{ "count" : 34057, "data" : [ { "id" : "6a305a03f292fd229cf4c7ef", "title" : "Lansing Boys Varsity Swim and Dive", "company" : "Lansing School District", "industry" : "LSEA Coach & Cocurricular", "salary" : { "min" : 1877.0, "max" : 8919.0, "currency" : "USD", "frequency" : "one-time" }, "location" : "Lansing, MI", "locations" : [ "Lansing, MI" ], "timestamp" : "2026-06-16T15:02:34.410", "fingerprint" : "de4a54033e4c975b38ea34ea81544e79602cb526354edfc62362269fc8b767d2", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lansingschools/a0c4cd72-cdb7-4161-a475-2e074d8ab5ec/apply", "externalId" : "a0c4cd72-cdb7-4161-a475-2e074d8ab5ec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lansing", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7338254,-84.5546295" } ], "locationText" : "Lansing, Michigan, United States", "remoteFriendly" : false, "rawDescription" : "## Description The Lansing School District serves over 10,000 PreK-12 students across 25 school buildings in the increasingly diverse urban community of Lansing, MI. We are unique compared to other districts because of the wide variety of exciting and innovative educational options from which families and staff members can choose. All of Lansing School District’s team members are dedicated to our mission to provide an excellent education to all students in a safe and nurturing environment. In the pursuit of our mission, we are hiring athletic coaches. These individual will be responsible for supporting their team(s) success, including in the classroom. In particular, the coach will be expected to recruit a full team, coach their team to a competitive record, and ensure their team is academically successful for the whole season. They will also be encouraged to provide offseason training opportunities and expected to lead in-season tutoring, in accordance with MHSAA policies. ## Minimum Qualifications Previous successful coaching experienceKnowledge of high-quality coaching tactics and practice drillsKnowledge of MHSAA & LSD rules and policiesCPR Certification & first aid trainingAlignment with Lansing School District's mission and values ## Preferred Qualifications Valid Michigan Teacher CertificateSuccessful NCAA athletic career ## Job Responsibilities Lead and support your team(s) throughout the entire seasonRecruit a full team of players by the first day of the season, including running competitive tryouts if necessaryCoach your team(s) to a winning record, with the goal of reaching and excelling in postseason playEnsure all your players are academically eligible and successful throughout the entire seasonOrganize and communicate consistent practice and competitive game schedules in collaboration with the Athletic DirectorMaintain and distribute team equipment and jerseys at the beginning and end of the seasonOrganize and operate offseason conditioning, training, and clinics for both team members and community membersAbide by all MHSAA policies and regulationsOther duties as assigned to best support the Lansing School District mission ## Additional Information At the Lansing School District, we champion diversity, equity, and inclusion, providing equal opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or sexual orientation. We foster a rich environment for professional growth and student experiences by valuing diverse perspectives. As an equal opportunity employer, we invite passionate individuals dedicated to educational excellence to apply for our positions. We value internal mobility and list \"Strong Internal Candidate\" when considering an internal candidate before posting a job. We still encourage all candidates to apply. Complete the attached online application at your earliest convenience. If selected, we will contact you to set up an interview. While we strive to provide prompt feedback, the high volume of applicants may limit our ability to do so. All of our jobs will be posted for at least 10 days (unless otherwise noted), but we will review applications on a rolling basis. External candidates interested in multiple positions within the same department need only apply to one posting and can indicate other roles of interest in the final question. We will consider your application for various roles based on your qualifications. Internal candidates should apply using their SSO email address and submit separate applications for each role of interest. Thank you for your interest in joining our mission-driven team. We look forward to meeting you! This job description is intended to outline the general responsibilities and qualifications for the position. It is not an exhaustive list of duties, and the Lansing School District reserves the right to modify job responsibilities as needed. Due to the evolving needs of the District, additional job responsibilities may be assigned (depending on funding sources).", "summaryDescription" : "Lansing Boys Varsity Swim and Dive at Lansing School District", "postedDate" : "2026-06-15T16:59:32.643", "createdAt" : "2026-06-15T16:59:32.643", "lastUpdated" : "2026-06-16T15:02:34.410", "ingestTimestamp" : "2026-06-16T03:23:32.702", "mongoId" : "6a305a03f292fd229cf4c7ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 1877, "salaryAnnualMax" : 8919, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "_score" : 876.73663, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "69f2d9ba4c40e2acd18900ae", "title" : "Senior Materials and Processes Engineer", "company" : "ERC", "industry" : "Government", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Materials and Processes Engineer in Houston, adjusted for the aerospace industry and senior experience level." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "timestamp" : "2026-06-15T08:00:28.785", "fingerprint" : "5f7d4c27267b47c1506a0ad192d8990c2d5b292c2a56ce522116f90eca9567d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324737", "externalId" : "324737", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Materials selection, Process control, Corrosion prevention, Electrical bonding, Flammability, Toxic offgassing, Heat treatment, Adhesive bonding, Contamination control", "professionalSkills" : [ "Requirements verification", "Hazard reviews", "Anomaly resolution", "Re-flight assessments", "Flight acceptance testing" ], "hardSkillsList" : [ "Materials engineering", "Process engineering", "Failure analysis" ], "softSkillsList" : [ "Critical thinking", "Problem-solving" ], "hardSkills" : [ { "name" : "Materials engineering", "level" : "intermediate" }, { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Problem-solving" } ], "majorSkills" : "Materials and Processes, Space applications, Hardware design", "majorSkillsList" : [ "Materials and Processes", "Space applications", "Hardware design" ], "coreResponsibilities" : "Advise on requirements for M&P, Provide consultation on M&P requirements, Assist in review of hardware, Assist in development of hardware, Assist in review of analysis, Assist in development of analysis, Assist in review of operations, Assist in development of operations, Assist in review of hazard reviews, Assist in development of hazard reviews, Assist in review of anomaly resolution, Assist in development of anomaly resolution, Assist in review of requirements verification, Assist in development of requirements verification, Assist in review of re-flight assessments, Assist in development of re-flight assessments, Assist in review of flight acceptance testing, Assist in development of flight acceptance testing, Formulate presentations, Present to program boards, Implement M&P system requirements, Develop verification plans, Develop validation plans, Provide input to specifications, Ensure materials requirements incorporated, Review project documentation, Review specifications, Review engineering drawings, Assess vendor processes, Define process changes, Provide vendors recommendations, Provide inspection support, Provide manufacturing process support", "teamCollaboration" : "Coordinate across disciplines; Work collaboratively independently", "domainKnowledge" : "Space applications; IVA environments; EVA environments; Propulsion systems; Crew compartments; Life support systems; Thermal systems; Electronic systems; Human space flight", "domainList" : [ "space-applications", "iva-environments", "eva-environments", "propulsion-systems", "crew-compartments", "life-support-systems", "thermal-systems", "electronic-systems", "human-space-flight" ], "domainSpecificKnowledge" : [ "Space applications", "IVA environments", "EVA environments", "Propulsion systems", "Crew compartments", "Life support systems", "Thermal systems", "Electronic systems", "Human space flight" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Process specification", "problemSolvingSkills" : "Analytical skills", "specialRequirements" : "Proof of U.S. Citizenship, US Permanent Residency, Background investigation, Office environment, Inside work, Outside work, Sitting extended periods, Standing extended periods, Lifting up to 25 lbs, Standard office equipment, Regular attendance, Work outside normal schedule, Professional behavior, Appropriate grooming, Appropriate dress", "qualificationsBasic" : "Bachelor's degree in Engineering, 7+ years related work experience, Knowledge in materials and processes, Familiar with materials specifications, Knowledge in engineering drawing review", "qualificationsPreferred" : "M.S. or Ph.D. in Engineering, 10+ years related work experience, Previous experience in material selection, Previous experience directing technical team, Previous experience with human space flight", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Senior Materials and Processes Engineer to join the JETSII Contract with ERC, a teammate company. The Senior Materials and Processes Engineer will: Advise, guide, and provide consultation on requirements for Materials & Processes (M&P) for intravehicular (IVA) and extravehicular (EVA) environments, including materials selection,process control and qualification, design for corrosion prevention, electrical bonding, flammability, toxic offgassing, and processes specification. Assist in review and development of hardware, analysis, operation, hazard reviews, anomaly resolution, requirements verification, re-flight assessments, and flight acceptance testing. Formulate presentations and present to program boards as appropriate. Implement M&P system requirements into hardware design and develop verification and validation plans and statements. Provide input to program/project specifications and ensure appropriate materials requirements are incorporated into all program/project specifications at the right level. Review project/program documentation, specifications, and engineering drawings to ensure M&P requirements are met for spaceflight hardware. Assess whether standard vendor processes meet requirements, and if not, clearly define changes that need to be implemented. Provide vendors with recommendations for qualification and acceptance testing that will properly satisfy verification of requirements. Provide inspection and manufacturing process support for human space flight system. Other duties as required. Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor’s degree in Engineering and may be expected to have a related master's degree and normally possess 10-15 years of related experience. Bachelor's degree or higher in Engineering (Metallurgy, Materials Science, Aerospace, Mechanical, Electrical, Chemical, Systems). 7 or more years of related work experience in Materials and Processes. Knowledge in materials and processes for space applications, including materials selection (metallics and nonmetallics), design for corrosion prevention and electrical bonding, failure analysis, heat treatment, adhesive bonding, contamination control, etc. Familiar with metallic and nonmetallic materials specifications, properties, testing. Knowledge in engineering drawing review for materials and processes. Overall background on M&P working knowledge for different systems: propulsion, crew compartments, environmental life support systems, thermal, and electronic systems. Effective written and verbal communication skills with the ability to critically assess manufacturing/material processes and designs. Willingness to learn and coordinate across other disciplines is highly desired. Ability to assess and prioritize tasks and identify potential technical risks. Ability to work collaboratively and independently in a multidisciplinary field. Strong analytical and problem-solving skills. Requisition Preferences: M.S. or Ph.D. in Engineering. 10 or more years of related Materials and Processes work experience for spacecraft. Previous experience in material selection (metallics and nonmetallics) for electrical components, corrosion prevention, flammability prevention, oxygen compatibility, processes qualification, contamination control, development, test, and evaluation for NASA and/or aerospace projects. Previous experience in directing, guiding, and coordinating a technical team is highly desirable. Previous experience with human space flight system engineering and integration practices. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Senior Materials and Processes Engineer at ERC. Skills: Materials and Processes, Space applications, Hardware design. Advise on requirements for M&P. Provide consultation on M&P requirements", "createdAt" : "2026-06-14T02:00:26.907", "lastUpdated" : "2026-06-15T08:00:28.785", "ingestTimestamp" : "2026-06-14T02:00:26.907", "mongoId" : "69f2d9ba4c40e2acd18900ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Materials engineering", "Process engineering", "Failure analysis", "Critical thinking", "Problem-solving", "Materials and Processes", "Space applications", "Hardware design", "Requirements verification", "Hazard reviews", "Anomaly resolution", "Re-flight assessments", "Flight acceptance testing", "IVA environments", "EVA environments", "Propulsion systems", "Crew compartments", "Life support systems", "Thermal systems", "Electronic systems", "Human space flight" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 648.35126, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e426f8b1b0376634c664", "title" : "Deep Learning Architect", "company" : "AWS EMEA SARL (UK Branch)", "industry" : "Machine Learning Science, Professional Services, Cloud Computing", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Deep Learning Architect in London, UK, adjusted for the technology industry and a large company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T07:33:27.737", "fingerprint" : "b0fb4337e31041118fec08f32973a3c680bee1640d0be846ce49aae812f44c50", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076891/apply", "externalId" : "d6cfc2c9-5289-4ce6-b284-966629aa95f7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Generative AI, Machine Learning, Deep Learning, AWS", "professionalSkills" : [ "Solution design", "Customer engagement", "Technical asset creation", "Best practice recommendations" ], "hardSkillsList" : [ "Algorithm development", "Model deployment", "Model tuning", "Inference deployment" ], "hardSkills" : [ { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model tuning", "level" : "intermediate" }, { "name" : "Inference deployment", "level" : "intermediate" } ], "majorSkills" : "Deep Learning, Generative AI, Machine Learning, AWS", "majorSkillsList" : [ "Deep Learning", "Generative AI", "Machine Learning", "AWS" ], "coreResponsibilities" : "Collaborate to research, design and develop algorithms, Understand adoption patterns for generative AI, Share adoption patterns across teams, Interact with customers to understand business problem, Aid customers in implementation of generative AI solutions, Deliver briefing and deep dive sessions, Guide customer on adoption patterns, Guide customer on productionization paths, Create and deliver reusable technical assets, Create and deliver best practice recommendations, Create and deliver tutorials, Create and deliver blog posts, Create and deliver sample code, Create and deliver presentations, Provide customer and market feedback", "teamCollaboration" : "Cross-functional team; Work with customers; Partner with technology teams; Partner with business teams; Work with ML scientists; Work with ML engineers; Work with architects; Work with strategists; Work with Product teams; Work with Engineering teams", "domainKnowledge" : "Generative AI; Foundation models; ML solutions; Cloud platform", "domainList" : [ "generative-ai", "foundation-models", "ml-solutions", "cloud-platform" ], "domainSpecificKnowledge" : [ "Generative AI", "Foundation models", "ML solutions", "Cloud platform" ], "communicationSkills" : "Customer presentations; Technical writing; Executive presentations", "innovationCreativity" : "Innovate in fast-paced organization; Game-changing projects; Invent solutions", "problemSolvingSkills" : "Solve real-world challenges; Solve never-before-solved problems", "qualificationsBasic" : "Bachelor's degree in computer science, Experience in design, implementation, or consulting, Experience architecting or deploying Cloud/Virtualization solutions, Proven knowledge of deep learning, Experience hosting and deploying ML solutions, Scientific thinking, Ability to invent, Track record of thought leadership", "qualificationsPreferred" : "MSc degree in computer science, Proven knowledge of Generative AI, Hands-on experience building applications with large foundation models, Proven knowledge of AWS platform, Hands-on experience building ML solutions on AWS, Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. We’re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities - Collaborate with ML scientist and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges - Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and productionization paths for generative AI - Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction About the team GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor’s degree in computer science, engineering, mathematics or equivalent - Experience in design, implementation, or consulting in applications and infrastructures - Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers - Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field Preferred Qualifications: - MSc degree in computer science, engineering, mathematics or equivalent - Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models - Proven knowledge of AWS platform and tools - Hands-on experience of building ML solutions on AWS - Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Deep Learning Architect at AWS EMEA SARL (UK Branch). Skills: Deep Learning, Generative AI, Machine Learning, AWS. Collaborate to research, design and develop algorithms. Understand adoption patterns for generative AI", "postedDate" : "2026-06-13T19:18:22.173", "createdAt" : "2026-06-13T19:18:22.173", "lastUpdated" : "2026-06-15T07:33:27.737", "ingestTimestamp" : "2026-06-13T19:18:22.173", "mongoId" : "68c2e426f8b1b0376634c664", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076891/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Algorithm development", "Model deployment", "Model tuning", "Inference deployment", "Deep Learning", "Generative AI", "Machine Learning", "AWS", "Solution design", "Customer engagement", "Technical asset creation", "Best practice recommendations", "Foundation models", "ML solutions", "Cloud platform" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 626.0072, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e1f9bc74574cb6752c5", "title" : "Materials & Processes Engineer", "industry" : "Government", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Materials & Processes Engineer in Houston, United States, adjusted for the aerospace industry." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "timestamp" : "2026-06-16T00:33:57.896", "fingerprint" : "b9afaed1b4d3a6cf42865e82c5c936a640e599d680f6fdc694853dff47804acc", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=324410", "externalId" : "324410", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "technicalSkills" : "Materials selection, Process control, Qualification, Corrosion prevention, Electrical bonding, Flammability, Toxic offgassing, Metallics, Nonmetallics, Adhesive bonding, Contamination control, Propulsion systems, Crew compartments, Life support systems, Thermal systems, Electronic systems", "professionalSkills" : [ "Requirements verification", "Anomaly resolution", "Re-flight assessments", "Flight acceptance testing", "Vendor qualification", "Manufacturing process support" ], "hardSkillsList" : [ "Failure analysis", "Heat treatment" ], "hardSkills" : [ { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "Heat treatment", "level" : "intermediate" } ], "majorSkills" : "Materials and Processes, Space applications, Hardware design, Specification development", "majorSkillsList" : [ "Materials and Processes", "Space applications", "Hardware design", "Specification development" ], "coreResponsibilities" : "Advise on requirements for Materials & Processes, Guide on requirements for Materials & Processes, Provide consultation on requirements for Materials & Processes, Assist in review of hardware, Assist in development of hardware, Assist in review of analysis, Assist in development of analysis, Assist in review of hazard reviews, Assist in development of hazard reviews, Assist in review of anomaly resolution, Assist in development of anomaly resolution, Assist in review of requirements verification, Assist in development of requirements verification, Assist in review of re-flight assessments, Assist in development of re-flight assessments, Assist in review of flight acceptance testing, Assist in development of flight acceptance testing, Formulate presentations, Present to program boards, Implement M&P system requirements into hardware design, Develop verification plans, Develop validation plans, Provide input to program/project specifications, Ensure materials requirements are incorporated into specifications, Review project/program documentation, Review specifications, Review engineering drawings, Assess vendor processes, Define process changes, Provide vendors with recommendations for qualification testing, Provide vendors with recommendations for acceptance testing, Provide inspection support, Provide manufacturing process support", "teamCollaboration" : "Coordinate across disciplines", "domainKnowledge" : "Human space exploration; Spaceflight hardware; Space applications; IVA environments; EVA environments; NASA projects; Aerospace projects; Human space flight system", "domainList" : [ "human-space-exploration", "spaceflight-hardware", "space-applications", "iva-environments", "eva-environments", "nasa-projects", "aerospace-projects", "human-space-flight-system" ], "domainSpecificKnowledge" : [ "Human space exploration", "Spaceflight hardware", "Space applications", "IVA environments", "EVA environments", "NASA projects", "Aerospace projects", "Human space flight system" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Creative ideas", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "specialRequirements" : "U.S. Citizenship or US Permanent Residency, Complete U.S. government background investigation, Office environment, Inside or outside work, Sitting or standing for extended periods, Lifting and carrying up to 25 lbs, Regular attendance, Ability to work outside normal schedule, Adjust schedule to meet peak periods, Professional behavior, Appropriate grooming and dress", "qualificationsBasic" : "Bachelor's degree in Engineering, 2-5 years of experience in the field, 7 or more years of work experience in Materials and Processes, Knowledge in materials and processes for space applications, Familiar with metallic and nonmetallic materials specifications, Knowledge in engineering drawing review, Overall background on M&P working knowledge for different systems, Effective written and verbal communication skills, Ability to assess and prioritize tasks, Ability to work collaboratively and independently, Analytical and problem-solving skills", "qualificationsPreferred" : "M.S. or Ph.D. in Engineering, 10 or more years of Materials and Processes work experience, Previous experience in material selection for electrical components, Previous experience in directing, guiding, and coordinating a technical team, Previous experience with human space flight system engineering, Previous experience with integration practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. We have an exciting opportunity for a Materials & Processes Engineer to join the team. The Materials & Processes Engineer will: Advise, guide, and provide consultation on requirements for Materials & Processes (M&P) for intravehicular (IVA) and extravehicular (EVA) environments, including materials selection,process control and qualification, design for corrosion prevention, electrical bonding, flammability, toxic offgassing, and processes specification. Assist in review and development of hardware, analysis, operation, hazard reviews, anomaly resolution, requirements verification, re-flight assessments, and flight acceptance testing. Formulate presentations and present to program boards as appropriate. Implement M&P system requirements into hardware design and develop verification and validation plans and statements. Provide input to program/project specifications and ensure appropriate materials requirements are incorporated into all program/project specifications at the right level. Review project/program documentation, specifications, and engineering drawings to ensure M&P requirements are met for spaceflight hardware. Assess whether standard vendor processes meet requirements, and if not, clearly define changes that need to be implemented. Provide vendors with recommendations for qualification and acceptance testing that will properly satisfy verification of requirements. Provide inspection and manufacturing process support for human space flight system. Other duties as required. Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Typically requires a bachelor’s degree in Engineering and a minimum of 2-5 years of experience in the field or in the field or in a related area. Bachelor's degree or higher in Engineering (Metallurgy, Materials Science, Aerospace, Mechanical, Electrical, Chemical, Systems). 7 or more years of related work experience in Materials and Processes. Knowledge in materials and processes for space applications, including materials selection (metallics and nonmetallics), design for corrosion prevention and electrical bonding, failure analysis, heat treatment, adhesive bonding, contamination control, etc. Familiar with metallic and nonmetallic materials specifications, properties, testing. Knowledge in engineering drawing review for materials and processes. Overall background on M&P working knowledge for different systems: propulsion, crew compartments, environmental life support systems, thermal, and electronic systems. Effective written and verbal communication skills with the ability to critically assess manufacturing/material processes and designs. Willingness to learn and coordinate across other disciplines is highly desired. Ability to assess and prioritize tasks and identify potential technical risks. Ability to work collaboratively and independently in a multidisciplinary field. Strong analytical and problem-solving skills. Requisition Preferences: M.S. or Ph.D. in Engineering. 10 or more years of related Materials and Processes work experience for spacecraft. Previous experience in material selection (metallics and nonmetallics) for electrical components, corrosion prevention, flammability prevention, oxygen compatibility, processes qualification, contamination control, development, test, and evaluation for NASA and/or aerospace projects. Previous experience in directing, guiding, and coordinating a technical team is highly desirable. Previous experience with human space flight system engineering and integration practices. Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Materials & Processes Engineer. Skills: Materials and Processes, Space applications, Hardware design, Specification development. Advise on requirements for Materials & Processes. Guide on requirements for Materials & Processes", "createdAt" : "2026-06-14T18:50:46.245", "lastUpdated" : "2026-06-16T00:33:57.896", "ingestTimestamp" : "2026-06-14T18:50:46.245", "mongoId" : "69ce5e1f9bc74574cb6752c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Failure analysis", "Heat treatment", "Materials and Processes", "Space applications", "Hardware design", "Specification development", "Requirements verification", "Anomaly resolution", "Re-flight assessments", "Flight acceptance testing", "Vendor qualification", "Manufacturing process support", "Human space exploration", "Spaceflight hardware", "IVA environments", "EVA environments", "NASA projects", "Aerospace projects", "Human space flight system" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "_score" : 602.94415, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b1a74d8ee00a0910403", "title" : "Quantitative Researcher - Deep Learning", "company" : "XTX Markets", "industry" : "FinTech", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative Researcher in FinTech in London, UK, adjusted for company size and industry." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-15T13:20:22.233", "fingerprint" : "c609b569ead99a4f801b7c654f23ddec92e724cf64d212180fcb95f9e62381d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xtxmarketstechnologies/jobs/7770152003", "externalId" : "7770152003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Python, R, Scala, Spark, SQL, Deep learning, Machine learning, Statistics, Mathematics, Computer science, Physics", "professionalSkills" : [ "Research taste", "Mathematical depth", "Modelling practical", "Experimental taste", "Hypothesis formation", "Test design", "Ambiguous results reading", "Evidence interpretation", "Intellectual honesty" ], "hardSkillsList" : [ "Time-series prediction", "Cross-sectional prediction", "Representation improvement", "Objective improvement", "Optimization improvement", "Regularisation improvement", "Uncertainty estimation", "Evaluation methods", "Scaling improvement", "Robustness improvement", "Distribution shift handling", "Market feedback integration" ], "hardSkills" : [ { "name" : "Time-series prediction", "level" : "intermediate" }, { "name" : "Cross-sectional prediction", "level" : "intermediate" }, { "name" : "Representation improvement", "level" : "intermediate" }, { "name" : "Objective improvement", "level" : "intermediate" }, { "name" : "Optimization improvement", "level" : "intermediate" }, { "name" : "Regularisation improvement", "level" : "intermediate" }, { "name" : "Uncertainty estimation", "level" : "intermediate" }, { "name" : "Evaluation methods", "level" : "intermediate" }, { "name" : "Scaling improvement", "level" : "intermediate" }, { "name" : "Robustness improvement", "level" : "intermediate" }, { "name" : "Distribution shift handling", "level" : "intermediate" }, { "name" : "Market feedback integration", "level" : "intermediate" } ], "majorSkills" : "Deep learning, ML research, Forecasting systems, Modelling", "majorSkillsList" : [ "Deep learning", "ML research", "Forecasting systems", "Modelling" ], "coreResponsibilities" : "Do original research, Improve forecasting systems, Improve trading systems, Design deep learning models, Train deep learning models, Improve representations, Improve objectives, Improve optimisation, Improve regularisation, Improve uncertainty estimates, Improve evaluation methods, Improve scaling, Make models robust, Work with engineers, Work with technologists, Turn research into production, Learn market structure, Ask better modelling questions", "teamCollaboration" : "Flat team; Ideas challenged directly", "domainKnowledge" : "Financial instruments; Market structure; Trading systems; Time scales; Microseconds to weeks; Non-stationary data; Weak signals; Short-lived signals; Model evaluation; Costs; Latency; Risk; Capacity", "domainList" : [ "financial-instruments", "market-structure", "trading-systems", "time-scales", "microseconds-to-weeks", "non-stationary-data", "weak-signals", "short-lived-signals", "model-evaluation", "costs", "latency", "risk", "capacity" ], "domainSpecificKnowledge" : [ "Financial instruments", "Market structure", "Trading systems", "Time scales", "Microseconds to weeks", "Non-stationary data", "Weak signals", "Short-lived signals", "Model evaluation", "Costs", "Latency", "Risk", "Capacity" ], "problemSolvingSkills" : "Test hypotheses; Read ambiguous results; Change mind quickly", "qualificationsBasic" : "Deep practical understanding of modern deep learning, Mathematical and statistical foundations, Excellent programming ability, Comfort working close to implementation details, Good experimental taste, High standards, Intellectual honesty", "qualificationsPreferred" : "PhD or equivalent research experience, Experience training large models, Building ML systems at scale, Time-series modelling experience, Online learning experience, Continual learning experience, Reinforcement learning experience, Causal inference experience, Probabilistic modelling experience, Optimisation experience, Compilers experience, HPC experience, Low-latency systems experience, Experience taking research beyond prototype", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Firm XTX Markets is a leading algorithmic trading firm. We build models that forecast prices for more than 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. Those forecasts are used to trade on exchanges and other venues, and to provide liquidity to clients. The firm trades over $250bn a day across 35 countries, with over 300 people in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. XTX is a technology business. Trading here is driven by research, large-scale computation and careful engineering. Over the last decade our models have moved from the econometric methods that gave the firm its name, through trees and neural networks, to modern deep learning. We expect that evolution to continue, and we are looking for researchers who can push it. The research platform is large by any standard, and particularly unusual in trading: well over 25,000 GPUs and more than 1 exabyte of usable storage, with further compute being built in Finland. The point is simple: good ideas should not be bottlenecked by data, infrastructure or compute. The Team This role sits in XTX's central Quantitative Research team, the group responsible for the firm's core forecasting research. The team reports directly to XTX's founder and is intentionally flat. There is little ceremony and little hierarchy; researchers are expected to have ideas, test them properly, argue from evidence and get useful work into the system. The work is modern ML research, not finance by another name. You do not need to have worked in trading. The best candidates usually have strong research taste, mathematical depth and the ability to make models work in practice. An interest in markets helps, because the domain is full of useful structure, but trading intuition can be built here. The Role Trading is a hard setting for machine learning in ways that are not always obvious from outside the industry. The data is enormous, messy, non-stationary and produced by other agents. Signals are weak and often short-lived. Evaluation is unforgiving: costs, latency, risk and capacity all matter, and a model that looks good in a backtest may still be useless in the market. The time scales also range from microseconds to weeks, so there is no single right abstraction. Your job will be to do original research that improves XTX's forecasting and trading systems. Depending on your background, that may mean: Designing and training deep learning models for large-scale time-series and cross-sectional prediction. Improving representations, objectives, optimisation, regularisation, uncertainty estimates, evaluation methods or scaling. Making models more robust under distribution shift and feedback from the market. Working with engineers and trading technologists to turn research into production systems. Learning enough market structure to ask better modelling questions. This is not about applying standard methods to tidy datasets. It is a place to do serious ML research on difficult data, with enough compute and infrastructure for ambitious ideas to be tested properly. What We Are Looking For Evidence of original technical ability in ML, statistics, mathematics, computer science, physics or another quantitative field. Publications are one route, but not the only one; strong industrial research or major open-source contributions can also be good evidence. Deep practical understanding of modern deep learning: architectures, objectives, optimisation, scaling, evaluation and failure modes. Strong mathematical and statistical foundations. Excellent programming ability and comfort working close to the details of implementation. Good experimental taste: forming hypotheses, designing clean tests, reading ambiguous results and changing your mind quickly when the evidence changes. High standards, intellectual honesty and the ability to work in a flat team where ideas are challenged directly. No finance background is needed; the important thing is being willing to learn the domain. Beneficial Experience PhD or equivalent research experience in a relevant technical field. Experience training large models or building ML systems at meaningful scale. Work in time-series modelling, online or continual learning, reinforcement learning, causal inference, probabilistic modelling, optimisation, compilers, HPC or low-latency systems. Experience taking research beyond a prototype. Benefits Key benefits include: Onsite gym, sauna and fitness classes. Extensive medical benefits, including onsite doctor and therapist. Breakfast and lunch provided daily. Support for caregivers, including emergency dependent care. King's Cross office. 25 days paid holiday per year, plus statutory holidays and paid sick days. Generous pension contributions.", "summaryDescription" : "Quantitative Researcher - Deep Learning at XTX Markets. Skills: Deep learning, ML research, Forecasting systems, Modelling. Do original research. Improve forecasting systems", "postedDate" : "2026-06-14T07:54:53.456", "createdAt" : "2026-06-14T07:54:53.456", "lastUpdated" : "2026-06-15T13:20:22.233", "ingestTimestamp" : "2026-06-14T07:54:53.456", "mongoId" : "6a2c6b1a74d8ee00a0910403", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Time-series prediction", "Cross-sectional prediction", "Representation improvement", "Objective improvement", "Optimization improvement", "Regularisation improvement", "Uncertainty estimation", "Evaluation methods", "Scaling improvement", "Robustness improvement", "Distribution shift handling", "Market feedback integration", "Deep learning", "ML research", "Forecasting systems", "Modelling", "Research taste", "Mathematical depth", "Modelling practical", "Experimental taste", "Hypothesis formation", "Test design", "Ambiguous results reading", "Evidence interpretation", "Intellectual honesty", "Financial instruments", "Market structure", "Trading systems", "Time scales", "Microseconds to weeks", "Non-stationary data", "Weak signals", "Short-lived signals", "Model evaluation", "Costs", "Latency", "Risk", "Capacity" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 597.0198, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca59174d8ee00a09b7258", "title" : "Specialist, Procurement Systems and Processes", "company" : "Scout Motors", "industry" : "Manufacturing", "salary" : { "min" : 90000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC" ], "timestamp" : "2026-06-15T08:55:30.709", "fingerprint" : "a0500f2cb5f4797ae2cc0e750a9c0f9141ea7497a5714d8ce46f7f66f8cb4837", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5160758007", "externalId" : "5160758007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SAP, ERP", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "System optimization", "User training", "Data accuracy", "Data integrity", "Reporting tools", "Process improvement" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "System optimization", "level" : "intermediate" }, { "name" : "User training", "level" : "intermediate" }, { "name" : "Data accuracy", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Reporting tools", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Procurement systems, Procurement processes, IT systems support", "majorSkillsList" : [ "Procurement systems", "Procurement processes", "IT systems support" ], "coreResponsibilities" : "Act as subject matter expert, Lead system rollout, Establish system rollout schedule, Define necessary resources, Ensure smooth functioning, Collaborate with IT, Resolve technical issues, Suggest system improvements, Implement new features, Enhance procurement efficiency, Monitor system performance, Coordinate upgrades, Provide first-level support, Develop user training programs, Deliver user training, Create system manuals, Create process manuals, Ensure data accuracy, Ensure data integrity, Generate reports, Analyze reports, Support decision-making, Support process improvements, Refine reporting tools, Refine metrics, Identify process improvements, Ensure alignment with systems, Streamline procurement operations, Increase efficiency, Lead projects, Participate in projects, Implement new tools, Implement new functionalities, Act as bridge, Ensure system requirements met, Communicate issues effectively, Participate in meetings, Discuss system needs, Discuss system updates, Discuss system performance", "teamCollaboration" : "Cross-functional teams; Procurement and IT; Procurement and other departments; Meetings with IT teams; Meetings with vendors", "projectManagementSkills" : [ "System improvements", "System updates", "New procurement tools" ], "domainKnowledge" : "Procurement operations; Procurement IT systems; Electric pick-up trucks; Rugged SUVs", "domainList" : [ "procurement-operations", "procurement-it-systems", "electric-pick-up-trucks", "rugged-suvs" ], "domainSpecificKnowledge" : [ "Procurement operations", "Procurement IT systems", "Electric pick-up trucks", "Rugged SUVs" ], "toolProficiency" : [ "SAP", "ERP" ], "documentationSkills" : "User training programs; System manuals; Process manuals", "innovationCreativity" : "System improvements; New features", "problemSolvingSkills" : "Troubleshooting issues; Resolve technical issues", "specialRequirements" : "5 days per week in office, 10% travel", "outcomesObjectives" : "Maximize system efficiency; Enhance procurement efficiency; Support decision-making; Support process improvements; Streamline procurement operations; Increase efficiency", "qualificationsBasic" : "5 days per week in office, Valid driver's license", "qualificationsPreferred" : "Experience generating procurement reports, Experience interpreting procurement reports", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! About the team The Procurement Systems and Processes Specialist is responsible for the effective use, optimization, and support of Procurement IT systems that underpin procurement operations. This role serves as the main point of contact between the Procurement department and IT teams, ensuring that procurement processes are fully supported by technology and that system users are trained to maximize efficiency. The Senior Specailst plays a crucial role in implementing system improvements, troubleshooting issues, and acting as a liaison during system updates or changes. What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Act as the subject matter expert (SME) for procurement IT systems, including ERP (e.g., SAP), eProcurement tools, and other digital platforms used in procurement processes. System Rollout, Maintenance & Optimization: Lead rollout and launch of Scout’s Procurement systems, working cross-functionally with Scout IT and Global Procurement colleagues. Establish system rollout schedule, budget, and define the necessary resources to meet requirements Ensure the smooth functioning of procurement systems by collaborating with IT to resolve any technical issues. Suggest and implement system improvements or new features to enhance procurement efficiency. Monitor system performance and coordinate upgrades or updates. User Support & Training: Provide first-level support to procurement team members and other system users for system-related issues or queries. Develop and deliver user training programs, documentation, and system and process manuals. Ensure that end-users are proficient in using procurement systems and follow best practices. Data Management & Reporting: Ensure data accuracy and integrity within procurement systems, including vendor information, purchase orders, contracts, and more. Generate and analyze reports from procurement systems to support decision-making and process improvements. Collaborate with procurement management to refine reporting tools and metrics. Process Improvement: Identify opportunities for process improvements within procurement workflows, ensuring alignment with system capabilities. Collaborate with cross-functional teams to streamline procurement operations and increase efficiency. Lead or participate in projects to implement new procurement tools or functionalities. Stakeholder Liaison: Act as a bridge between procurement, IT, and other departments to ensure system requirements are met and issues are communicated effectively. Participate in meetings with IT teams and external system vendors to discuss system needs, updates, and performance. Location & Travel Expectations: This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC or Novi, Michigan. This role requires 5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: Domestic and international travel required, approximately 10 % of the time. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Personal Qualities & Abilities: High integrity and professionalism Able to effectively collaborate in a team setting with other functions/departments Business and performance driven Ability to adapt in an ambiguous and fact-paced environment Strong planning and analytical skills Strategic thinking & understanding Positive mindset Proactivity and the ability to work across multiple workstreams A passion for creating something new       Ability to find creative solutions to complex problems Ability to communicate effectively across all levels of an organization Minimum requirements: A Bachelor’s degree in in Supply Chain Management, Information Systems, Business Administration, or a related field is preferred 4+ years of experience in a manufacturing or automotive environment, preferably in a Project Management, IT Project Management or similar function Strong knowledge of procurement processes and systems (e.g., ERP systems, eProcurement) and prior experience in a procurement or IT support role Experience with SAP, Ivalua, Oracle, AI Tools is preferred Strong problem-solving skills and ability to troubleshoot system issues Excellent communication skills and ability to train and support end-users Ability to work cross-functionally and manage multiple stakeholders Analytical mindset with experience in generating and interpreting procurement reports What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $90,000.00 - $115,000.00 Internal leveling code: IC9 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Specialist, Procurement Systems and Processes at Scout Motors. Skills: Procurement systems, Procurement processes, IT systems support. Act as subject matter expert. Lead system rollout", "postedDate" : "2026-06-14T03:46:44.862", "createdAt" : "2026-06-14T03:46:44.862", "lastUpdated" : "2026-06-15T08:55:30.709", "ingestTimestamp" : "2026-06-14T03:46:44.862", "mongoId" : "6a2ca59174d8ee00a09b7258", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "System optimization", "User training", "Data accuracy", "Data integrity", "Reporting tools", "Process improvement", "Leadership", "Critical thinking", "Procurement systems", "Procurement processes", "IT systems support", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "System improvements", "System updates", "New procurement tools", "Procurement operations", "Procurement IT systems", "Electric pick-up trucks", "Rugged SUVs", "SAP", "ERP" ], "skillCount" : 25, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 587.1057, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30667af292fd229cfb21ea", "title" : "Engineering Manager, Mapping Platform", "company" : "Nuitée", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Barcelona, Spain, adjusted for seniority and full-time employment." }, "location" : "Europe", "locations" : [ "Europe" ], "timestamp" : "2026-06-16T10:10:22.774", "fingerprint" : "8ed734782a3d33366bce31365ecc2b15cd6e899d5c0fb36497b5813e443cc1c6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nuitee/jobs/4897709101", "externalId" : "4897709101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.3825802,2.1770730" }, { "city" : "Palma", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "39.5695818,2.6500745" }, { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3493795,-6.2605593" }, { "city" : "Casablanca", "country" : "Morocco", "continent" : "af", "source" : "llm", "workMode" : "hybrid", "geo" : "33.5945144,-7.6200284" }, { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Barcelona, Spain; Palma, Spain; Dublin, Ireland; Casablanca, Morocco", "experienceLevel" : "Manager", "technicalSkills" : "ML, Data", "professionalSkills" : [ "System design", "Data flows", "Architecture" ], "hardSkillsList" : [ "Matching", "Deduplication", "Data quality", "Entity resolution", "Classification", "Content enrichment", "Data automation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Matching", "level" : "intermediate" }, { "name" : "Deduplication", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Entity resolution", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Content enrichment", "level" : "intermediate" }, { "name" : "Data automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Own the mapping platform, Lead the team, Modernise systems, Modernise workflows, Build operating model, Turn fragmented data into inventory, Improve mapping quality, Reduce manual work, Reduce operational bottlenecks", "teamCollaboration" : "Engineering; Data/ML; Mapping operations", "domainKnowledge" : "Hotel inventory; Supplier data; Travel industry; API backbone; Travel ecosystem; Hotel mapping; Room mapping; Content mapping; Inventory quality; Cloud-native architecture; Distributed systems", "domainList" : [ "hotel-inventory", "supplier-data", "travel-industry", "api-backbone", "travel-ecosystem", "hotel-mapping", "room-mapping", "content-mapping", "inventory-quality", "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Hotel inventory", "Supplier data", "Travel industry", "API backbone", "Travel ecosystem", "Hotel mapping", "Room mapping", "Content mapping", "Inventory quality", "Cloud-native architecture", "Distributed systems" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve mapping quality at scale; Connect technical work to conversion; Connect technical work to supply quality; Connect technical work to customer experience; Connect technical work to revenue", "qualificationsBasic" : "Software engineering background, Computer science background, Understand backend systems, Understand data systems, Understand platform systems, Understand infrastructure systems, Led teams on data-heavy products, Mentor engineers, Raise technical bar", "qualificationsPreferred" : "Experience with matching, Experience with entity resolution, Experience with search, Experience with ranking, Experience with recommendations, Experience with classification, Experience with content enrichment, Experience with catalog quality, Experience with data quality automation, Experience with production ML systems, Experience with production data systems", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the company At Nuitée, we are building the API backbone for the global travel industry. Founded in 2017, Nuitée is on a mission to transform a fragmented travel ecosystem with simple, scalable, and API-first infrastructure—think “Stripe for Travel.” By enabling seamless connectivity between hotels, OTAs, fintechs, super-apps, and businesses, some of which are entering the travel market for the first time, Nuitée empowers companies to deliver reliable travel products effortlessly. Our robust platform simplifies complex supplier networks, offering direct access to hotel inventory with better pricing, coverage, and technology. With teams across the globe, including hubs in London, New York, San Francisco, Palma de Mallorca and Casablanca, Nuitée has grown into a global infrastructure provider trusted by industry leaders like Hopper, Priceline, Google, and Uber. Now backed by leading VCs and world-class investors including leaders from Booking.com, Stripe, and Shopify, Nuitée is positioned to redefine the B2B travel market, streamline operations for hotels, and enable new applications through cutting-edge APIs. Nuitée is at the forefront of a revolution—delivering AI-powered, smarter, and more personalized travel experiences for a new era. About the role Remote in EU, or hybrid in Barcelona, Palma, Dublin, or Casablanca. This is an Engineering Manager role for someone who wants to stay close to hard technical and data problems. Nuitée is hiring an Engineering Manager to own the mapping platform that turns messy global hotel supply into accurate, trusted, sellable inventory. You’ll lead a business-critical domain where matching, deduplication, content enrichment, automation, and ML directly affect whether hotel inventory can be searched, trusted, booked, and sold. Every supplier describes the hotel world differently. The same hotel can appear under different IDs. Room types can be named and structured differently. Content can be incomplete, duplicated, mismatched, or attached to the wrong hotel or room. Cupid is our internal mapping platform. It covers hotel mapping, room mapping, content mapping, and the operational workflows that keep inventory quality high at scale. Your role is to lead the team behind it, modernise the systems and workflows, and build a clearer operating model across engineering, data/ML, and mapping operations. A good way to think of it is: you turn fragmented supplier data into reliable inventory that customers can search, trust, book, and sell. What makes it interesting for you You own a hard, specific domain at the core of hotel inventory quality You stay close to technical decisions, architecture, data flows, and tradeoffs You work on production ML problems around matching, classification, enrichment, automation, and data quality You modernise a mature platform with real room to improve the systems, workflows, and team structure Your work connects directly to conversion, supply quality, customer experience, and revenue This is a high-ownership role with high expectations, and it comes with meaningful equity in the company. Nuitée was already profitable before raising a $48M Series A led by Accel, and has grown 10x since 2022. If you help build the next phase of Nuitée, we want you to share meaningfully in the value you create. The kind of problems you’ll work on How do we match the same hotel or room when different suppliers describe it differently? How do we make images, descriptions, amenities, and other content more accurate and useful? How do we use automation and ML to improve mapping quality while keeping systems explainable and operable? How do we reduce manual work and operational bottlenecks while keeping quality high? How do we create one clear operating model across engineering, data/ML, and mapping operations? This role fits if you have experience as an Engineering Manager or senior technical engineering leader have a strong software engineering / computer science background understand backend, data, platform, and infrastructure systems have led teams working on complex data-heavy products can mentor engineers and raise the technical bar in a relatively junior team can connect technical work to user value, quality, and commercial outcomes are structured, pragmatic, and analytical Experience with matching, entity resolution, search, ranking, recommendations, classification, content enrichment, catalog quality, data quality automation, or production ML/data systems would be especially relevant. Nuitée is fast-moving, low on process, and high on ownership. That suits you if you like pace, responsibility, technical complexity, and building structure without slowing things down. If that resonates, we’d love to hear from you. You can apply with your LinkedIn profile or CV. The process is straightforward and typically takes 2 to 3 weeks. Why Nuitee? At Nuitée, we’re not just reimagining travel—we’re building the infrastructure to power it. Massive Market Opportunity: We are tackling the $9.9tn travel industry, starting with the $75 billion B2B hotel market, a fragmented space filled with outdated systems, gatekeepers, and inefficiencies. Nuitée’s API-first platform is solving this, enabling businesses to access hotel inventory seamlessly and at scale. World-Class Backing: Backed by Accel and visionary leaders across tech and travel—including Booking.com, Stripe, and Shopify—we’re equipped to scale our ambition globally. Bootstrapped Resilience, Startup Agility: Having grown profitably for years without external funding, we combine operational discipline with the speed and innovation of a scaling startup. Global Impact: Our infrastructure supports partners like Google, Grab, worldwide fintechs, superapps, travel companies and others AI-Driven Innovation: Nuitée is uniquely positioned to power the future of travel in the AI era—enabling seamless, intelligent, and hyper-personalized travel interactions. By joining Nuitée, you’ll be part of a team that’s building a category-defining platform. You’ll work on a global scale, innovate alongside industry leaders, and help drive the next phase of travel technology. If you’re excited to push boundaries, redefine a multi-trillion-dollar industry, and grow with us—Nuitée is the place for you. By submitting your application, you consent to Nuitée processing your personal data for the purposes of assessing your suitability for employment. Your information will be stored securely and will only be retained for as long as necessary for the recruitment process, or up to 6 months afterward, in accordance with our data protection policy and applicable laws. You have the right to request access, correction, or deletion of your personal data at any time by contacting us at careers@nuitee.com. For more details, please see our Privacy Policy: Nuitée Privacy Notice 2026.", "summaryDescription" : "Engineering Manager, Mapping Platform at Nuitée. Own the mapping platform. Lead the team", "postedDate" : "2026-06-15T23:28:40.444", "createdAt" : "2026-06-15T23:28:40.444", "lastUpdated" : "2026-06-16T10:10:22.774", "ingestTimestamp" : "2026-06-15T23:28:40.444", "mongoId" : "6a30667af292fd229cfb21ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Matching", "Deduplication", "Data quality", "Entity resolution", "Classification", "Content enrichment", "Data automation", "Leadership", "System design", "Data flows", "Architecture", "Hotel inventory", "Supplier data", "Travel industry", "API backbone", "Travel ecosystem", "Hotel mapping", "Room mapping", "Content mapping", "Inventory quality", "Cloud-native architecture", "Distributed systems" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 580.36786, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176b974d8ee00a0c1ab0a", "title" : "Business Intelligence Engineer, EMXO PLX - Analytics and Science Team", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, amazon business", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Business Intelligence Engineer in E-Commerce in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:12:44.776", "fingerprint" : "bf7d7ec59d1e44ba728424c36ba7c2761f0246626d32a2eedf0e6bf427dca97b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439565/apply", "externalId" : "c3c3dc41-7279-47af-956e-a80555235f81", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Redshift, Oracle, NoSQL, Tableau, Quicksight, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Business intelligence", "Data modeling", "ETL pipelines", "Forecasting", "Statistical analysis" ], "hardSkillsList" : [ "Data analysis", "Data warehousing", "ETL development", "Data visualization", "Statistical modeling" ], "softSkillsList" : [ "Intellectual curiosity", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" }, { "name" : "Problem-solving skills" } ], "majorSkills" : "Business Intelligence, Data Engineering, Data Analysis", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Data Analysis" ], "coreResponsibilities" : "Conduct deep dive analyses, Formulate conclusions, Formulate recommendations, Share written recommendations, Share insights, Contribute to design of BI solutions, Contribute to implementation of BI solutions, Contribute to delivery of BI solutions, Simplify reporting, Automate reporting, Simplify audits, Automate audits, Simplify data-driven activities, Automate data-driven activities, Partner with BIEs, Enhance data infrastructure, Enhance data availability, Enhance access to customer insights, Develop best practices in data integrity, Develop best practices in data consistency, Develop best practices in analysis, Develop best practices in validations, Develop best practices in documentation, Learn new technology, Learn new techniques", "teamCollaboration" : "Cross-functional stakeholders", "domainKnowledge" : "Customer experience; Lifecycle marketing; Social commerce", "domainList" : [ "customer-experience", "lifecycle-marketing", "social-commerce" ], "domainSpecificKnowledge" : [ "Customer experience", "Lifecycle marketing", "Social commerce" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL" ], "communicationSkills" : "Share written recommendations; Share insights", "documentationSkills" : "Documentation best practices", "continuousLearning" : "Learn new technology; Learn new techniques", "innovationCreativity" : "Develop original analytical approaches; Develop scalable solutions; Develop impactful recommendations", "problemSolvingSkills" : "Problem-solving skills; Analyze complex business problems", "qualificationsBasic" : "5+ years analyzing data, 5+ years Redshift experience, 5+ years Oracle experience, 5+ years NoSQL experience, Knowledge of SQL, Knowledge of data warehousing concepts, Experience with data visualization, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience using SQL to pull data, Scripting experience (Python), Experience with forecasting, Experience with statistical analysis", "qualificationsPreferred" : "Master's degree in quantitative field, Experience with AWS solutions, Experience in data mining, Experience with ETL, Experience using databases with large-scale datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The EMXO PLX Analytics and Science team drives customer satisfaction and business growth by applying analytics and scientific methodologies to optimize the end-to-end customer experience across lifecycle marketing and social commerce. The team supports continuous improvement of programs, enhances marketing effectiveness, and develops innovative products and measurement solutions that help customers discover, engage, and progress throughout their journey with Amazon. We are seeking a highly analytical and results-oriented individual contributor with a proven ability to work cross-functionally with internal and external stakeholders to solve complex business problems. The ideal candidate has a strong track record of generating actionable insights and translating data into evidence-based recommendations that inform strategic decisions and business priorities. Success in this role requires strong problem-solving skills, attention to detail, and the ability to thrive in a fast-paced, ambiguous environment while effectively managing multiple priorities. The candidate should demonstrate intellectual curiosity, a passion for innovation, and enthusiasm for leveraging new technologies and methodologies to improve decision-making. This role offers the opportunity to develop original analytical approaches, scalable solutions, and impactful recommendations in a dynamic and rapidly evolving business landscape. Key job responsibilities - Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership - Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities - Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems - Simplify and automate reporting, audits, and other data-driven activities - Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights - Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation - Learn new technology and techniques to meaningfully support internal stakeholders and process innovation Basic Qualifications: - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Knowledge of SQL and data warehousing concepts - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with forecasting and statistical analysis Preferred Qualifications: - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer, EMXO PLX - Analytics and Science Team at ADCI. Skills: Business Intelligence, Data Engineering, Data Analysis. Conduct deep dive analyses. Formulate conclusions", "postedDate" : "2026-06-13T16:33:03.597", "createdAt" : "2026-06-13T16:33:03.597", "lastUpdated" : "2026-06-15T05:12:44.776", "ingestTimestamp" : "2026-06-13T16:33:03.597", "mongoId" : "6a2176b974d8ee00a0c1ab0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439565/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data warehousing", "ETL development", "Data visualization", "Statistical modeling", "Intellectual curiosity", "Problem-solving skills", "Business Intelligence", "Data Engineering", "Data Analysis", "Business intelligence", "Data modeling", "ETL pipelines", "Forecasting", "Statistical analysis", "Customer experience", "Lifecycle marketing", "Social commerce", "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 558.7812, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305559f292fd229cf1f0fd", "title" : "Technicien ou Technicienne en analyses biomédicales aux laboratoires de cytogénétique hématologique - 80%", "company" : "Hôpitaux Universitaires de Genève", "industry" : "Hospital And Health Care", "salary" : { "min" : 68000.0, "max" : 85000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Mid-level Technicien ou Technicienne en analyses biomédicales in Geneva, Switzerland, with adjustments for the healthcare industry and part-time employment." }, "location" : "Genève, GE, CH", "locations" : [ "Genève", "GE", "CH" ], "timestamp" : "2026-06-16T07:28:36.908", "fingerprint" : "3b868ea73388a3943f14ed44023ba2d80078b04143418e4812f4db7f4db42991", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/HUG/744000132118550-technicien-ou-technicienne-en-analyses-biomedicales-aux-laboratoires-de-cytogenetique-hematologique-80-", "externalId" : "744000132118550", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Genève", "state" : "Geneva", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.2017559,6.1466014" } ], "locationText" : "Genève, Geneva, Switzerland", "employmentType" : "PART_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Caryotype conventionnel, Hybridation in situ, FISH, SNP array, Extraction ADN, Culture cellulaire, Isolation cellulaire, Préparation chromosomique, Caryotypage, QF PCR", "professionalSkills" : [ "Stratégie analytique", "Assurance qualité" ], "hardSkillsList" : [ "Analyses biomédicales", "Cytogénétique hématologique", "Cytogénétique constitutionnelle", "Maladies onco-hématologiques", "Leucémies", "Myélomes", "Lymphomes", "Diagnostic génétique" ], "softSkillsList" : [ "Rigueur", "Sens des responsabilités", "Autonomie", "Aisance relationnelle" ], "hardSkills" : [ { "name" : "Analyses biomédicales", "level" : "intermediate" }, { "name" : "Cytogénétique hématologique", "level" : "intermediate" }, { "name" : "Cytogénétique constitutionnelle", "level" : "intermediate" }, { "name" : "Maladies onco-hématologiques", "level" : "intermediate" }, { "name" : "Leucémies", "level" : "intermediate" }, { "name" : "Myélomes", "level" : "intermediate" }, { "name" : "Lymphomes", "level" : "intermediate" }, { "name" : "Diagnostic génétique", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Rigueur" }, { "name" : "Sens des responsabilités" }, { "name" : "Autonomie" }, { "name" : "Aisance relationnelle" } ], "majorSkills" : "Cytogénétique hématologique, Analyses biomédicales, FISH, SNP array", "majorSkillsList" : [ "Cytogénétique hématologique", "Analyses biomédicales", "FISH", "SNP array" ], "coreResponsibilities" : "Réaliser les analyses selon les techniques, Adapter la stratégie analytique, Préparer les échantillons, Assurer la prise en charge pré-analytique, Assurer le comptage cellulaire, Assurer la mise en culture, Assurer les récoltes et le suivi, Prioriser en fonction de l’indication clinique, Assurer la séparation cellulaire, Assurer la coloration et mise sur lame, Participer aux activités quotidiennes du laboratoire, Contribuer au développement de nouvelles méthodes, S'engager dans les activités d’assurance qualité, Contribuer au processus d’accréditation", "teamCollaboration" : "Travail en équipe", "domainKnowledge" : "Cytogénétique hématologique; Génétique constitutionnelle; Néoplasies hématologiques; Maladies onco-hématologiques; Norme ISO 15189", "domainList" : [ "cytogenetique-hematologique", "genetique-constitutionnelle", "neoplasies-hematologiques", "maladies-onco-hematologiques", "norme-iso-15189" ], "domainSpecificKnowledge" : [ "Cytogénétique hématologique", "Génétique constitutionnelle", "Néoplasies hématologiques", "Maladies onco-hématologiques", "Norme ISO 15189" ], "toolProficiency" : [ "Microsoft Office", "Word", "Excel" ], "innovationCreativity" : "Développement de nouvelles méthodes", "qualificationsBasic" : "Diplôme de technicien en analyses biomédicales ES (TAB) ou équivalent, 1 année d’expérience spécifique en cytogénétique hématologique, Bonne expérience en cytogénétique hématologique et constitutionnelle, Apte à travailler dans un système qualité ISO 15189", "qualificationsPreferred" : "Expérience en cytogénétique constitutionnelle", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Avec plus de 13'000 collaborateurs représentant 160 métiers, les Hôpitaux Universitaires de Genève sont un établissement de référence au niveau national et international. Pour en savoir plus sur notre institution, prenez quelques minutes pour consulter notre rétrospective 2025 en cliquant [ici](https://www.youtube.com/watch?v=p8kVMJchPR0). Le poste est rattaché au [Département diagnostique](https://www.hug.ch/departement-diagnostique). Composé de neuf services médicaux, il a pour mission de fournir des diagnostics, produits thérapeutiques, actes thérapeutiques, et consultations cliniques spécialisées, de haute qualité médicale, dans les meilleurs délais et à un coût acceptable, pour orienter la prise en charge des patientes et patients et contribuer aux décisions et gestes thérapeutiques. Le Service de médecine génétique est un service clinique, avec des consultations et des prestations de laboratoire, de recherche et d’enseignement. Outre les conseils génétiques aux patients et patientes, précédents ou faisant suite à des analyses de génétique constitutionnelle, le service de médecine génétique travaille en étroite collaboration avec le Service d’Hématologie (Département d’oncologie) afin d’offrir des prestations cytogénomiques dans le cadre des néoplasies hématologiques. L’objectif est d’assurer des prestations diagnostiques, pronostiques et thérapeutiques dans le cadre de ces pathologies Le laboratoire de cytogénétique hématologique est un laboratoire accrédité qui réalise des analyses par des méthodes de caryotype conventionnel, d’hybridation in situ en fluorescence (FISH) et de moléculaire par puce à ADN (SNP array) dans le domaine des maladies onco-hématologiques, telles que les leucémies, les myélomes et les lymphomes. Au sein du laboratoire de cytogénétique hématologique, vous réalisez les analyses selon les techniques en place et celles en développement, dans le respect des procédures du laboratoire. Vous êtes capable d’adapter la stratégie analytique en fonction de l’indication clinique Vous préparez les échantillons après réception et assurez leur prise en charge pré-analytique, comptage cellulaire, la mise en culture, les récoltes et le suivi, la priorisation en fonction de l’indication clinique, la séparation cellulaire, la coloration et mise sur lame, pour les analyses de cytogénétique conventionnelle et moléculaire des néoplasies hématologiques. Vous participez aux activités quotidiennes du laboratoire ainsi qu’au développement de nouvelles méthodes de diagnostic génétique basées sur des approches moléculaires avancées. Polyvalent ou polyvalente, vous disposez d’au moins une année d’expérience spécifique en cytogénétique hématologique. Vous vous engagez dans les activités d’assurance qualité et contribuez activement au processus d’accréditation des laboratoires du service de génétique. Cette énumération de tâches n’est pas à considérer comme étant exhaustive. Les missions peuvent varier selon les besoins spécifiques du service d’affectation. ## Qualifications Vous êtes titulaire d'un diplôme de technicien ou technicienne en analyses biomédicales ES (TAB) ou d'un titre jugé équivalent. Vous possédez une bonne expérience en cytogénétique hématologique et constitutionnelle (prise en charge, extraction ADN, culture cellulaire, isolation cellulaire, préparation chromosomique, caryotypage, FISH, QF PCR) Vous êtes apte à travailler dans le contexte d'un système qualité basé sur la norme ISO 15189. Vous maîtrisez les logiciels courants, Microsoft Office (Word, Excel). Votre rigueur, votre sens des responsabilités et votre autonomie vous permettent d'exécuter les tâches qui vous sont dédiées de manière optimale et efficiente. Votre aisance relationnelle et votre sens de la collégialité vous permettent de travailler en équipe et de vous intégrer facilement. ## Additional Information * Entrée en fonction : 01.09.2026 * Nombre de postes : 1 * Taux d'activité : 80% * Classe de fonction : 13 * Contrat : CDI * Délai de candidature : 29.06.2026 * Demande de renseignements : Dre S. Gimelli, biologiste responsable, tél. 079 553 97 28 Votre dossier de candidature doit comporter une lettre démontrant votre motivation, votre curriculum vitae, les copies des diplômes et attestations requis pour le poste et les 2 derniers certificats de travail. Cette annonce s'adresse indistinctement aux femmes et aux hommes. Souhaitant s’engager dans la lutte contre le chômage, les HUG encouragent les candidatures qui proviennent de l’Office cantonal de l’emploi. Seules les candidatures soumises via la plateforme de recrutement sont prises en compte. Les candidatures papier et mail ne seront pas traitées.", "summaryDescription" : "Technicien ou Technicienne en analyses biomédicales aux laboratoires de cytogénétique hématologique - 80% at Hôpitaux Universitaires de Genève. Skills: Cytogénétique hématologique, Analyses biomédicales, FISH, SNP array. Réaliser les analyses selon les techniques. Adapter la stratégie analytique", "postedDate" : "2026-06-15T06:24:21.000", "createdAt" : "2026-06-15T23:37:08.310", "lastUpdated" : "2026-06-16T07:28:36.908", "ingestTimestamp" : "2026-06-15T23:37:08.310", "mongoId" : "6a305559f292fd229cf1f0fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Analyses biomédicales", "Cytogénétique hématologique", "Cytogénétique constitutionnelle", "Maladies onco-hématologiques", "Leucémies", "Myélomes", "Lymphomes", "Diagnostic génétique", "Rigueur", "Sens des responsabilités", "Autonomie", "Aisance relationnelle", "FISH", "SNP array", "Stratégie analytique", "Assurance qualité", "Génétique constitutionnelle", "Néoplasies hématologiques", "Norme ISO 15189", "Microsoft Office", "Word", "Excel" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 558.3786, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca59174d8ee00a09b7233", "title" : "Senior Specialist, Procurement Systems and Processes", "company" : "Scout Motors", "salary" : { "min" : 110000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC", "Novi", "Michigan", "United States" ], "timestamp" : "2026-06-15T21:51:07.410", "fingerprint" : "742a57b1fbd216a1fd319f71ba7e72dfbced2837a2647cd0a8d3e2c5197c3029", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5163199007", "externalId" : "5163199007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Manage procurement systems, Improve procurement processes, Support procurement operations, Collaborate with cross-functional teams, Manage vendor relationships, Develop and maintain procurement policies, Analyze procurement data, Identify cost-saving opportunities, Ensure compliance with regulations, Support system implementations, Provide training on procurement systems, Manage procurement projects", "teamCollaboration" : "Cross-functional teams; Vendor relationships", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Procurement systems; Procurement processes", "domainList" : [ "procurement-systems", "procurement-processes" ], "domainSpecificKnowledge" : [ "Procurement systems", "Procurement processes" ], "documentationSkills" : "Policy documentation; Process documentation", "problemSolvingSkills" : "Process improvement", "outcomesObjectives" : "Improve procurement efficiency; Reduce procurement costs; Ensure procurement compliance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do The Procurement Systems and Processes Senior Specialist is responsible for the effective use, optimization, and support of Procurement IT systems that underpin procurement operations. This role serves as the main point of contact between the Procurement department and IT teams, ensuring that procurement processes are fully supported by technology and that system users are trained to maximize efficiency. The Senior Specailst plays a crucial role in implementing system improvements, troubleshooting issues, and acting as a liaison during system updates or changes. Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Act as the subject matter expert (SME) for procurement IT systems, including ERP (e.g., SAP), eProcurement tools, and other digital platforms used in procurement processes. System Rollout, Maintenance & Optimization: Lead rollout and launch of Scout’s Procurement systems, working cross-functionally with Scout IT and Global Procurement colleagues. Establish system rollout schedule, budget, and define the necessary resources to meet requirements Ensure the smooth functioning of procurement systems by collaborating with IT to resolve any technical issues. Suggest and implement system improvements or new features to enhance procurement efficiency. Monitor system performance and coordinate upgrades or updates. User Support & Training: Provide first-level support to procurement team members and other system users for system-related issues or queries. Develop and deliver user training programs, documentation, and system and process manuals. Ensure that end-users are proficient in using procurement systems and follow best practices. Data Management & Reporting: Ensure data accuracy and integrity within procurement systems, including vendor information, purchase orders, contracts, and more. Generate and analyze reports from procurement systems to support decision-making and process improvements. Collaborate with procurement management to refine reporting tools and metrics. Process Improvement: Identify opportunities for process improvements within procurement workflows, ensuring alignment with system capabilities. Collaborate with cross-functional teams to streamline procurement operations and increase efficiency. Lead or participate in projects to implement new procurement tools or functionalities. Stakeholder Liaison: Act as a bridge between procurement, IT, and other departments to ensure system requirements are met and issues are communicated effectively. Participate in meetings with IT teams and external system vendors to discuss system needs, updates, and performance. Location & Travel Expectations: This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC or Novi, Michigan. This role requires 5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Travel: Domestic and international travel required, approximately 10 % of the time. Valid driver's license required. Passport required. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: A Bachelor’s degree in in Supply Chain Management, Information Systems, Business Administration, or a related field is preferred 8+ years of experience in a manufacturing or automotive environment, preferably in a Project Management, IT Project Management or similar function Strong knowledge of procurement processes and systems (e.g., ERP systems, eProcurement) and prior experience in a procurement or IT support role Experience with SAP, Ivalua, Oracle, AI Tools is preferred Strong problem-solving skills and ability to troubleshoot system issues Excellent communication skills and ability to train and support end-users Ability to work cross-functionally and manage multiple stakeholders Analytical mindset with experience in generating and interpreting procurement reports Personal Qualities & Abilities High integrity and professionalism Able to effectively collaborate in a team setting with other functions/departments Business and performance driven Ability to adapt in an ambiguous and fact-paced environment Strong planning and analytical skills Strategic thinking & understanding Positive mindset Proactivity and the ability to work across multiple workstreams A passion for creating something new       Ability to find creative solutions to complex problems Ability to communicate effectively across all levels of an organization What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $110,000.00 - $135,000.00 Internal leveling code: IC8 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Senior Specialist, Procurement Systems and Processes at Scout Motors. Manage procurement systems. Improve procurement processes", "postedDate" : "2026-06-14T20:09:33.408", "createdAt" : "2026-06-14T20:09:33.408", "lastUpdated" : "2026-06-15T21:51:07.410", "ingestTimestamp" : "2026-06-14T20:09:33.408", "mongoId" : "6a2ca59174d8ee00a09b7233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Project management", "Procurement systems", "Procurement processes" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 533.1271, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e44c40e2acd1b998bc", "title" : "Sr. Program Manager, NA Standards & Procedures, Workplace Health and Safety - Compliance, Governance and External Affairs", "company" : "Amazon Business EU Sarl", "industry" : "Medical, Health, Safety, Program Management, fulfillment ops", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Program Manager in E-commerce in Luxembourg, adjusted for seniority and company size." }, "location" : "Luxembourg, LUX", "locations" : [ "Luxembourg, LUX" ], "timestamp" : "2026-06-15T03:00:59.389", "fingerprint" : "1d5c4e7444ca51fce806d226ced9e58a1a7b110a933e90ec36de944778fc82be", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413241/apply", "externalId" : "26e07b14-3754-43e1-9d65-5f8a681b4691", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Regulatory compliance" ], "hardSkillsList" : [ "Program management", "Process improvement" ], "hardSkills" : [ { "name" : "Program management", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "majorSkills" : "Standards and Procedures, Program Management", "majorSkillsList" : [ "Standards and Procedures", "Program Management" ], "coreResponsibilities" : "Lead and deliver cross-functional WHS procedures, Develop internal policies and procedures, Review internal policies and procedures, Approve internal policies and procedures, Improve internal policies and procedures, Implement WHS programs, Track WHS programs, Provide execution support to field operations, Drive WHS programs standardization, Drive best practice standardization, Recommend improvements to programs scoping, Recommend improvements to programs building, Recommend improvements to programs testing, Recommend improvements to programs deployment, Partner with key stakeholders", "teamCollaboration" : "Work across teams; Work with business owners; Cross-functional teams; Key stakeholders", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Workplace Health and Safety; High-risk operations regulations", "domainList" : [ "workplace-health-and-safety", "high-risk-operations-regulations" ], "domainSpecificKnowledge" : [ "Workplace Health and Safety", "High-risk operations regulations" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Develop procedures; Review procedures; Approve procedures; Improve procedures", "problemSolvingSkills" : "Solve complex business problems", "specialRequirements" : "Willingness to travel up to 10%", "qualificationsBasic" : "Experience in program or project management, Experience using data and metrics, Experience owning program strategy, Experience end to end delivery, Experience communicating results to senior leadership, Bachelor degree or equivalent qualification", "qualificationsPreferred" : "Master's degree or MBA, Experience leading process improvements", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is seeking an experienced Workplace Health & Safety (WHS) professional to join the Global Standards & Procedures (S&P) team to play a critical role in creating, implementing, and reviewing WHS programs ( procedures and processes) that will serve as the foundation of all Amazon operations Worldwide. A strong background in health and safety management is required, specifically in regulations governing high-risk operations. Experience in varying Amazon operations and business unit processes is needed. The successful candidate will work across teams to gain alignment, develop, and execute a common plan across multiple stakeholders. This requires working effectively with all business owners to ensure the delivery and execution of WHS programs. Cross-team coordination, project management, and excellent communication skills, both verbally and in writing, are essential. To work effectively in the role, the candidate would be required to develop a deep understanding of the organization’s commitment to serving our workforce, and collaborate effectively with cross-functional teams in the organization in order to solve complex business problems and implement fit-for-purpose programs to deliver the highest standards. The successful candidate is also one that has a record of accomplishment delivering success in high performing business organizations, and one who has program management experience. This role is part of the Global WHS S&P team and will support all WHS networks to align with Worldwide and Regional WHS S&P Goals. Key job responsibilities - Lead and deliver medium to large, cross-functional WHS procedures that serve major parts of the business. These may also be global in nature. - Develop, review, approve and improve internal policies and procedures in the respect of the countries WHS legal and Amazon Global Standards requirements. - Implement and track WHS programs and provide execution support to field operations. - Drive WHS programs and best practice standardization at both Regional and Global level. - Recommend improvements to programs scoping, building, testing and deployment across the company. - Partner with key stakeholders such as RME, Procurement, SLeD, Compliance Assurance, Audits, Legal, etc in the development and continued improvement of high-risk operations procedures. Willingness to travel up to 10%. About the team Workplace Health and Safety (WHS) plays a crucial role in keeping our people mentally and physically well at work. Our team works with managers, associates and local governments across our sites, making sure we’re complying with Amazon’s policies and legal regulations, and that our workplaces are safe. There is a range of opportunities within the team, from Health and Safety Technicians to Programme Managers. No matter what your role is, you’ll play a part in developing, implementing and upholding our high safety and wellbeing standards. You could work on a variety of projects alongside colleagues from across the business, ranging from equipment and process inspections to assessing processes, building and equipment design. Basic Qualifications: - Experience in program or project management - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership - A Bachelor degree or equivalent level of qualification in line with the European Qualifications Framework (EQF) Preferred Qualifications: - Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field - Experience leading process improvements Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Program Manager, NA Standards & Procedures, Workplace Health and Safety - Compliance, Governance and External Affairs at Amazon Business EU Sarl. Skills: Standards and Procedures, Program Management. Lead and deliver cross-functional WHS procedures. Develop internal policies and procedures", "postedDate" : "2026-06-13T13:40:10.653", "createdAt" : "2026-06-13T13:40:10.653", "lastUpdated" : "2026-06-15T03:00:59.389", "ingestTimestamp" : "2026-06-13T13:40:10.653", "mongoId" : "69fda4e44c40e2acd1b998bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413241/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Program management", "Process improvement", "Standards and Procedures", "Program Management", "Regulatory compliance", "Workplace Health and Safety", "High-risk operations regulations" ], "skillCount" : 7, "jobCategory" : "healthcare", "dataQualityScore" : 1.0, "_score" : 523.8455, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a210e9074d8ee00a0af83ab", "title" : "Administrative Business Partner, Google Maps", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 115500.0, "max" : 173000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Administrative Business Partner roles in Seattle, adjusted for mid-seniority and Google's industry and company size." }, "location" : "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]", "locations" : [ "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]" ], "timestamp" : "2026-06-16T14:24:42.366", "fingerprint" : "810890f84171ba574ac9cd81e3ae3e7eb41ee6f31eb9c277444d02efdc046bbe", "source" : "google", "language" : "en", "externalId" : "123961586569093830", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "remoteFriendly" : false, "summaryDescription" : "Administrative Business Partner, Google Maps at Google", "postedDate" : "2026-06-16T01:52:10.956", "createdAt" : "2026-06-16T01:52:10.956", "lastUpdated" : "2026-06-16T14:24:42.366", "ingestTimestamp" : "2026-06-16T01:52:10.956", "mongoId" : "6a210e9074d8ee00a0af83ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 173000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 504.88757, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c6cb274d8ee00a091a9e4", "title" : "[쿠팡] 프라이싱 운영 담당자 (Primary Mapping)", "company" : "Coupang", "industry" : "E-Commerce", "salary" : { "min" : 4.5E7, "max" : 6.5E7, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Mid-level Pricing Operations Specialist in the E-commerce industry in Seoul, South Korea, with adjustments for seniority and company size." }, "location" : "Seoul, South Korea", "locations" : [ "Seoul", "South Korea" ], "timestamp" : "2026-06-16T06:58:20.730", "fingerprint" : "613962fe4786071038643e128f642b6277fa9735d7b168f7c0d57b762744411c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coupang.jobs/en/jobs/?gh_jid=8002305", "externalId" : "8002305", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 7, "experienceLevel" : "Mid", "professionalSkills" : [ "Price investigation", "Market price research", "Pricing system logic", "Price verification" ], "majorSkills" : "Pricing operations, Process improvement", "majorSkillsList" : [ "Pricing operations", "Process improvement" ], "coreResponsibilities" : "Increase operational line productivity, Improve admin usability, Increase Business team satisfaction with pricing team, Collect feedback from Business team, Identify pricing system and logic improvements, Propose improvements to related departments, Provide business support through price verification and investigation", "teamCollaboration" : "Cross-departmental coordination; Business team; Pricing team; Related departments", "domainKnowledge" : "Retail pricing; Luxury beauty products", "domainList" : [ "retail-pricing", "luxury-beauty-products" ], "domainSpecificKnowledge" : [ "Retail pricing", "Luxury beauty products" ], "communicationSkills" : "Communicate ideas", "problemSolvingSkills" : "Issue resolution", "outcomesObjectives" : "Provide optimal price from customer perspective; Provide optimal price from customer perspective", "qualificationsBasic" : "Price Admin, BTS system operation experience, Operational capability, Cross-departmental coordination for issue resolution, Communicate ideas based on data and insights, Establish and execute operational plans from customer and business perspectives, Improve efficiency through standardization and process simplification", "qualificationsPreferred" : "E-commerce company pricing experience, English communication ability", "workSiteFlexibility" : "Onsite", "rawDescription" : "회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 \"쿠팡 없이 그동안 어떻게 살았을까?\" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 리테일 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현가능한 한계를 뛰어넘고 있습니다. 고가용성(Always-on) 과 최첨단의 앞선 기술(High-tech), 초연결사회(Hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 Primary Mapping 팀은 쿠팡 Pricing Flow의 시작점이 되는 업무를 담당하고 있습니다. 신규로 고객에게 판매될 리테일 상품의 시장가격을 조사하여 고객관점 최적가를 제공 할 수 있도록 합니다. 상품을 매입하기 전에 시장가의 정보를 BM에게 제공하는 역할을 담당하며, 이를 통해 BM이 매입가를 협의하고 상품을 매입하는데 판단 할 수 있도록 지원합니다. 럭셔리 뷰티상품에 대한 원플로우 프로세스를 운영하며 고객관점에 최적가를 제공 할 수 있도록 합니다. 업무 내용 • 운영 라인 생산성 증대 및 어드민 사용성 개선 • Business팀의 프라이싱팀에 대한 만족도와 이해도를 높이고 관련된 피드백을 수집 • 프라이싱 시스템 및 로직상 개선 사항 도출, 관련부서에 제안 • 다양한 Stakeholder 가 요청하는 가격검수 및 조사를 통한 Business Support 제공 자격 요건 유관 경력 3~7년 Price Admin, BTS 등 시스템 오퍼레이션 경험 및 운영역량 이슈해결을 위한 유관부서 조율 및 커뮤니케이션 역량 데이터와 인사이트를 기반으로 아이디어를 명확하게 커뮤니케이션 할 수 있는 역량 고객 및 비지니스 관점의 운영방안을 수립하고 실행할 수 있는 역량 표준화 및 프로세스 간소화를 통한 효율성을 개선할 수 있는 역량 우대 사항 • 이커머스 기업 프라이싱 담당 경력자 • 영어 커뮤니케이션 가능자 전형 절차 및 안내 사항 전형절차 • 서류전형 - 전화면접 - 대면(화상)면접 – 최종 합격 • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동 될 수 있습니다. • 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고사항 • 본 공고는 모집 완료 시 조기 마감될 수 있습니다. • 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. • 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. • 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. • 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. • 고용형태는 정규직으로 수습기간 12 주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다. 개인정보 처리방침 • 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류반환정책 1. 본 고지는 『채용절차의공정화에관한법률』 제 11 조제 6 항에 따른 것 입니다. 2. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 3. 위 2 항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 4. 당사는 위 2 항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 5. 단, 위 1 항 내지 4 항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.", "summaryDescription" : "[쿠팡] 프라이싱 운영 담당자 (Primary Mapping) at Coupang. Skills: Pricing operations, Process improvement. Increase operational line productivity. Improve admin usability", "postedDate" : "2026-06-14T18:11:07.034", "createdAt" : "2026-06-14T18:11:07.034", "lastUpdated" : "2026-06-16T06:58:20.730", "ingestTimestamp" : "2026-06-14T18:11:07.034", "mongoId" : "6a2c6cb274d8ee00a091a9e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Pricing operations", "Process improvement", "Price investigation", "Market price research", "Pricing system logic", "Price verification", "Retail pricing", "Luxury beauty products" ], "skillCount" : 8, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 500.48978, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2caf1174d8ee00a09d617c", "title" : "Procedures Controller", "company" : "Etihad Airways", "industry" : "Airlines/Aviation", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Procedures Controller in Abu Dhabi, UAE, adjusted for mid-seniority and the logistics industry." }, "location" : "Abu Dhabi, AE", "locations" : [ "Abu Dhabi", "AE" ], "timestamp" : "2026-06-15T08:39:53.480", "fingerprint" : "d597b805b249ab6a23dd2b85cfb9c2ed3102ec995cb260e3172cd61163a9ac52", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EtihadAirways5/744000131664870-procedures-controller-cargo", "externalId" : "744000131664870", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Abu Dhabi", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.4538352,54.3774014" } ], "locationText" : "Abu Dhabi, United Arab Emirates", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "not-applicable", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Documentation management", "Regulatory compliance", "Aircraft handling procedures", "Ground operations training" ], "hardSkills" : [ { "name" : "Documentation management", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Aircraft handling procedures", "level" : "intermediate" }, { "name" : "Ground operations training", "level" : "intermediate" } ], "majorSkills" : "Procedures documentation, Ground operations, Regulatory standards", "majorSkillsList" : [ "Procedures documentation", "Ground operations", "Regulatory standards" ], "coreResponsibilities" : "Create Etihad Cargo Services Manual, Maintain Etihad Cargo Services Manual, Update Etihad Cargo Services Manual, Create Etihad Cargo Bulletins, Maintain Etihad Cargo Bulletins, Update Etihad Cargo Bulletins, Create Process Manual Cargo, Maintain Process Manual Cargo, Update Process Manual Cargo, Create local operating procedures, Maintain local operating procedures, Update local operating procedures, Contribute to Ground Operations Manual, Support development of Ground Operations Manual, Develop aircraft handling procedures, Document aircraft handling procedures, Communicate aircraft handling procedures, Research aircraft handling procedures, Conduct gap analyses, Record gap analyses, Maintain user credentials, Monitor user credentials, Update station information, Communicate station information changes, Support audit preparation, Provide feedback on policies, Provide feedback on procedures, Provide feedback on tasks, Arrange ground operations training, Deliver ground operations training, Support Manager Cargo Procedures", "teamCollaboration" : "External ground operations users; Airport Managers; Applicable airports; Stakeholder departments; Regulatory audits; Corporate audits; Industry audits; Line manager; Third-party service providers", "domainKnowledge" : "Air cargo transportation; UAE GCAA regulations; Etihad internal policies; Aircraft types; Ground handling service providers", "domainList" : [ "air-cargo-transportation", "uae-gcaa-regulations", "etihad-internal-policies", "aircraft-types", "ground-handling-service-providers" ], "domainSpecificKnowledge" : [ "Air cargo transportation", "UAE GCAA regulations", "Etihad internal policies", "Aircraft types", "Ground handling service providers" ], "documentationSkills" : "Documentation maintenance; Procedure documentation", "problemSolvingSkills" : "Gap analysis", "qualificationsBasic" : "Bachelor's degree qualified, 5 years aviation industry experience", "qualificationsPreferred" : "Aviation Management degree, Business Administration degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Synopsis Participate in the creation, maintenance and updating of the Etihad Cargo Services Manual (CSM), Etihad Cargo Bulletins, Process Manual Cargo (PM-CG), local operating procedures and other related documentation as required, in accordance with international regulations and standards governing air cargo transportation, UAE GCAA regulations and Etihad internal policies. Contribute to the Etihad Ground Operations Manual (GOM) and associated ground operations documentation. Accountabilities • Support the development of the Ground Operations Manual (GOM) and related documentation, including all applicable safety and security standards and requirements. • Develop, document and communicate general and applicable local level aircraft handling and servicing procedures, including research of appropriate aircraft handling and servicing procedures in readiness for the introduction of new aircraft types. • Conduct and record gap analyses to support the alignment requirements of Ground Operations documentation with applicable regulations and standards. • Maintain and monitor user credentials for documentation access platforms, for external ground operations users across the global airports network, ensuring all creation/deletion requests are performed promptly and confirmed to the applicable Airport Managers. • Conduct documentation user and access reviews, sharing statistics with Airport Managers and coordinating user creation and deletions as required. • Update and communicate station information changes to applicable airports and stakeholder departments. • Support departmental preparation for regulatory, corporate and industry audits. • Provide appropriate feedback to line manager on progress and any issues relating to policies, procedures and tasks associated with station start-ups and ground handling service provider changes. • Arrange and deliver ground operations training to Etihad and third-party service provider personnel as operationally required and according to individual training authorisation. • Support Manager Cargo Procedures with delegated cargo operations documentation-related tasks, as and when required. ## Qualifications Education & Experience • Bachelor’s degree qualified, preferably in Aviation Management, Business Administration • Previous aviation industry experience within the airline operations or ground operations preferably min 5 years experience ## Additional Information Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight. To learn more visit [www.etihad.com](http://www.etihad.com) Recruitment Fraud Alert Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.", "summaryDescription" : "Procedures Controller at Etihad Airways. Skills: Procedures documentation, Ground operations, Regulatory standards. Create Etihad Cargo Services Manual. Maintain Etihad Cargo Services Manual", "postedDate" : "2026-06-11T12:51:00.000", "createdAt" : "2026-06-14T07:22:56.420", "lastUpdated" : "2026-06-15T08:39:53.480", "ingestTimestamp" : "2026-06-14T07:22:56.420", "mongoId" : "6a2caf1174d8ee00a09d617c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Documentation management", "Regulatory compliance", "Aircraft handling procedures", "Ground operations training", "Procedures documentation", "Ground operations", "Regulatory standards", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Air cargo transportation", "UAE GCAA regulations", "Etihad internal policies", "Aircraft types", "Ground handling service providers" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 495.57175, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c771b74d8ee00a093bc14", "title" : "Staff Research Scientist, Localization and Mapping", "company" : "Venti Technologies", "industry" : "Engineering", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on market data for a Staff Research Scientist in Singapore, adjusted for executive seniority and the technology industry." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-16T00:57:53.090", "fingerprint" : "914c17a20198034fcfecc3905a9374ec9d3a3d4238321dc255a8b416da1a0e91", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/goventi/028e492b-88d8-4912-a2aa-516b851d4e02/application", "externalId" : "028e492b-88d8-4912-a2aa-516b851d4e02", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, GPU programming, ROS, ROS2, SLAM, Lidar, Camera, GNSS-INS, Kalman Filters, Machine learning", "professionalSkills" : [ "System architecture", "Technical roadmap", "Project prioritization", "Engineering execution" ], "hardSkillsList" : [ "Sensor fusion", "State estimation", "Odometry methods", "Sensor calibration", "Regression testing", "Release validation" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Sensor fusion", "level" : "intermediate" }, { "name" : "State estimation", "level" : "intermediate" }, { "name" : "Odometry methods", "level" : "intermediate" }, { "name" : "Sensor calibration", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Release validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Localization, Mapping, Robotics, Autonomous vehicles", "majorSkillsList" : [ "Localization", "Mapping", "Robotics", "Autonomous vehicles" ], "coreResponsibilities" : "Lead research roadmap, Develop essential tools, Generate scalable maps, Scale simulation regression tests, Develop live autonomy stack modules, Lead design and development of localization and mapping, Architect scalable and automated HD map generation, Architect automated map maintenance, Architect automated map regression, Architect automated map deployment pipelines, Develop robust multi-sensor localization solutions, Improve localization accuracy, Improve localization reliability, Define software architecture, Define performance metrics, Define testing strategies, Define deployment standards, Integrate localization and maps, Drive technical roadmap, Drive project prioritization, Drive engineering execution, Support field testing, Support debugging, Support deployment activities", "teamCollaboration" : "Multi-disciplinary autonomy teams; Perception teams; Planning teams; Controls teams; Testing/operations teams; Perception, planning, systems teams; Software infrastructure teams; Data software & services teams", "projectManagementSkills" : [ "Project prioritization" ], "domainKnowledge" : "Robotics; Autonomous vehicles; Localization systems; Mapping systems; Industrial vehicle platforms; Logistics yards; GPS-denied environments; Dynamic industrial environments; GPS interference; HD mapping systems; Real outdoor robotics; Safety critical software; Driverless trucks", "domainList" : [ "robotics", "autonomous-vehicles", "localization-systems", "mapping-systems", "industrial-vehicle-platforms", "logistics-yards", "gps-denied-environments", "dynamic-industrial-environments", "gps-interference", "hd-mapping-systems", "real-outdoor-robotics", "safety-critical-software", "driverless-trucks" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomous vehicles", "Localization systems", "Mapping systems", "Industrial vehicle platforms", "Logistics yards", "GPS-denied environments", "Dynamic industrial environments", "GPS interference", "HD mapping systems", "Real outdoor robotics", "Safety critical software", "Driverless trucks" ], "toolProficiency" : [ "ROS", "ROS2" ], "communicationSkills" : "Technical direction", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "Ph. D. or Master’s degree, 7+ years of experience, Proficiency in C++, GPU programming experience, Real-time robotic systems experience, Familiar with ROS/ROS2, Deep understanding of SLAM algorithms, Sensor fusion including Lidar, Camera, GNSS-INS, State estimation including Kalman Filters, Lidar and visual odometry methods, HD mapping systems, Tool development and data pipelines, Machine learning approaches for localization, Map features/semantics, Sensor calibration, Degradations/maintenance in real outdoor robotics, Safety critical software development processes, Simulation regression testing, Fleet-scale release validation, Mentoring junior/mid-level engineers, Guiding technical direction, Contributing to organizational growth, Excellent communication skills", "qualificationsPreferred" : "ROS/ROS2 familiarity", "remoteFriendly" : false, "rawDescription" : "A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. We are seeking a Staff Research Scientist, Localization and Mapping to serve as a principal technical authority for our multi-disciplinary autonomy teams. In this individual contributor (IC) role, you will champion the research roadmap, essential tool developments, scalable map generation, scaling of simulation regression tests, and live autonomy stack core modules for safety-critical applications on driverless trucks in complex logistics yards. Our autonomy solutions must overcome environmental challenges not limited to high vibration/shock (industrial vehicle platforms/loads), high environmental change (shipping container stock variance), high occlusions from large actors/structures, all-weather 24-hour everyday operational demands, and high-precision alignments for parking or interfacing with specialized logistics equipment. This role combines cutting-edge research with deep system architecture ownership. You will stay abreast of current research trends and mentor the team to translate advanced robotics algorithms into robust, real-world systems. You will work closely with perception, planning, controls, and testing/operations teams to deliver production-grade autonomy solutions for real-world deployments. Role responsibilities - Lead the design and development of localization and mapping systems for autonomous logistics vehicles - Architect scalable and automated HD map generation, maintenance, regression and deployment pipelines - Develop robust multi-sensor localization solutions using LiDAR, GNSS, IMU, cameras, and wheel odometry - Improve localization accuracy and reliability in GPS-denied or dynamic industrial environments with GPS interference. - Define software architecture, performance metrics, testing strategies, and deployment standards - Collaborate with perception, planning, systems, software infrastructure, and data software & services teams to integrate localization and maps into the autonomy stack - Drive technical roadmap, project prioritization, and engineering execution - Support field testing, debugging, and deployment activities Required experience - Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on localization and/or mapping for autonomous systems. - 7+ years of experience in robotics, autonomous vehicles, or localization/mapping systems - Strong proficiency in C++, GPU programming, and experience with real-time robotic systems (preferably familiar with ROS/ROS2) - Deep understanding of: - SLAM algorithms - Sensor fusion including Lidar, Camera, GNSS-INS - State estimation including Kalman Filters - Lidar and visual odometry methods - HD mapping systems, including tool development and data pipelines - Machine learning approaches for localization and map features/semantics - Sensor calibration and degradations/maintenance in real outdoor robotics deployments - Safety critical software development processes including simulation regression testing and fleet-scale release validation - Influence & Mentorship: Demonstrated experience mentoring junior/mid-level engineers, guiding technical direction, and contributing to organizational growth through technical excellence. - Collaboration & Communication: Excellent communication skills for working across multidisciplinary teams and influencing technical direction.", "summaryDescription" : "Staff Research Scientist, Localization and Mapping at Venti Technologies. Skills: Localization, Mapping, Robotics, Autonomous vehicles. Lead research roadmap. Develop essential tools", "createdAt" : "2026-06-14T21:40:12.222", "lastUpdated" : "2026-06-16T00:57:53.090", "ingestTimestamp" : "2026-06-14T21:40:12.222", "mongoId" : "6a2c771b74d8ee00a093bc14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sensor fusion", "State estimation", "Odometry methods", "Sensor calibration", "Regression testing", "Release validation", "Mentorship", "Localization", "Mapping", "Robotics", "Autonomous vehicles", "System architecture", "Technical roadmap", "Project prioritization", "Engineering execution", "Localization systems", "Mapping systems", "Industrial vehicle platforms", "Logistics yards", "GPS-denied environments", "Dynamic industrial environments", "GPS interference", "HD mapping systems", "Real outdoor robotics", "Safety critical software", "Driverless trucks", "ROS", "ROS2" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 494.53842, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6960826f0937eae70e9c8c36", "title" : "Medical Assistant II- Special Procedures", "company" : "Atrius Health", "industry" : "Healthcare", "salary" : { "min" : 21.0, "max" : 31.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Endoscopy Suite", "locations" : [ "Endoscopy Suite", "630a-330p variable start times", "Medical Assistants/Medical Secretaries, Individual Contributor, Individual Contributor" ], "certifications" : [ "Medical Assistant Certification", "Basic Life Support (BLS)", "Advanced Cardiac Life Support (ACLS)" ], "timestamp" : "2026-06-15T09:30:19.204", "fingerprint" : "ca5e98c3b965c865a68bd3aff15f3d844ce441f88c19f75172dc50a94ae4be16", "source" : "taleo", "language" : "en", "applyUrl" : "https://atriushealth.taleo.net/careersection/ex/jobdetail.ftl?job=355048", "externalId" : "355048", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Weymouth", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2212188,-70.9391625" } ], "locationText" : "Weymouth, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 1, "technicalSkills" : "Word processing, Spreadsheet programs, Electronic medical record", "professionalSkills" : [ "Clinical support", "Clerical support", "Operative procedures", "Surgical procedures", "Sterile environment maintenance", "Specialized equipment usage", "Lab specimen handling" ], "hardSkillsList" : [ "Sharps handling", "Biohazard materials handling", "Sterile field setup", "Autoclave operation" ], "hardSkills" : [ { "name" : "Sharps handling", "level" : "intermediate" }, { "name" : "Biohazard materials handling", "level" : "intermediate" }, { "name" : "Sterile field setup", "level" : "intermediate" }, { "name" : "Autoclave operation", "level" : "intermediate" } ], "majorSkills" : "Clinical support, Surgical assistance, Sterile technique", "majorSkillsList" : [ "Clinical support", "Surgical assistance", "Sterile technique" ], "coreResponsibilities" : "Provide direct clinical support, Provide clerical support, Support medical specialty clinicians, Support surgical specialty clinicians, Support procedural based departments, Assist physicians, Assist advanced practice clinicians, Assist in office visits, Assist in operative procedures, Assist in surgical procedures, Prepare rooms, Turnover rooms, Maintain sterile environment, Assist with minor operative procedures, Assist with minor surgical procedures, Operate specialized equipment, Support pre procedural office visits, Support post procedural office visits, Perform advanced support tasks", "teamCollaboration" : "Collaborate with clinicians; Collaborate with hospital partners; Collaborate with community specialists; Collaborate with skilled nursing facilities", "domainKnowledge" : "Medical assisting; Surgical procedures; Sterile environment; Lab specimens; Fine Needle Aspirations", "domainList" : [ "medical-assisting", "surgical-procedures", "sterile-environment", "lab-specimens", "fine-needle-aspirations" ], "domainSpecificKnowledge" : [ "Medical assisting", "Surgical procedures", "Sterile environment", "Lab specimens", "Fine Needle Aspirations" ], "toolProficiency" : [ "EMR" ], "communicationSkills" : "Professional communication", "continuousLearning" : "Paid professional development", "qualificationsBasic" : "High School diploma or equivalency, Medical Assistant Certification required, 3 years in clinical setting, 1 year as Medical Assistant, Computer experience required, EMR experience or aptitude", "qualificationsPreferred" : "Associate's degree in medical assisting, Graduate of medical assistant certification program, Bachelor's or other non-clinical degree, American Heart Association Basic Life Support (BLS), Advanced Cardiac Life Support (ACLS)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Atrius Health, an innovative healthcare leader, delivers an effective system of connected care for more than 690,000 adult and pediatric patients at 30 medical practice locations in eastern Massachusetts. Atrius Health’s 645 physicians and primary care providers, along with 420 additional clinicians, work in close collaboration with hospital partners, community specialists and skilled nursing facilities. Our vision is to transform care to improve lives. Atrius Health provides high-quality, patient-centered, coordinated, cost effective care to every patient we serve. By establishing a solid foundation of shared decision making, understanding and trust with each of its patients, Atrius Health enhances their health and enriches their lives. Atrius Health is part of Optum, a health services company focused on building the leading value-based care system in the country. SUMMARY Under general supervision provides direct clinical and clerical support to medical and surgical specialty clinicians (and other procedural based departments). Provides medical assistant support to physicians or advanced practice clinicians for both office visits as well as in operative and surgical procedures. Performs tasks such as assisting in room preparation and turnover, maintenance of a sterile environment, and assisting the clinicians with minor operative and surgical procedures. May operate specialized equipment. Also performs general medical assistant support for pre and post procedural office visits including advanced level support tasks. EDUCATION/LICENSES/CERTIFICATIONS High School diploma or equivalency certificate (e.g. GED, HiSET, TASC Test) from an accredited institution or governmental unit or a Medical Assistant Certification required. Associate's degree in medical assisting or graduate of medical assistant certification program preferred. A bachelor’s or other non-clinical degree combined with an interest in healthcare and excellent problem-solving, multi-tasking, technology-literate skill sets can at times be substituted for medical assistant certification or work experience. American Heart Association Basic Life Support (BLS) strongly preferred. Advanced Cardiac Life Support (ACLS) may be required based on specialty. EXPERIENCE Experience typically acquired through three years in a clinical setting with at least one as a Medical Assistant. Computer experience required with the ability to use word processing and spreadsheet programs. Electronic medical record (EMR) experience and/or aptitude to master the EMR based on other technology experience required. SKILLS Able to communicate in a professional and appropriate manner. Demonstrates high level of skill in cleaning, maintenance and usage of specialized equipment relevant to the department and position. Knowledge of sharps and biohazard materials. Proficient in setting up a sterile field. Understands how to assist with department specific procedures such as FNA (Fine Needle Aspirations). Able to work with lab specimens. Knowledge of operating autoclave asserts and what to do if the assert fails. Exceptional patient service awareness and skills. Ability to provide a high level of customer service a must. The hourly range for this role is $21.78 to $31.11 per hour based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. Atrius Health complies with all minimum wage laws as applicable. In addition to your salary, Atrius Health offers benefits such as, a comprehensive benefits package, incentive, and recognition programs. No matter where or when you begin a career with Atrius Health, you’ll find a far- reaching choice of benefits and incentives. Atrius Health is committed to a policy of non-discrimination and equal employment opportunity. All patients, employees, applicants, and other constituents of Atrius Health will be treated with respect and dignity regardless of race, national origin, gender, age, religion, disability, veteran status, marital/domestic partner status, parental status, sexual orientation and gender identity and/or expression, or other dimensions of diversity. Excellent benefits Include: · Up to 8% company retirement contribution, · Generous Paid Time Off · 10 paid holidays, · Paid professional development, · Generous health and welfare benefit package Endoscopy Suite Weymouth MA - Atrius Health Libbey 1", "summaryDescription" : "Medical Assistant II- Special Procedures at Atrius Health. Skills: Clinical support, Surgical assistance, Sterile technique. Provide direct clinical support. Provide clerical support", "createdAt" : "2026-06-14T08:18:59.665", "lastUpdated" : "2026-06-15T09:30:19.204", "ingestTimestamp" : "2026-06-14T08:18:59.665", "mongoId" : "6960826f0937eae70e9c8c36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 43680, "salaryAnnualMax" : 64480, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Sharps handling", "Biohazard materials handling", "Sterile field setup", "Autoclave operation", "Clinical support", "Surgical assistance", "Sterile technique", "Clerical support", "Operative procedures", "Surgical procedures", "Sterile environment maintenance", "Specialized equipment usage", "Lab specimen handling", "Medical assisting", "Sterile environment", "Lab specimens", "Fine Needle Aspirations", "Medical Assistant Certification", "Basic Life Support (BLS)", "Advanced Cardiac Life Support (ACLS)", "EMR" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 481.85397, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e420f8b1b0376634c4ba", "title" : "Deep Learning Architect, Generative AI Innovation Center", "company" : "Amazon Web Services", "industry" : "Data Science, Professional Services, Cloud Computing", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Deep Learning Architect in Singapore, adjusted for the technology industry and a large company size." }, "location" : "SGP", "locations" : [ "SGP" ], "timestamp" : "2026-06-15T05:35:58.720", "fingerprint" : "d87c3a711fb1169a2e7b2b22ed73dc09398194adce5842ce5e80bc59c6bbcfb2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078233/apply", "externalId" : "6192a28b-8b18-4d68-9389-f86d8364f7c1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "technicalSkills" : "Machine Learning, Generative AI, Python, AWS, Amazon Bedrock, Amazon SageMaker", "professionalSkills" : [ "System design", "Solution architecture" ], "hardSkillsList" : [ "Deep learning", "Statistics" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Deep Learning", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Collaborate with AI/ML scientists and architects, Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers directly, Understand customer business problems, Aid customers in implementation, Brief customers on adoption patterns, Guide customers on paths to production, Create best practice recommendations, Deliver best practice recommendations, Create tutorials, Deliver tutorials, Create blog posts, Deliver blog posts, Create sample code, Deliver sample code, Create presentations, Deliver presentations, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Optimize risk, Optimize profitability, Optimize customer experience, Design solutions, Evangelize solutions, Implement solutions, Fine tune solutions", "teamCollaboration" : "AI/ML scientists; Architects; Customers; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Cloud computing", "domainList" : [ "generative-ai", "machine-learning", "cloud-computing" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Cloud computing" ], "communicationSkills" : "Executive presentations; Technical presentations", "documentationSkills" : "Technical writing", "innovationCreativity" : "Innovate; Prototype development", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Solve real world problems; Create transformational business opportunities; Build bespoke solutions; Launch solutions at scale", "qualificationsBasic" : "Bachelor of Science degree in Computer Science, 3+ years of experience in designing, building, and/or operating cloud solutions, 2+ year experience hosting and deploying ML solutions, 2+ years of hands on experience with Python, 2+ years of technical client engagement experience", "qualificationsPreferred" : "Masters or PhD degree in computer science, working knowledge of deep learning, machine learning, generative AI, and statistics, Experience building generative AI applications on AWS, Experience communicating across technical and non-technical audiences, Experience building cloud solutions with AWS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of- concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems. As a Deep Learning Architect, you will - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges - Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)  3+ years of experience in designing, building, and/or operating cloud solutions in a production environment - 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) - 2+ years of hands on experience with Python to build, train, and evaluate models - 2+ years of technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, or related technical, math, or scientific field - Strong working knowledge of deep learning, machine learning, generative AI, and statistics - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker  Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Experience building cloud solutions with AWS Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services. Skills: Generative AI, Machine Learning, Deep Learning. Collaborate with AI/ML scientists and architects. Research generative AI solutions", "postedDate" : "2026-06-13T15:21:10.467", "createdAt" : "2026-06-13T15:21:10.467", "lastUpdated" : "2026-06-15T05:35:58.720", "ingestTimestamp" : "2026-06-13T15:21:10.467", "mongoId" : "68c2e420f8b1b0376634c4ba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078233/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Deep learning", "Statistics", "Generative AI", "Machine Learning", "Deep Learning", "System design", "Solution architecture", "Cloud computing" ], "skillCount" : 8, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 481.4658, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5e4274d8ee00a08e28c5", "title" : "Mapping Vehicle Operator", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 20000.0, "max" : 28000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Entry-level Mapping Vehicle Operators in Tallinn, Estonia, adjusted for the technology industry and company size." }, "location" : "Tallinn, Estonia", "locations" : [ "Tallinn", "Estonia" ], "timestamp" : "2026-06-15T00:49:12.604", "fingerprint" : "ba077dcba1d4e2a42ea4c7982b73543339216d0e87fb25307b6175c8ae75b399", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8578334002?gh_jid=8578334002", "externalId" : "8578334002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tallinn", "country" : "Estonia", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "59.4372420,24.7572693" } ], "locationText" : "Tallinn, Estonia", "majorSkills" : "Driving, Monitoring, Logging", "majorSkillsList" : [ "Driving", "Monitoring", "Logging" ], "toolProficiency" : [ "Tablet", "Mobile app" ], "continuousLearning" : "Hands-on training", "qualificationsBasic" : "Valid B-category driving licence, Clean driving record, Fluent in English", "qualificationsPreferred" : "Background as driving instructor, Background as professional driver, Background as fleet operator, Experience teaching driving, Experience in safety-critical driving", "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Mapping Vehicle Operator to support the early stage of our new project. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role In this role, you'll drive assigned routes across the city, monitor onboard equipment, and log observations using a mobile app. Main tasks and responsibilities: Driving assigned routes systematically and accurately across different city areas Monitoring the vehicle and onboard equipment, logging any anomalies in real time Using a tablet or mobile app to record route completion and field observations Performing pre- and post-shift vehicle readiness checks (charge level, cleanliness, equipment status) Reporting safety or operational concerns to the project team promptly About you: You have a valid B-category driving licence and a clean, safety-first driving record You have a background as a driving instructor, professional driver, or fleet operator - candidates with experience teaching driving or working in safety-critical driving environments are strongly preferred You have strong attention to detail and ability to follow multi-step instructions without supervision You are reliable and self-sufficient in the field You are fluent in English for daily reporting and team communication Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! Why you’ll love it here: Start with hands-on training to gain the skills and knowledge you need to excel in your role. Receive monthly Bolt credit to test our app and use it for scooter and ride-hailing trips. Connect with your team at various events to get to know your colleagues. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Mapping Vehicle Operator at Bolt Technology. Skills: Driving, Monitoring, Logging", "postedDate" : "2026-06-12T21:42:20.874", "createdAt" : "2026-06-12T21:42:20.874", "lastUpdated" : "2026-06-15T00:49:12.604", "ingestTimestamp" : "2026-06-12T21:42:20.874", "mongoId" : "6a2c5e4274d8ee00a08e28c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Driving", "Monitoring", "Logging", "Tablet", "Mobile app" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "fleet-operations-&-warehouse", "dataQualityScore" : 0.7777778, "_score" : 480.33237, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c90a274d8ee00a0980db9", "title" : "MAP Summer Associate (Summer 2027)", "company" : "Morgan & Morgan", "industry" : "Legal", "salary" : { "min" : 1900.0, "max" : 2800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T06:35:56.111", "fingerprint" : "457382df0f4c467c65c96577ccee05840f104674531c9ee19a25f693342a92bc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/morganmorgansummer/jobs/5708050004", "externalId" : "5708050004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Law School", "professionalSkills" : [ "Trial advocacy", "Client service", "Professional development", "Professional networking" ], "hardSkillsList" : [ "Deposition skills", "Motion practice", "Expert discovery", "Mediation skills", "Trial prep" ], "hardSkills" : [ { "name" : "Deposition skills", "level" : "intermediate" }, { "name" : "Motion practice", "level" : "intermediate" }, { "name" : "Expert discovery", "level" : "intermediate" }, { "name" : "Mediation skills", "level" : "intermediate" }, { "name" : "Trial prep", "level" : "intermediate" } ], "majorSkills" : "Trial advocacy, Litigation training, Client service", "majorSkillsList" : [ "Trial advocacy", "Litigation training", "Client service" ], "coreResponsibilities" : "Learn from renowned trial attorneys, Receive mentorship in best practices, Provide effective service for clients, Prepare for trial, Develop data-informed solutions", "teamCollaboration" : "Dynamic team environment", "domainKnowledge" : "Trial advocacy; Civil jury trials; Legal space", "domainList" : [ "trial-advocacy", "civil-jury-trials", "legal-space" ], "domainSpecificKnowledge" : [ "Trial advocacy", "Civil jury trials", "Legal space" ], "communicationSkills" : "Excellent communication skills", "continuousLearning" : "Weekly litigation training courses; Attendance at jury trial; Participation in civil jury trials; Attendance at trial; Access to office hours", "outcomesObjectives" : "Receive offers of full-time employment", "qualificationsBasic" : "Currently enrolled at top law school, Anticipated graduation year of 2028, Academic credentials, Excellent communication skills, Commitment to client service, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Demonstrated interest in trial advocacy", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary Morgan & Morgan, the nation’s largest plaintiffs’ law firm, is accepting applicants for our summer Trial Associate Program (TAP). The TAP program is designed to fast-track a select number of the nation’s most talented aspiring trial lawyers and provide them the training, resources, and opportunities to maximize their potential. The components of the TAP provide unique opportunities for advancement in trial advocacy in both the short and long-term, a tailored trajectory for financial mobility, and carefully crafted mentorship and professional development from the nation’s best trial lawyers. Responsibilities Throughout your summer at Morgan & Morgan you will learn from renowned trial attorneys in a dynamic team environment. Associates will be mentored in best practices, how to provide effective service for our clients, how to prepare for trial, and the data-informed solutions the firm is developing to revolutionize the legal space for the betterment of our clients. This is an opportunity to solidify your future as a trial attorney through hands-on experience, learning and development courses, and valuable professional networking. Based on your individual achievements, those who successfully complete the program should expect to receive offers of full-time employment. Professional Development If you are selected to participate in the TAP program, you will have the following opportunities: 1:1 formal mentorship with a Firm Partner. Weekly litigation training courses in topics including: depositions, motion practice, expert discovery, mediation, and trial prep. Attendance at a jury trial during the 2L summer. Participation in at least 2 civil jury trials within first full year of practice. Attendance at trial with Keith Mitnik or another Senior Trial Partner within the first full year of practice. Access to office hours with Keith Mitnik and other premier national Trial Counsel. Qualifications Candidates must be currently enrolled at a top law school with an anticipated graduation year of 2028. Candidates must have strong academic credentials, excellent communication skills, and a commitment to providing the highest quality client service. Demonstrated interest in trial advocacy is preferred. Candidates should be self-starters who possess the ability to work independently and as part of a team. Compensation $1,900-$2,800 weekly subject to geographic market About Morgan & Morgan With nearly 1200 lawyers licensed in all 50 states, Morgan & Morgan has recovered more than $25 billion for over 700,000 clients. Our firm has taken on some of the biggest corporations across the globe, including BP, Facebook, Google, Monsanto, Norfolk Southern and Eli Lilly, and recovered billions in litigation. We handle more civil jury trials than any other plaintiffs’ law firm and have had numerous precedent-setting results, including recent verdicts of $641M and $100M in single plaintiff cases. Learn more at https://www.forthepeople.com/. #LI-GM1", "summaryDescription" : "MAP Summer Associate (Summer 2027) at Morgan & Morgan. Skills: Trial advocacy, Litigation training, Client service. Learn from renowned trial attorneys. Receive mentorship in best practices", "postedDate" : "2026-06-14T19:11:50.517", "createdAt" : "2026-06-14T19:11:50.517", "lastUpdated" : "2026-06-16T06:35:56.111", "ingestTimestamp" : "2026-06-14T19:11:50.517", "mongoId" : "6a2c90a274d8ee00a0980db9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98800, "salaryAnnualMax" : 145600, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Deposition skills", "Motion practice", "Expert discovery", "Mediation skills", "Trial prep", "Trial advocacy", "Litigation training", "Client service", "Professional development", "Professional networking", "Civil jury trials", "Legal space" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 478.52338, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5e0974d8ee00a08e08c6", "title" : "Materials & Processes Engineer", "company" : "Supernal", "industry" : "Advanced Air Mobility (AAM)", "salary" : { "min" : 108000.0, "max" : 132000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-15T00:49:08.947", "fingerprint" : "b08e8ea7eacb74a24dfea4a89090112e97b86b06d53e21a1be083279a0b05da5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/supernal/jobs/7770672003", "externalId" : "7770672003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "technicalSkills" : "Metallics, Composites, Structural bonding, CATIA, SolidWorks, NX, Minitab, JMP, MS Office Suite, Word, Excel, Project, Visio", "professionalSkills" : [ "Materials specifications", "Process specifications", "Design validation", "Supplier selection", "Supplier development", "Supplier qualifications", "Supplier evaluations" ], "hardSkillsList" : [ "Materials characterization", "Allowable generation", "Test plan execution", "Data analysis" ], "softSkillsList" : [ "Creative thinking" ], "hardSkills" : [ { "name" : "Materials characterization", "level" : "intermediate" }, { "name" : "Allowable generation", "level" : "intermediate" }, { "name" : "Test plan execution", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative thinking" } ], "majorSkills" : "Materials, Processes, Structural bonding", "majorSkillsList" : [ "Materials", "Processes", "Structural bonding" ], "coreResponsibilities" : "Apply technical knowledge, Support components across eVTOL vehicle, Build conventional materials solutions, Build novel materials solutions, Implement conventional process solutions, Implement novel process solutions, Ensure delivered hardware meets requirements, Support certification of AAM vehicles, Support production of AAM vehicles, Collaborate with Engineering verticals, Collaborate with Supply Chain teams, Support creation of material specifications, Support creation of process specifications, Ensure manufacturing quality, Evaluate materials across vehicle, Satisfy design requirements, Develop test plans, Execute test plans, Method development, Materials characterization, Allowable generation, Design validation, Author test reports, Author other summaries, Communicate information to engineering team, Participate in design reviews, Provide M&P input on strategy, Support supplier selection, Support supplier development, Support supplier qualifications, Support ongoing supplier evaluations, Support manufacture of hardware, Participate in industry working groups, Participate in standards bodies, Participate in technical conferences, Maintain awareness of technology developments, Maintain awareness of regulatory trends", "teamCollaboration" : "Engineering verticals; Supply Chain teams; Broader engineering team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Advanced Air Mobility (AAM); Metallics; Composites; Structural bonding; CMH-17; SAE; ASTM; First Principles approach", "domainList" : [ "advanced-air-mobility-aam", "metallics", "composites", "structural-bonding", "cmh-17", "sae", "astm", "first-principles-approach" ], "domainSpecificKnowledge" : [ "Advanced Air Mobility (AAM)", "Metallics", "Composites", "Structural bonding", "CMH-17", "SAE", "ASTM", "First Principles approach" ], "toolProficiency" : [ "CMH-17", "SAE", "ASTM", "Minitab", "JMP", "CATIA", "SolidWorks", "NX", "MS Office Suite" ], "communicationSkills" : "Communication", "documentationSkills" : "Documentation", "innovationCreativity" : "Creative thinking", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Up to 10% travel", "qualificationsBasic" : "Bachelor's degree in STEM, Minimum three (3) years of related experience, Experience working with technicians, Experience developing a Design of Experiments plan, Experience running and analyzing data from analytical materials characterization equipment, Technical knowledge in metallics, Technical knowledge in adhesives, Technical knowledge in composites, Technical knowledge in structural bonding, Familiarity with 3D CAD software, Familiarity with statistical software, Proficiency in writing R&D work instructions, Documentation of R&D work, Proficiency MS Office Suite tools", "qualificationsPreferred" : "Hands on experience with composite layup, Hands on experience with bonding", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Rise above. Are you ready to take human possibility to a new dimension with us? Supernal is an Advanced Air Mobility (AAM) company that’s developing an electric vertical take-off and landing (eVTOL) vehicle and the ground-to-air ecosystem to support the emerging industry. By creating a sustainable, integrated, and human-centered ecosystem, we are committed to taking a thoughtful and responsible approach to entering the AAM market with a product that meets the high level of safety and reliability in today’s air transportation system. The future of mobility starts with people. We believe in creative thinking and collaboration to help build a better mobility experience for everyone, improving people’s ability to move – whether for work or play. Join our dynamic team as we strive to be a part of something greater where potential powers tomorrow! Supernal provides an inviting open-space workplace designed to foster collaboration, which aligns with one of our core values. This position is required to work on-site 5 days a week. What we do: The Materials & Process Engineer applies their technical knowledge and expertise in metallics, composites and structural bonding to support components across our eVTOL vehicle. This role works toward building and implementing conventional and novel materials and process solutions while working with our partners to ensure delivered hardware meets requirements and leads to the certification and production of new AAM vehicles. This position collaborates with all Engineering verticals & Supply Chain teams during the design process. What you can do: Support creation of material specifications and process specifications that support manufacturing & ensure quality Evaluate materials across the vehicle to satisfy design requirements Develop and execute test plans for metallics, composites and structural bonding, method development, materials characterization, allowable generation, and design validation Author test reports and other summaries to communicate information to the broader engineering team Participate in design reviews for hardware components/assemblies Provide M&P input on strategy, supplier selection, development, qualifications, and ongoing evaluations Support the manufacture of hardware both in-house and at suppliers Participate in industry working groups, standards bodies, and relevant technical conferences and symposia to maintain awareness of technology developments & regulatory trends across academia and industry May require up to 10% of domestic and international travel Other duties as assigned What you can contribute: Bachelor's degree in STEM or related field required Minimum three (3) years of related experience (an equivalent combination of education and experience may be considered) Experience working with technicians Experience developing a Design of Experiments plan Experience running and analyzing data from analytical materials characterization equipment Technical knowledge in one or more of the areas of: metals, adhesives, composites, structural bonding Hands on experience with composite layup and bonding preferred Familiarity with 3D CAD software (CATIA, SolidWorks, NX, or similar) Familiarity with statistical software, including Minitab, JMP, or similar Knowledge of CMH-17, SAE, ASTM, and other standard bodies Proficiency in writing R&D work instructions and documentation of R&D work Proficiency MS Office Suite tools such as Word, Excel, Project & Visio Understanding of a “First Principles” approach to problem solving Proactive and efficient delivery of communication and follow-up Base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a bonus as part of total compensation. The pay range for this position is: $108,000—$132,000 USD Click HERE or visit: https://jobs.supernal.aero/benefits to view our benefits! Any offer of employment is conditioned upon the successful completion of a background check. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, citizenship, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other category or class protected under applicable federal, state or local law. Individuals with disabilities may request a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at: ta-support@supernal.aero This position may include access to certain technology and/or software source code subject to U. S. export controls laws and regulations. If an export authorization from an applicable US regulatory agency is required in connection with your employment, your employment is contingent upon Supernal’s receipt of such regulatory authorization(s) and your continued compliance with all conditions and limitations pursuant to such authorization(s).", "summaryDescription" : "Materials & Processes Engineer at Supernal. Skills: Materials, Processes, Structural bonding. Apply technical knowledge. Support components across eVTOL vehicle", "postedDate" : "2026-06-12T21:42:06.074", "createdAt" : "2026-06-12T21:42:06.074", "lastUpdated" : "2026-06-15T00:49:08.947", "ingestTimestamp" : "2026-06-12T21:42:06.074", "mongoId" : "6a2c5e0974d8ee00a08e08c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 108000, "salaryAnnualMax" : 132000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Materials characterization", "Allowable generation", "Test plan execution", "Data analysis", "Creative thinking", "Materials", "Processes", "Structural bonding", "Materials specifications", "Process specifications", "Design validation", "Supplier selection", "Supplier development", "Supplier qualifications", "Supplier evaluations", "Project management", "Advanced Air Mobility (AAM)", "Metallics", "Composites", "CMH-17", "SAE", "ASTM", "First Principles approach", "Minitab", "JMP", "CATIA", "SolidWorks", "NX", "MS Office Suite" ], "skillCount" : 29, "jobCategory" : "other", "jobSubcategory" : "mechanical-&-flight-systems", "dataQualityScore" : 0.7777778, "_score" : 475.51883, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advanced Air Mobility (AAM)" }, { "id" : "68c2e41bf8b1b0376634c3f8", "title" : "Deep Learning Architect, Generative AI Innovation Center", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Professional Services, Cloud Computing", "salary" : { "min" : 118200.0, "max" : 204300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T04:45:21.247", "fingerprint" : "3b1b660028872162819baf065759a3b9aa96b0ac94a52390798bf939aa4a6ff2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076320/apply", "externalId" : "3f250f8e-a109-4539-a8a1-b3f4005d4817", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Machine Learning, Generative AI, AWS, MLOps, LLMs, CDK, Terraform", "professionalSkills" : [ "System design", "Model optimization", "Risk assessment", "Profitability analysis", "Customer experience" ], "hardSkillsList" : [ "Model fine-tuning", "Reinforcement learning", "Distributed training", "Data curation", "Model evaluation", "Infrastructure as Code" ], "hardSkills" : [ { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Distributed training", "level" : "intermediate" }, { "name" : "Data curation", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" } ], "majorSkills" : "Deep Learning, Generative AI, AWS ML, Model Customization", "majorSkillsList" : [ "Deep Learning", "Generative AI", "AWS ML", "Model Customization" ], "coreResponsibilities" : "Design AWS ML architectures, Collaborate with scientists, Research generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Guide implementation solutions, Architect MLOps pipelines, Design data pipelines, Implement data pipelines, Optimize AI models, Develop custom solutions, Create recommendations, Deliver tutorials, Share sample code, Present to stakeholders, Provide feedback, Implement IaC solutions, Share knowledge, Mentor teams, Train teams, Create reusable artifacts", "teamCollaboration" : "Cross-functional teams; Customer collaboration; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Model optimization; Distributed training; Cloud-native architecture", "domainList" : [ "generative-ai", "model-optimization", "distributed-training", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Generative AI", "Model optimization", "Distributed training", "Cloud-native architecture" ], "toolProficiency" : [ "MLflow", "SageMaker Pipelines", "CDK", "Terraform" ], "communicationSkills" : "Technical presentations; Business presentations; Executive presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code", "innovationCreativity" : "Innovate in fast-paced organization; Game-changing projects; New ways optimizing risk; New ways optimizing profitability; New ways optimizing customer experience; Never-before-solved problems", "problemSolvingSkills" : "Solve real world problems; Navigate technical challenges; Navigate business challenges; Optimize risk; Optimize profitability; Optimize customer experience", "qualificationsBasic" : "Bachelor of Science degree, 3+ years cloud solutions, 2+ year ML solutions, 2+ years Python, 2+ years client engagement", "qualificationsPreferred" : "Masters or PhD degree, Working knowledge deep learning, Working knowledge machine learning, Working knowledge generative AI, Working knowledge statistics, Experience with MLflow, Experience with SageMaker Pipelines, Experience with CDK, Experience with Terraform", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect you are responsible for: - Designing complex, scalable, and secure AWS ML architectures specifically for model optimization workloads including fine-tuning, continued pretraining, and reinforcement learning - Collaborating with AI/ML scientists and architects to research, design, develop, and evaluate generative AI optimization solutions - Interacting directly with customers to understand their business problems and model customization requirements, guiding them through implementation of optimization solutions and paths to production - Architecting MLOps pipelines and infrastructure for distributed training, model evaluation, and deployment at scale using tools such as MLflow and SageMaker Pipelines - Designing and implementing data curation and distributed training pipelines for LLMs - Optimizing AI models for deployment, developing custom solutions for enhanced performance - Creating and delivering best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders - Providing customer and market feedback to product and engineering teams to help define product direction for ML services - Implementing Infrastructure as Code (IaC) solutions using CDK and Terraform for ML training and inference architectures - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts for model optimization practices About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications: - Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment - 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) - 2+ years of hands on experience with Python to build, train, and evaluate models - 2+ years of technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, or related technical, math, or scientific field - Strong working knowledge of deep learning, machine learning, generative AI, and statistics - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Experience building cloud solutions with AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services, Inc.. Skills: Deep Learning, Generative AI, AWS ML, Model Customization. Design AWS ML architectures. Collaborate with scientists", "postedDate" : "2026-06-13T20:13:14.108", "createdAt" : "2026-06-13T20:13:14.108", "lastUpdated" : "2026-06-15T04:45:21.247", "ingestTimestamp" : "2026-06-13T20:13:14.108", "mongoId" : "68c2e41bf8b1b0376634c3f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076320/apply", "salaryAnnualMin" : 118200, "salaryAnnualMax" : 204300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Model fine-tuning", "Reinforcement learning", "Distributed training", "Data curation", "Model evaluation", "Infrastructure as Code", "Deep Learning", "Generative AI", "AWS ML", "Model Customization", "System design", "Model optimization", "Risk assessment", "Profitability analysis", "Customer experience", "Cloud-native architecture", "MLflow", "SageMaker Pipelines", "CDK", "Terraform" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 469.33673, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c795774d8ee00a09414ac", "title" : "Staff Engineer, Deep Learning", "company" : "Shield AI", "industry" : "AUS", "salary" : { "min" : 75000.0, "max" : 100000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Staff Engineer, Deep Learning in Melbourne, Australia, with adjustments for seniority, company size, and industry." }, "location" : "Melbourne", "locations" : [ "Melbourne" ], "timestamp" : "2026-06-15T22:24:03.214", "fingerprint" : "97959cb108d9558926653c5efe283aa46ccdfd963c213ab3ebd68550eda4517d", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/adcb212a-b83c-4da1-a9d4-91b91fdd6155/apply", "externalId" : "adcb212a-b83c-4da1-a9d4-91b91fdd6155", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "INTERNSHIP", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Deep Learning, Python, C++, PyTorch, TensorFlow, GPU computing, Cloud platforms, Machine learning infrastructure, Distributed systems, CI/CD", "professionalSkills" : [ "System design", "Problem solving" ], "hardSkillsList" : [ "Large-scale model training", "Distributed systems engineering", "GPU computing optimization" ], "hardSkills" : [ { "name" : "Large-scale model training", "level" : "intermediate" }, { "name" : "Distributed systems engineering", "level" : "intermediate" }, { "name" : "GPU computing optimization", "level" : "intermediate" } ], "majorSkills" : "Deep Learning, ML Infrastructure, Distributed Systems", "majorSkillsList" : [ "Deep Learning", "ML Infrastructure", "Distributed Systems" ], "coreResponsibilities" : "Design and implement deep learning models, Develop and maintain machine learning infrastructure, Optimize deep learning training and inference, Collaborate with research scientists, Deploy models to production environments, Troubleshoot and debug issues, Stay up-to-date with the latest research", "teamCollaboration" : "Cross-functional teams; Research scientists", "domainKnowledge" : "Deep learning; Machine learning; Large-scale systems; GPU computing", "domainList" : [ "deep-learning", "machine-learning", "large-scale-systems", "gpu-computing" ], "domainSpecificKnowledge" : [ "Deep learning", "Machine learning", "Large-scale systems", "GPU computing" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "Kubernetes", "CI/CD tools" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay up-to-date with research", "problemSolvingSkills" : "Problem solving; Troubleshooting; Debugging", "qualificationsBasic" : "5+ years of experience in deep learning, Experience with large-scale deep learning models, Experience with deep learning frameworks, Experience with Python, Experience with C++, Experience with distributed systems, Experience with GPU computing, Experience with cloud platforms, Experience with machine learning infrastructure, Experience with large datasets", "qualificationsPreferred" : "PhD in a related field, Experience with PyTorch, Experience with TensorFlow, Experience with Kubernetes, Experience with CI/CD, Experience with ML Ops", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. ## What you'll do Research, design and implement state-of-the-art perception capabilities, taking ideas from conception into world-class field solutions Work with and deploy our AI stack to edge devices Work in collaboration with the other deep learning engineers to architect and develop tools help to scale up our deep learning operations Stay abreast with the literature and actively involve in various R&D project(s) ## Required qualifications Demonstrable experience in delivering deep-learning-based solutions to solve computer vision problems with industry-based experience between 3 – 5 years Strong understanding of using convolutional neural networks and/or transformers for object classification, recognition or segmentation Experience working with recent Foundation Models Experience with implementing novel deep learning network architectures using existing frameworks (TensorFlow, Caffe, PyTorch or similar) Relevant tertiary qualifications (Bachelors/Master/PhD in Computer Science or related fields) ## Preferred qualifications Publication(s) in world-leading Computer Vision/Artificial Intelligence/Machine Learning conferences/journals (i.e., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, PAMI, JMLR) C++ and/or Python development experience In-depth understanding of the latest deep learning network architectures for computer vision and image processing Experience with any of the following: object detection and target tracking, simultaneous localisation and mapping (SLAM), 3D reconstruction, camera calibration, behaviour analysis, foundation models, vision language models, large multi-modal models, automated video surveillance and related fields Experience deploying deep learning models in an embedded production context, including experience of structured and unstructured pruning, network quantization and performance tuning Experience in maintaining and/or setting up MLOps systems and services Experience in mentoring junior engineers/researchers in the related fields ## Additional Information Help us redefine what’s possible in AI-driven perception — apply today! Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Staff Engineer, Deep Learning at Shield AI. Skills: Deep Learning, ML Infrastructure, Distributed Systems. Design and implement deep learning models. Develop and maintain machine learning infrastructure", "postedDate" : "2026-06-11T17:12:25.558", "createdAt" : "2026-06-11T17:12:25.558", "lastUpdated" : "2026-06-15T22:24:03.214", "ingestTimestamp" : "2026-06-14T21:44:56.833", "mongoId" : "6a2c795774d8ee00a09414ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Large-scale model training", "Distributed systems engineering", "GPU computing optimization", "Deep Learning", "ML Infrastructure", "Distributed Systems", "System design", "Problem solving", "Deep learning", "Machine learning", "Large-scale systems", "GPU computing", "PyTorch", "TensorFlow", "Kubernetes", "CI/CD tools" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 463.93283, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c93b174d8ee00a0988c28", "title" : "Member of Technical Staff — Model Optimization and Inference (New Grad)", "company" : "Nuance Labs", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-15T21:28:57.333", "fingerprint" : "b3def937b295487a715d3e375c4737a63235b84620a7657547ffb5ba82322a7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nuancelabs/jobs/4283935009", "externalId" : "4283935009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Machine learning, Deep learning, Natural language processing, Computer vision, Large language models, Model optimization, Inference optimization, Python, C++, PyTorch, TensorFlow, ONNX, TensorRT, Model compression, Quantization, Pruning, Knowledge distillation, Distributed training, High-performance computing, GPU programming, CUDA, Cloud platforms, ML frameworks, Model deployment, Production environments", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation" ], "hardSkills" : [ { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Inference optimization", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" }, { "name" : "Knowledge distillation", "level" : "intermediate" } ], "majorSkills" : "Model Optimization, Inference Optimization, Machine Learning, Deep Learning", "majorSkillsList" : [ "Model Optimization", "Inference Optimization", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Optimize machine learning models, Optimize deep learning models, Optimize natural language processing models, Optimize computer vision models, Optimize large language models, Optimize model inference, Develop novel optimization techniques, Implement model compression techniques, Implement quantization techniques, Implement pruning techniques, Implement knowledge distillation techniques, Collaborate with research scientists, Collaborate with engineering teams, Deploy optimized models, Evaluate model performance, Benchmark model performance, Document optimization processes, Stay current with research", "teamCollaboration" : "Research scientists; Engineering teams", "domainKnowledge" : "Machine learning; Deep learning; Natural language processing; Computer vision; Large language models; Model optimization; Inference optimization; Model compression; Quantization; Pruning; Knowledge distillation; High-performance computing; GPU programming", "domainList" : [ "machine-learning", "deep-learning", "natural-language-processing", "computer-vision", "large-language-models", "model-optimization", "inference-optimization", "model-compression", "quantization", "pruning", "knowledge-distillation", "high-performance-computing", "gpu-programming" ], "domainSpecificKnowledge" : [ "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Large language models", "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation", "High-performance computing", "GPU programming" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "ONNX", "TensorRT" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay current with research", "innovationCreativity" : "Develop novel optimization techniques", "problemSolvingSkills" : "Model optimization; Inference optimization; Model debugging", "outcomesObjectives" : "Improve model performance; Reduce inference latency; Reduce model size; Deploy optimized models", "qualificationsBasic" : "Bachelor's degree in Computer Science, Master's degree in Computer Science, PhD in Computer Science, Experience with machine learning, Experience with deep learning, Experience with natural language processing, Experience with computer vision, Experience with large language models, Experience with model optimization, Experience with inference optimization, Experience with Python, Experience with C++, Experience with PyTorch, Experience with TensorFlow, Experience with ONNX, Experience with TensorRT, Experience with model compression, Experience with quantization, Experience with pruning, Experience with knowledge distillation", "qualificationsPreferred" : "Experience with distributed training, Experience with high-performance computing, Experience with GPU programming, Experience with CUDA, Experience with cloud platforms, Experience with ML frameworks, Experience with model deployment, Experience with production environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Nuance Labs Nuance Labs is building photorealistic, real-time AI avatars with emotional intelligence: a full-duplex audiovisual system that can listen, speak, react, interrupt, and respond like a real person. We're a Series A company ($60M raised) backed by Lightspeed, Accel, South Park Commons, NVentures, and Define Ventures, with PhDs from MIT, UW, Oxford, CMU, and Johns Hopkins, and industry experience from Apple, Meta, Amazon AGI, and Discord. The team is small, the work is real, and the problems are unsolved. How Nuance Differentiates Most conversational AI avatars today are hacks — a face slapped on a speech-to-speech pipeline, stuck in the uncanny valley: emotionless, mechanical, one-turn-at-a-time. Current systems take 2–5 seconds to respond; natural conversation requires sub-500ms. That's a 10x improvement, and it demands rethinking the entire stack. That rethinking starts with full-duplex: an AI that listens and speaks simultaneously, perceives emotion in real time, and responds with a face that actually reflects it. It's an extremely hard problem, and we're developing foundation models designed for it from the ground up. About the Role We can train a great model. The next problem is making it fast enough to actually use in a real-time conversation — and that gap is enormous. A model that responds in 3 seconds is a demo. A model that responds in under 500ms is a product. We’re looking for someone who’s excited about taking trained models and squeezing every last millisecond out of them. You understand — or want to deeply understand — the full stack from model weights to serving infrastructure: quantization, KV cache optimization, kernel-level acceleration, batching strategies. You’ve worked with vLLM, SGLang, or similar frameworks (through coursework, research, internships, or open-source) and have opinions about where they fall short. This posting is aimed at early-career engineers finishing or recently finished with a BS, MS, or PhD. We don’t require a PhD — we care about systems intuition, engineering chops, and the appetite to go deep. Our stack is more complex than a standard LLM deployment: we’re serving a full-duplex multimodal system that must satisfy strict real-time latency constraints. There’s a lot of unsolved optimization work here, and we want someone who finds that genuinely exciting and is ready to grow fast alongside people who’ve built these systems before. What You’ll Do Contribute to end-to-end inference optimization across our model stack — LLMs, audio models, and diffusion-based components Implement and tune KV cache strategies for long-context conversations, including eviction policies, compression, and memory-efficient attention Work with inference serving frameworks (vLLM, SGLang, TensorRT-LLM, etc.) and extend them for our specific workloads Profile and benchmark end-to-end latency and throughput; identify and systematically eliminate bottlenecks Build internal tooling that makes optimization work faster and more rigorous — profiling viewers, end-to-end inference test harnesses, and other infrastructure that helps the team move quickly Accelerate diffusion model inference — consistency models, step distillation, caching strategies, and custom kernel optimizations Apply quantization techniques (INT8, INT4, GPTQ, AWQ, and beyond) to reduce memory footprint and increase throughput without meaningfully degrading quality Work closely with research and infrastructure to ensure new models ship with optimized serving from day one What We’re Looking For BS, MS, or PhD in CS, ML, or a related field — completed or in the final stretch Strong fundamentals in LLM inference or ML systems — KV caching, memory layout, attention kernels, batching, or serving — picked up through coursework, research, internships, or open-source. You don’t need to have shipped at production scale yet; you do need to learn fast and go deep. Exposure to inference serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) — even at a research or hobby level Strong Python and PyTorch skills; familiarity with CUDA or Triton is a significant plus A systematic approach to profiling and optimization — you measure first, then optimize Curiosity about diffusion inference, speculative decoding, quantization, or other inference-time acceleration techniques Bonus Points Internship or research experience with LLM inference, ML systems, or model serving Contributions to open-source inference frameworks (vLLM, SGLang, TensorRT-LLM, etc.) CUDA / Triton kernel work, even at a research or hobby scale Publications or research projects in MLSys, model compression, or inference optimization Familiarity with multimodal or streaming inference architectures Experience with hard latency SLAs in any real-time system Compensation $200,000 – $300,000 base salary, plus meaningful equity. We think long-term ownership matters and structure equity accordingly. Logistics Location: In-person in Seattle, five days a week — we believe in the compounding value of working shoulder-to-shoulder. Visa sponsorship: We sponsor visas (O-1, H-1B, green card) from day one. AI-native tooling: Do your best work with the best tools, including unlimited tokens. Benefits Health: HSA plan with ~$2,000 in annual company contributions — roughly 2x what most big tech companies put in. Time off: 15 days of PTO plus public holidays, and we close the office for a full week at year-end. Food: Lunch, drinks, and snacks on us every workday — the small thing that quietly makes the day better. Commuter benefits: We help cover the cost of getting to the office. 401(k): In the works. Nuance Labs is an equal opportunity employer. We believe diverse teams build better AI.", "summaryDescription" : "Member of Technical Staff — Model Optimization and Inference (New Grad) at Nuance Labs. Skills: Model Optimization, Inference Optimization, Machine Learning, Deep Learning. Optimize machine learning models. Optimize deep learning models", "postedDate" : "2026-06-14T19:04:54.447", "createdAt" : "2026-06-14T19:04:54.447", "lastUpdated" : "2026-06-15T21:28:57.333", "ingestTimestamp" : "2026-06-14T19:04:54.447", "mongoId" : "6a2c93b174d8ee00a0988c28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation", "Model Optimization", "Inference Optimization", "Machine Learning", "Deep Learning", "System design", "Algorithm design", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Large language models", "High-performance computing", "GPU programming", "PyTorch", "TensorFlow", "ONNX", "TensorRT" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 460.62964, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e41bf8b1b0376634c3f7", "title" : "Deep Learning Architect, Generative AI Innovation Center", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Professional Services, Cloud Computing", "salary" : { "min" : 118200.0, "max" : 204300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-14T23:59:24.576", "fingerprint" : "6185e2ceb7f368aee9d172abe1ffd854991e5237de247746c787e2e28b679abc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071234/apply", "externalId" : "e3cf0a68-cb7a-4217-bcf6-d1fbc361dac9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Machine Learning, Generative AI, Deep Learning, AWS, Amazon Bedrock, Amazon SageMaker", "professionalSkills" : [ "System design", "Solution architecture" ], "hardSkillsList" : [ "Model evaluation", "Algorithm research" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Algorithm research", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Deep Learning, Machine Learning", "majorSkillsList" : [ "Generative AI", "Deep Learning", "Machine Learning" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Implement generative AI solutions, Brief customers, Guide customers on adoption, Create best practice recommendations, Deliver tutorials, Deliver blog posts, Deliver sample code, Deliver presentations, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Optimize risk, Optimize profitability, Optimize customer experience, Evangelize solutions, Implement solutions, Fine tune solutions", "teamCollaboration" : "AI/ML scientists; Architects; Customers; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Deep Learning; Cloud solutions; Cloud-native architecture", "domainList" : [ "generative-ai", "machine-learning", "deep-learning", "cloud-solutions", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Deep Learning", "Cloud solutions", "Cloud-native architecture" ], "toolProficiency" : [ "Amazon Bedrock", "Amazon SageMaker" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Blog posts; Tutorials", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree in related field, 3+ years cloud solutions experience, 2+ years hosting ML solutions, 2+ years Python experience, 2+ years technical client engagement", "qualificationsPreferred" : "Masters or PhD degree, Working knowledge of deep learning, Working knowledge of machine learning, Working knowledge of generative AI, Working knowledge of statistics, Experience building generative AI on AWS, Experience communicating across audiences, Experience building cloud solutions with AWS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder • Provide customer and market feedback to product and engineering teams to help define product direction About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications: - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment - 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) - 2+ years of hands on experience with Python to build, train, and evaluate models - 2+ years of technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, or related technical, math, or scientific field - Strong working knowledge of deep learning, machine learning, generative AI, and statistics - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Experience building cloud solutions with AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services, Inc.. Skills: Generative AI, Deep Learning, Machine Learning. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-13T06:28:25.739", "createdAt" : "2026-06-13T06:28:25.739", "lastUpdated" : "2026-06-14T23:59:24.576", "ingestTimestamp" : "2026-06-13T06:28:25.739", "mongoId" : "68c2e41bf8b1b0376634c3f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071234/apply", "salaryAnnualMin" : 118200, "salaryAnnualMax" : 204300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Model evaluation", "Algorithm research", "Mentoring", "Generative AI", "Deep Learning", "Machine Learning", "System design", "Solution architecture", "Cloud solutions", "Cloud-native architecture", "Amazon Bedrock", "Amazon SageMaker" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 459.97937, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69f2d9b44c40e2acd188fc99", "title" : "Scheduler Special Procedure", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 48500.0, "max" : 67500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Scheduler Special Procedure in Brooksville, United States, adjusted for the Healthcare industry and company size." }, "location" : "United States-Florida-Brooksville", "locations" : [ "United States-Florida-Brooksville", "
TGH Brooksville (TGHBRKSV)
17240 Cortez Boulevard

Brooksville, 34601

" ], "timestamp" : "2026-06-15T09:12:02.527", "fingerprint" : "1383fa3889b68e416b5124cba274730269972f0283962eae3fa54920b1e7539d", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=678171", "externalId" : "678171", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooksville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5552719,-82.3878709" } ], "locationText" : "Brooksville, Florida, United States", "minimumEducation" : "High School", "majorSkills" : "Procedure scheduling, Insurance verification, Patient optimization", "majorSkillsList" : [ "Procedure scheduling", "Insurance verification", "Patient optimization" ], "domainKnowledge" : "CMS requirements; JCAHO requirements; HIPAA requirements", "domainList" : [ "cms-requirements", "jcaho-requirements", "hipaa-requirements" ], "domainSpecificKnowledge" : [ "CMS requirements", "JCAHO requirements", "HIPAA requirements" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Follows established policies and procedures, gathers and records all necessary information in the process of scheduling procedures and generating a hospital account. Responsible for reviewing and analyzing orders to ensure patients are optimized to proceed with needed procedure to accurately schedule highly complex invasive cases and appointments within multiple applications within EPIC. Educates offices, surgeons, and other support staff how to accurately complete case requests and manage their block time. Ensures procedures being scheduled have the appropriate insurance to protect patients from unanticipated financial impacts. Advocates for patient safety and quality outcomes by confirming surgical credentialing is aligned with procedure being scheduled. Recognizes and adheres to all CMS, JCAHO, and HIPAA requirements when creating a hospital account. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Education: High school graduate, GED or 3 years relevant experience. Experience: (2) two years' experience or equivalent with scheduling and/or registration and/or insurance verification in a healthcare setting Brooksville", "summaryDescription" : "Scheduler Special Procedure at Tampa General Hospital. Skills: Procedure scheduling, Insurance verification, Patient optimization", "createdAt" : "2026-06-14T06:11:22.038", "lastUpdated" : "2026-06-15T09:12:02.527", "ingestTimestamp" : "2026-06-14T06:11:22.038", "mongoId" : "69f2d9b44c40e2acd188fc99", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48500, "salaryAnnualMax" : 67500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Procedure scheduling", "Insurance verification", "Patient optimization", "CMS requirements", "JCAHO requirements", "HIPAA requirements" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 456.79745, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.92 }, { "id" : "69dde4492beec4dd3d9a330d", "title" : "Ethics & Emp Conduct Advisor- HRD Division", "salary" : { "min" : 76530.0, "max" : 129430.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas", "locations" : [ "UST-Texas", "Yearly", "Exempt, " ], "timestamp" : "2026-06-16T02:17:16.791", "fingerprint" : "41980ec503674694023e6c80ff4868c80c3cea14684d52a74b5a34f251dfe633", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43686", "externalId" : "43686", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Texas", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Texas, United States", "coreResponsibilities" : "Coordinate employee relations", "qualificationsBasic" : "Reliable, Possesses a work ethic, Committed to doing a job well done", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for an individual to be the Employee Relations Coordinator in the Human Resources Division. The ideal candidate is reliable, possesses a strong work ethic, and is committed to doing a job well done! 76,530.00 129,430.00", "summaryDescription" : "Ethics & Emp Conduct Advisor- HRD Division. Coordinate employee relations", "createdAt" : "2026-06-14T19:47:55.740", "lastUpdated" : "2026-06-16T02:17:16.791", "ingestTimestamp" : "2026-06-14T19:47:55.740", "mongoId" : "69dde4492beec4dd3d9a330d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76530, "salaryAnnualMax" : 129430, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 455.33005, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.92 }, { "id" : "6a2a752274d8ee00a0656e04", "title" : "Software Engineer – Map Fusion & Planning", "company" : "DiDi Labs", "industry" : "Autonomous Driving", "salary" : { "min" : 129189.0, "max" : 214776.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-14T20:54:11.386", "fingerprint" : "8b224bdba8e28e3b96f4c9dda56e5638d02006a6c7b64cfc80deabf901870346", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/didi/jobs/7991538", "externalId" : "7991538", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, ROS2, DDS, DETR, ONNX, TensorRT", "professionalSkills" : [ "System architecture", "Algorithm deployment", "Motion planning", "Trajectory optimization", "Anomaly detection", "Performance optimization", "Spatial computing" ], "hardSkillsList" : [ "Geometric frameworks", "Deep learning frameworks", "Path planning", "Kinematic models", "Dynamic models", "Spatial geometry", "State estimation" ], "hardSkills" : [ { "name" : "Geometric frameworks", "level" : "intermediate" }, { "name" : "Deep learning frameworks", "level" : "intermediate" }, { "name" : "Path planning", "level" : "intermediate" }, { "name" : "Kinematic models", "level" : "intermediate" }, { "name" : "Dynamic models", "level" : "intermediate" }, { "name" : "Spatial geometry", "level" : "intermediate" }, { "name" : "State estimation", "level" : "intermediate" } ], "majorSkills" : "Map fusion, Motion planning, Autonomous vehicles, Deep learning", "majorSkillsList" : [ "Map fusion", "Motion planning", "Autonomous vehicles", "Deep learning" ], "coreResponsibilities" : "Architect data flow pipelines, Architect APIs for map fusion, Architect APIs for real-time map vectorization, Architect APIs for behavior/motion planning, Design robust software frameworks, Deploy robust software frameworks, Integrate offline HD maps, Integrate online perception data, Create unified local environment model, Implement state-of-the-art networks, Optimize state-of-the-art networks, Design motion planning algorithms, Implement motion planning algorithms, Validate motion planning algorithms, Establish feedback loop, Own end-to-end deployment pipeline, Optimize ONNX models, Execute models in C++, Develop anomaly detection algorithms, Develop scene-change detection algorithms, Optimize system latency, Optimize CPU memory footprint, Optimize GPU memory footprint, Optimize multi-threaded execution", "domainKnowledge" : "Autonomous driving; Robotics architecture; Spatial computing; HD maps; Lanelet2; OpenDRIVE; MapTR; VectorNet; Real-time operating systems; Safety-critical systems", "domainList" : [ "autonomous-driving", "robotics-architecture", "spatial-computing", "hd-maps", "lanelet2", "opendrive", "maptr", "vectornet", "real-time-operating-systems", "safety-critical-systems" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Robotics architecture", "Spatial computing", "HD maps", "Lanelet2", "OpenDRIVE", "MapTR", "VectorNet", "Real-time operating systems", "Safety-critical systems" ], "toolProficiency" : [ "ROS2", "DDS", "ONNX", "TensorRT" ], "innovationCreativity" : "R&D", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "B.S./M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field, 3+ years experience (Software Engineer), 5+ years experience (Senior Software Engineer), Expert proficiency in production-grade C++, Prototyping proficiency in Python, Robust foundational knowledge in path planning, Knowledge of kinematic/dynamic vehicle models, Deep understanding of robotics fundamentals, Solid understanding of middleware, Solid understanding of distributed software architectures", "qualificationsPreferred" : "Hands-on experience with numerical trajectory optimization, Hands-on experience with optimization solvers, Hands-on experience with HD map formats, Hands-on experience with end-to-end learning frameworks, Proven track record of exporting deep learning architectures via ONNX, Proven track record of deploying into C++ production environments, Proven track record of developing anomaly detection algorithms, Knowledge of real-time operating systems, Knowledge of deterministic software execution, Knowledge of safety-critical software design principles", "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Company DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet. About the Role We are seeking a Software Engineer / Senior Software Engineer to develop the next-generation map fusion and motion planning systems for our autonomous vehicles. In this role, you will bridge the gap between semantic HD maps, real-time sensor perception, and vehicle trajectory generation. You will design scalable software infrastructure, implement advanced geometric and deep learning frameworks, and develop the planning algorithms that enable our vehicles to navigate complex, dynamic environments safely and predictably. Responsibilities System Architecture: Architect the data flow pipelines and APIs for map fusion, real-time map vectorization, and behavior/motion planning modules. Algorithm Deployment: Design and deploy robust software frameworks that integrate offline High-Definition (HD) maps with online perception data to create a unified local environment model. Advanced Mapping Networks: Implement and optimize state-of-the-art networks utilizing DETR-style, query-based vector decoding in bird's-eye-view (BEV) for online map element generation. Motion Planning & Optimization: Design, implement, and validate core motion planning algorithms, establishing a tight feedback loop between vectorized map features, path generation, and trajectory optimization. Model Deployment Pipelines: Own the end-to-end deployment pipeline for deep learning mapping models—from Python-based training and ONNX optimization to highly efficient runtime execution in C++. Safety & Anomaly Detection: Develop real-time map anomaly and scene-change detection algorithms to ensure planning system reliability under varying or outdated map conditions. Performance Optimization: Optimize system latency, CPU/GPU memory footprint, and multi-threaded execution of safety-critical C++ modules. Qualifications Education: B.S./M. S. or Ph. D. in Computer Science, Robotics, Electrical Engineering, or a related field. Experience: 3+ years (Software Engineer) / 5+ years (Senior Software Engineer) of experience in autonomous driving, robotics architecture, or spatial computing. Software Mastery: Expert proficiency in production-grade C++ (Modern C++14/17/20, multi-threading, memory management) and strong prototyping proficiency in Python. Motion Planning Fundamentals: Robust foundational knowledge in path planning (e.g., A*, Dijkstra, Hybrid A*, sampling-based planners like RRT*) and kinematic/dynamic vehicle models. Robotics Core: Deep understanding of robotics fundamentals, including coordinate transformations, spatial geometry, and state estimation. System Design: Strong system design skills with a solid understanding of middleware (e.g., ROS2, DDS) and distributed software architectures. Preferred Qualifications Trajectory Optimization: Hands-on experience with numerical trajectory optimization methods (e.g., MPC, QP/Nonlinear optimization, interior-point methods) and optimization solvers (e.g., OSQP, Ipopt, Ceres Solver). Advanced Mapping Experience: Hands-on experience working with HD map formats (Lanelet2, OpenDRIVE) and modern end-to-end learning frameworks (e.g., MapTR, VectorNet) that leverage query-based BEV perception. Deep Learning Runtime & Deployment: Proven track record of exporting complex deep learning architectures via ONNX and deploying them into real-time C++ production environments using TensorRT. Anomaly Detection: Proven track record of developing algorithms for map anomaly detection, sensor-to-map misalignments, or online scene-change identification. Safety-Critical Systems: Knowledge of real-time operating systems (RTOS), deterministic software execution, and safety-critical software design principles. The base salary range for this full-time position is $129,189-$214,776 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa", "summaryDescription" : "Software Engineer – Map Fusion & Planning at DiDi Labs. Skills: Map fusion, Motion planning, Autonomous vehicles, Deep learning. Architect data flow pipelines. Architect APIs for map fusion", "postedDate" : "2026-06-11T18:33:35.756", "createdAt" : "2026-06-11T18:33:35.756", "lastUpdated" : "2026-06-14T20:54:11.386", "ingestTimestamp" : "2026-06-11T18:33:35.756", "mongoId" : "6a2a752274d8ee00a0656e04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 129189, "salaryAnnualMax" : 214776, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Geometric frameworks", "Deep learning frameworks", "Path planning", "Kinematic models", "Dynamic models", "Spatial geometry", "State estimation", "Map fusion", "Motion planning", "Autonomous vehicles", "Deep learning", "System architecture", "Algorithm deployment", "Trajectory optimization", "Anomaly detection", "Performance optimization", "Spatial computing", "Autonomous driving", "Robotics architecture", "HD maps", "Lanelet2", "OpenDRIVE", "MapTR", "VectorNet", "Real-time operating systems", "Safety-critical systems", "ROS2", "DDS", "ONNX", "TensorRT" ], "skillCount" : 30, "jobCategory" : "other", "jobSubcategory" : "planning-us", "dataQualityScore" : 1.0, "_score" : 453.25507, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Driving" }, { "id" : "6a21ad3674d8ee00a0cc2562", "title" : "Senior Deep Learning Architect, Generative AI Innovation Center", "company" : "Amazon Web Services Japan GK", "industry" : "Machine Learning Science, Professional Services, Cloud Computing", "salary" : { "min" : 1.5E7, "max" : 2.5E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Tokyo, Japan, adjusted for a Senior Deep Learning Architect role at a large technology company like Amazon Web Services, considering 2024-2025 data." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T06:00:17.161", "fingerprint" : "2188d47bb7194f9bcbec5d9140c25dd3fd3f0b97872a85f9d1ddbe7264baa530", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439873/apply", "externalId" : "f75c52d0-dcfb-43c0-a644-afafc92a1901", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Pytorch, TensorFlow, JAX, AWS, SageMaker, EMR, S3, DynamoDB, EC2, Bedrock", "professionalSkills" : [ "System design", "Solution architecture", "Data analysis", "ML ecosystem implementation" ], "hardSkillsList" : [ "Machine learning", "Deep learning", "Generative AI", "Data labeling", "Model training", "Model tuning", "Model deployment", "Data processing", "Algorithm research", "Prompt engineering", "RAG architectures", "RLHF" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model tuning", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Algorithm research", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "RAG architectures", "level" : "intermediate" }, { "name" : "RLHF", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Generative AI, Deep Learning, Machine Learning, Cloud Architecture", "majorSkillsList" : [ "Generative AI", "Deep Learning", "Machine Learning", "Cloud Architecture" ], "coreResponsibilities" : "Build scalable Generative AI solutions, Use Foundation Models, Build scalable cloud environment, Label data, Build models, Train models, Tune models, Deploy models, Interact with customers, Understand business problems, Aid in ML ecosystem implementation, Analyze historical data, Extract relevant information, Automate key processes, Optimize key processes, Drive model implementations, Drive new algorithms, Mentor junior members", "teamCollaboration" : "Applied scientists; Data scientists; Account teams; Product engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Deep Learning; Foundation Models; RAG architectures; RLHF", "domainList" : [ "generative-ai", "machine-learning", "deep-learning", "foundation-models", "rag-architectures", "rlhf" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Deep Learning", "Foundation Models", "RAG architectures", "RLHF" ], "toolProficiency" : [ "Amazon Bedrock", "Amazon SageMaker" ], "continuousLearning" : "AWS certifications; Mentorship programs", "innovationCreativity" : "Innovate in fast-paced organization; Design experiments; Research new algorithms; Find new ways of optimizing", "problemSolvingSkills" : "Solve real world problems; Navigate technical challenges; Navigate business challenges; Optimize risk; Optimize profitability; Optimize customer experience", "qualificationsBasic" : "Bachelor's degree in computer science, 5+ years of relevant working experience, Machine learning fundamentals, Working knowledge of Python, Deep learning frameworks, 5+ years developing/deploying ML/DL models, Business level Japanese proficiency", "qualificationsPreferred" : "8+ years relevant experience, 5+ years working experience, Machine learning experience, Deep learning experience, NLP experience, CV experience, GNN experience, Distributed training experience, AWS services experience, Generative AI technologies experience, Prompt engineering experience, RAG architectures experience, Fine-tuning experience, RLHF experience, Deploying/hosting foundation models experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems - Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs - Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models - Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem - Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes - Work closely with account teams, applied/data scientist teams, and product engineering teams to drive model implementations and new algorithms - Mentor and develop junior members on the team About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. What if I don’t meet all the requirements? That’s okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You’ll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today. Basic Qualifications: - Bachelor's degree in computer science or equivalent with 5+ years of relevant working experience - Experience with machine learning fundamentals, with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, or JAX - 5+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing - Business level Japanese proficiency Preferred Qualifications: - Bachelor’s degree in computer science or equivalent with 8+ years of relevant working experience, or Master’s degree in computer science or equivalent with 5+ years of working experience - Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training - Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2 - Proven experience with generative AI technologies: prompt engineering, RAG architectures, fine-tuning, RLHF, and deploying/hosting large foundation models in production environments Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services Japan GK. Skills: Generative AI, Deep Learning, Machine Learning, Cloud Architecture. Build scalable Generative AI solutions. Use Foundation Models", "postedDate" : "2026-06-13T11:18:37.859", "createdAt" : "2026-06-13T11:18:37.859", "lastUpdated" : "2026-06-15T06:00:17.161", "ingestTimestamp" : "2026-06-13T11:18:37.859", "mongoId" : "6a21ad3674d8ee00a0cc2562", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439873/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning", "Deep learning", "Generative AI", "Data labeling", "Model training", "Model tuning", "Model deployment", "Data processing", "Algorithm research", "Prompt engineering", "RAG architectures", "RLHF", "Mentoring", "Deep Learning", "Machine Learning", "Cloud Architecture", "System design", "Solution architecture", "Data analysis", "ML ecosystem implementation", "Foundation Models", "Amazon Bedrock", "Amazon SageMaker" ], "skillCount" : 23, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 443.76404, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a307f66f292fd229c058cbd", "title" : "Engineering Manager, GenAI, Google Maps Immersive Navigation", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 380000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Mountain View, United States, adjusted for Google's company size and the specific seniority level." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T11:57:09.443", "fingerprint" : "62a01492fcea33e78be2ba00c97861f156a6bd714705c9beeb1b2323a41434d1", "source" : "google", "language" : "en", "externalId" : "118508296758796998", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Manager", "summaryDescription" : "Engineering Manager, GenAI, Google Maps Immersive Navigation at Google", "postedDate" : "2026-06-16T01:50:59.819", "createdAt" : "2026-06-16T01:50:59.819", "lastUpdated" : "2026-06-16T11:57:09.443", "ingestTimestamp" : "2026-06-16T01:50:59.819", "mongoId" : "6a307f66f292fd229c058cbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryAnnualMax" : 380000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 440.2843, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69faf7f84c40e2acd18676ab", "title" : "National Consultant to conduct a comprehensive technical and participatory review of the draft National Health Strategy", "industry" : "Government", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "JOD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority consultant in Amman, Jordan, adjusted for the healthcare industry." }, "location" : "Jordan-Amman", "locations" : [ "Jordan-Amman", "May 10, 2026, 9:59:00 PM", "Jordan-Amman, " ], "timestamp" : "2026-06-15T22:27:04.389", "fingerprint" : "d2c1ff0ae2f7fd101c5ffcae4beac1dc96ab0fb5d270bf33c30e424a733a0d23", "source" : "taleo", "language" : "en", "applyUrl" : "https://who.taleo.net/careersection/ex/jobdetail.ftl?job=389244", "externalId" : "389244", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amman", "country" : "Jordan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.9515694,35.9239625" } ], "locationText" : "Amman, Jordan", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Conduct technical review, Conduct participatory review", "domainKnowledge" : "National Health Strategy", "domainList" : [ "national-health-strategy" ], "domainSpecificKnowledge" : [ "National Health Strategy" ], "qualificationsBasic" : "30 working days consultant", "remoteFriendly" : false, "rawDescription" : "External consultant 30 working days", "summaryDescription" : "National Consultant to conduct a comprehensive technical and participatory review of the draft National Health Strategy. Conduct technical review. Conduct participatory review", "createdAt" : "2026-06-14T19:49:12.599", "lastUpdated" : "2026-06-15T22:27:04.389", "ingestTimestamp" : "2026-06-14T19:49:12.599", "mongoId" : "69faf7f84c40e2acd18676ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "National Health Strategy" ], "skillCount" : 1, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 438.06802, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.9 }, { "id" : "693c2b8870f0b99d5843fbd2", "title" : "Deep Learning Architect, Generative AI Innovation Center", "company" : "Amazon Web Services", "industry" : "Data Science, Professional Services, Cloud Computing", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Deep Learning Architect in Singapore, adjusted for the technology industry and a large company size." }, "location" : "SGP", "locations" : [ "SGP" ], "timestamp" : "2026-06-15T01:20:11.244", "fingerprint" : "1569470f9c4d61d2054fe0046e3b16ddbc5651ee6016137e6a12d2e032d3e42c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139408/apply", "externalId" : "efb4ed02-a55b-4b06-a45d-c3057c6ad148", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "technicalSkills" : "Machine Learning, Generative AI, Python, AWS, Amazon Bedrock, Amazon SageMaker", "professionalSkills" : [ "System design", "Solution architecture" ], "hardSkillsList" : [ "Deep learning", "Statistics", "ML solutions" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "ML solutions", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Generative AI, Deep Learning, Cloud Solutions", "majorSkillsList" : [ "Machine Learning", "Generative AI", "Deep Learning", "Cloud Solutions" ], "coreResponsibilities" : "Collaborate with AI/ML scientists and architects, Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers directly, Understand customer business problems, Aid customers in implementation, Brief customers on adoption, Guide customers on adoption patterns, Guide customers on paths to production, Create best practice recommendations, Deliver best practice recommendations, Create tutorials, Deliver tutorials, Create blog posts, Deliver blog posts, Create sample code, Deliver sample code, Create presentations, Deliver presentations, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Find ways of optimizing risk, Find ways of optimizing profitability, Find ways of optimizing customer experience, Design solutions, Evangelize solutions, Implement solutions, Fine tune solutions", "teamCollaboration" : "AI/ML scientists; Architects; Customers; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Deep learning; Cloud computing", "domainList" : [ "generative-ai", "machine-learning", "deep-learning", "cloud-computing" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Deep learning", "Cloud computing" ], "communicationSkills" : "Executive presentations; Technical presentations", "innovationCreativity" : "Innovate in fast-paced organization; Game-changing projects; Game-changing technologies; Never-before-solved problems", "problemSolvingSkills" : "Solve real world problems; Navigate technical challenges; Navigate business challenges", "qualificationsBasic" : "Bachelor of Science degree in Computer Science, 3+ years of experience in designing, building, and/or operating cloud solutions, 2+ year experience hosting and deploying ML solutions, 2+ years of hands on experience with Python, 2+ years of technical client engagement experience", "qualificationsPreferred" : "Masters or PhD degree in computer science, working knowledge of deep learning, working knowledge of machine learning, working knowledge of generative AI, working knowledge of statistics, Experience building generative AI applications on AWS, Experience communicating across technical and non-technical audiences, Experience building cloud solutions with AWS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of- concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems. As a Deep Learning Architect, you will - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges - Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)  3+ years of experience in designing, building, and/or operating cloud solutions in a production environment - 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) - 2+ years of hands on experience with Python to build, train, and evaluate models - 2+ years of technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, or related technical, math, or scientific field - Strong working knowledge of deep learning, machine learning, generative AI, and statistics - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker  Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Experience building cloud solutions with AWS Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services. Skills: Machine Learning, Generative AI, Deep Learning, Cloud Solutions. Collaborate with AI/ML scientists and architects. Research generative AI solutions", "postedDate" : "2026-06-13T00:37:02.573", "createdAt" : "2026-06-13T00:37:02.573", "lastUpdated" : "2026-06-15T01:20:11.244", "ingestTimestamp" : "2026-06-13T00:37:02.573", "mongoId" : "693c2b8870f0b99d5843fbd2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139408/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Deep learning", "Statistics", "ML solutions", "Machine Learning", "Generative AI", "Deep Learning", "Cloud Solutions", "System design", "Solution architecture", "Cloud computing" ], "skillCount" : 10, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 434.2649, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e420f8b1b0376634c4b8", "title" : "Senior Deep Learning Architect, Generative AI Innovation Center", "company" : "Amazon Web Services", "industry" : "Data Science, Professional Services, Cloud Computing", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Deep Learning Architect in Singapore, adjusted for Amazon Web Services' size and the technology industry." }, "location" : "SGP", "locations" : [ "SGP" ], "timestamp" : "2026-06-15T02:28:57.948", "fingerprint" : "928f4b0220e137d3d85d6cd4e6c94b655a601e5103e58c2de93bcc6814f49750", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078235/apply", "externalId" : "c473ed80-aca5-4425-a66d-57bffdb78967", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine Learning, Generative AI, Python, AWS, Amazon Bedrock, Amazon SageMaker", "professionalSkills" : [ "System design", "Solution architecture" ], "hardSkillsList" : [ "Deep learning", "Machine learning", "Generative AI", "Statistics", "Model training", "Model evaluation", "Model inference" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Model inference", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Deep Learning, Machine Learning, Solution Architecture", "majorSkillsList" : [ "Generative AI", "Deep Learning", "Machine Learning", "Solution Architecture" ], "coreResponsibilities" : "Collaborate with AI/ML scientists and architects to research,, Interact with customers directly to understand their business, Aid customers in implementation of generative AI solutions, Brief customers on adoption patterns and paths to, Guide customers on adoption patterns and paths to, Create and deliver best practice recommendations, Create and deliver tutorials, Create and deliver blog posts, Create and deliver sample code, Create and deliver presentations adapted to technical, business,, Provide customer and market feedback to product and, Design and run experiments, Research new algorithms, Find new ways of optimizing risk, profitability, and, Design, evangelize, implement and fine tune state-of-the-art solutions", "teamCollaboration" : "Cross-functional teams; Customer interaction", "domainKnowledge" : "Generative AI; Cloud solutions; Machine Learning", "domainList" : [ "generative-ai", "cloud-solutions", "machine-learning" ], "domainSpecificKnowledge" : [ "Generative AI", "Cloud solutions", "Machine Learning" ], "toolProficiency" : [ "Amazon Bedrock", "Amazon SageMaker" ], "communicationSkills" : "Client presentations; Executive briefings", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code", "innovationCreativity" : "Innovate in a fast-paced organization; Game-changing projects and technologies; Develop proof-of-concepts", "problemSolvingSkills" : "Solve real world problems; Address real-world challenges; Navigate technical or business challenges", "outcomesObjectives" : "Realize transformational business opportunities; Launch solutions at scale", "qualificationsBasic" : "Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience), 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment, 4+ years experience hosting and deploying ML solutions, 4+ years of hands on experience with Python to build, train, and evaluate models, 4+ years of technical client engagement experience", "qualificationsPreferred" : "Masters or PhD degree in computer science, or related technical, math, or scientific field, 3+ years experience working with deep learning, machine learning, generative AI, or statistics, Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker, Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients, Experience building cloud solutions with AWS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of- concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems. As a Deep Learning Architect, you will - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges - Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment - 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) - 4+ years of hands on experience with Python to build, train, and evaluate models - 4+ years of technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, or related technical, math, or scientific field - 3+ years experience working with deep learning, machine learning, generative AI, or statistics - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker. - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Experience building cloud solutions with AWS Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services. Skills: Generative AI, Deep Learning, Machine Learning, Solution Architecture. Collaborate with AI/ML scientists and architects to research,. Interact with customers directly to understand their business", "postedDate" : "2026-06-13T04:56:23.963", "createdAt" : "2026-06-13T04:56:23.963", "lastUpdated" : "2026-06-15T02:28:57.948", "ingestTimestamp" : "2026-06-13T04:56:23.963", "mongoId" : "68c2e420f8b1b0376634c4b8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078235/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Deep learning", "Machine learning", "Generative AI", "Statistics", "Model training", "Model evaluation", "Model inference", "Deep Learning", "Machine Learning", "Solution Architecture", "System design", "Solution architecture", "Cloud solutions", "Amazon Bedrock", "Amazon SageMaker" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 433.0083, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e424f8b1b0376634c5d1", "title" : "Senior Program Manager, TOM Product, Data and Program", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, operations", "salary" : { "min" : 104100.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Nashville, Tennessee, USA", "locations" : [ "Nashville, Tennessee, USA" ], "timestamp" : "2026-06-15T05:36:28.022", "fingerprint" : "2f652e6bda962660df42adb3e316ced0a927ae1c77e5e99794bf46a825503b3b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077086/apply", "externalId" : "2a28f060-10e3-45d8-940c-821f925ffc94", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" }, { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" }, { "city" : "Tempe", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4255117,-111.9400160" }, { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Bellevue, Washington, United States; Nashville, Tennessee, United States; Tempe, Arizona, United States; Atlanta, Georgia, United States; Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data-driven decisions" ], "hardSkills" : [ { "name" : "Data-driven decisions", "level" : "intermediate" } ], "majorSkills" : "Program management, Process improvement, Cross-functional alignment", "majorSkillsList" : [ "Program management", "Process improvement", "Cross-functional alignment" ], "coreResponsibilities" : "Dive deep into current processes, Gather in-depth process understanding, Create stories based on data-driven decisions, Develop stories on process changes, Drive alignment of new processes, Drive adoption of new processes, Work cross-functionally across different teams, Identify appropriate performance metrics, Ensure consistent measurement, Ensure accountability", "teamCollaboration" : "Partner with stakeholders; Work cross-functionally", "projectManagementSkills" : [ "Program management", "Project management", "End to end delivery" ], "domainKnowledge" : "Transportation operations; Yard operations; Gate operations; Sensor technology", "domainList" : [ "transportation-operations", "yard-operations", "gate-operations", "sensor-technology" ], "domainSpecificKnowledge" : [ "Transportation operations", "Yard operations", "Gate operations", "Sensor technology" ], "communicationSkills" : "Communicating results", "documentationSkills" : "Standard operating procedures", "innovationCreativity" : "Challenging the status-quo; Improving and enhancing operations; Building innovative solutions", "problemSolvingSkills" : "Data-driven decision making", "specialRequirements" : "Travel up to 10%", "outcomesObjectives" : "Ensure compliance and effectiveness", "qualificationsBasic" : "5+ years program management experience, 5+ years project management experience, Experience using data and metrics to drive improvements, Experience owning program strategy, Experience owning end to end delivery, Experience communicating results to senior leadership", "qualificationsPreferred" : "2+ years driving process improvements, Master's degree, MBA", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's TOM Technology group is driving change in the Middle Mile. The Transportation Operations Management (TOM) team is looking for a Sr Program Manager with the location flexible between Bellevue (WA), Nashville (TN), Tempe (AZ), Atlanta (GA) or Arlington (VA). This role would be responsible for coordinating across the organization to successfully launch and integrate new technology innovations and operational processes to be used in TOM’s Transportation, Yard, and Gate operations. The TOM Product, Data and Program (PDP) team is implementing sensor driven technology solutions into TOM team’s operations. We are challenging the status-quo and looking for ways to improve and enhance the experience of Yard and Gate operations. As a Sr Program Manager, you will partner with stakeholders across the TOM Organization to drive and align changes in different processes, implement new standard operating procedures (SOPs), and create and track key performance indicators (KPIs) to ensure compliance and effectiveness of the new process. These large-scale projects will impact how we operate at hundreds of TOM managed Yards. Come join us building out these innovative solutions in the TOM network! Key job responsibilities - Dive deep into current processes to gather in-depth understanding of the process - Create and develop stories based on data-driven decisions on process changes - Drive alignment and adoption of new processes by working cross-functionally across different teams - Identify appropriate performance metrics for each program and ensure consistent measurement and accountability - Travel up to 10% as needed to analyze, implement and monitor best practices Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership Preferred Qualifications: - 2+ years of driving process improvements experience - Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Program Manager, TOM Product, Data and Program at Amazon.com Services LLC. Skills: Program management, Process improvement, Cross-functional alignment. Dive deep into current processes. Gather in-depth process understanding", "postedDate" : "2026-06-13T15:34:22.872", "createdAt" : "2026-06-13T15:34:22.872", "lastUpdated" : "2026-06-15T05:36:28.022", "ingestTimestamp" : "2026-06-13T15:34:22.872", "mongoId" : "68c2e424f8b1b0376634c5d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077086/apply", "salaryAnnualMin" : 104100, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data-driven decisions", "Program management", "Process improvement", "Cross-functional alignment", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Project management", "End to end delivery", "Transportation operations", "Yard operations", "Gate operations", "Sensor technology" ], "skillCount" : 17, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 420.73154, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2b975674d8ee00a0816d29", "title" : "EP Mapping Specialist - CAS", "company" : "Medtronic", "industry" : "Healthcare", "salary" : { "min" : 120000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Albuquerque, New Mexico, United States of America", "locations" : [ "Albuquerque, New Mexico, United States of America" ], "timestamp" : "2026-06-15T00:48:44.649", "fingerprint" : "3dd010fc64df8a562bd2720081248c4760c5c85011ad3b28624027704f306aa0", "source" : "workday", "language" : "en", "applyUrl" : "https://medtronic.wd1.myworkdayjobs.com/RedeploymentMedtronicCareers/job/Albuquerque-New-Mexico-United-States-of-America/EP-Mapping-Specialist---CAS--Albuquerque--New-Mexico_R69400-2", "externalId" : "R69400", "industryFunction" : { }, "locationPoint" : "35.08449,-106.65114", "structuredLocations" : [ { "city" : "Albuquerque", "state" : "New Mexico", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.0841034,-106.6509850" } ], "locationText" : "Albuquerque, New Mexico, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Cardiac mapping, Navigation system", "professionalSkills" : [ "Sales objectives", "Customer relationships" ], "hardSkillsList" : [ "Clinical support", "Technical training" ], "hardSkills" : [ { "name" : "Clinical support", "level" : "intermediate" }, { "name" : "Technical training", "level" : "intermediate" } ], "majorSkills" : "EP mapping, Ablation solutions", "majorSkillsList" : [ "EP mapping", "Ablation solutions" ], "coreResponsibilities" : "Provide clinical and technical support, Provide training to physicians and staff, Educate physicians, hospital personnel and office staff, Train physicians, hospital personnel and office staff, Promote safe and effective use of Medtronic CAS, Understand and support sales objectives, Achieve or exceed sales goals, Develop and cultivate customer relationships, Identify potential sales opportunities, Collaborate and strategize with local sales team, Conduct customer training for mapping, Collaborate and communicate with sales and clinical teams, Serve as Medtronic CAS representative, Serve as regional champion, Share experience and influence others", "teamCollaboration" : "Collaborative team of clinicians; Work with engineers; Work with physicians; Work with innovators; Partnership with Account Manager; Partnership with Regional Manager; Partnership with Area Directors; Collaborate with sales team; Collaborate with clinical teams", "domainKnowledge" : "Cardiac arrhythmias; Electrophysiology systems; Cardiac ablation field; EP lab", "domainList" : [ "cardiac-arrhythmias", "electrophysiology-systems", "cardiac-ablation-field", "ep-lab" ], "domainSpecificKnowledge" : [ "Cardiac arrhythmias", "Electrophysiology systems", "Cardiac ablation field", "EP lab" ], "specialRequirements" : "Reside within the territory, Environmental exposure to infectious disease, Environmental exposure to radiation, Be within assigned territory each day, Travel outside assigned territory, Overnight travel, Active vehicle insurance policy, Driving record reviewed, Drive approximately 50% of time, Stand/sit/walk for 8 hours, Ability to travel up to 25%", "outcomesObjectives" : "Achieve or exceed sales goals", "qualificationsBasic" : "High school diploma PLUS 6 years experience, Associate degree PLUS 4 years experience, Bachelor degree PLUS 2 years experience, Valid driver's license", "qualificationsPreferred" : "B.A./B.S. degree in nursing, cardiovascular, life sciences, or technical discipline, Minimum four years work experience in cardiac field, hospital/clinic or sales, Proven track record with technical training assignments, Experience in cardiac catheter ablation field, Experience in EP lab, Experience in hospital/clinic or EP medical sales, Experience providing technical/clinical support, Ability to travel more than 25% of the time", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We anticipate the application window for this opening will close on - 19 Jun 2026 At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. # **A Day in the Life** We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. Cardiac Ablation Solutions offers cardiac mapping and ablation solutions to treat patients with abnormal heart rhythms. Our vision is to help patients worldwide by advancing innovation for the diagnosis and ablation of cardiac arrhythmias, enabling clinicians to perform procedures with superior outcomes. Join Medtronic as an Affera Mapping Specialist and be at the forefront of transforming lives through advanced medical technology! In this dynamic role, you’ll work alongside a collaborative team of clinicians, engineers, physicians, and innovators to execute mapping solutions for cardiac and other electrophysiological systems. By blending technical expertise with a passion for improving patient outcomes, you'll have the opportunity to impact global healthcare directly. If you're driven by precision, problem-solving, and the chance to make a tangible difference in people’s lives, this is your opportunity to grow your career while shaping the future of medical innovation at Medtronic. To find all CAS Mapping roles available please use #casmap in the key word search at [Medtronic Careers](https://medtronic.wd1.myworkdayjobs.com/MedtronicCareers) **Various levels available based on qualifications and experience** Responsibilities may include the following and other duties may be assigned. * Provide clinical and technical support and training to physicians and staff on the EP mapping and navigation system and all CAS products. * Educate and train physicians, hospital personnel and office staff on technical matters relating to CAS products and related procedures. * Promote the safe and effective use of Medtronic CAS products and related procedures. * Understand and support national, regional and territory sales objectives to achieve or exceed sales goals within all CAS products. * Develop and cultivate customer relationships resulting in incremental business. * Work in partnership with Account Manager, Regional Manager and Area Directors to identify potential sales opportunities. * Collaborate and strategize with local sales team to conduct customer training for mapping and other CA Solutions products. * Collaborate and communicate with the sales and clinical teams in the region. * Serves as an effective Medtronic CAS representative to physicians and support staff regarding Medtronic CAS products, service and support. * Serve as a regional champion to share your experience and influence others to be proficient in the mapping technology. **Required Qualifications** _To be considered for this role, please ensure these minimum requirements are evident on your resume._ * High school diploma PLUS a minimum of 6 years of related work experience in cardiac mapping and navigation. **OR** * Associate degree PLUS a minimum of 4 years of related work experience in cardiac mapping and navigation. **OR** * Bachelor degree plus a minimum of 2 years of related work experience in cardiac mapping and navigation. **Preferred Qualifications** * B.A./B.S. Degree in nursing, cardiovascular, life sciences, or technical discipline with minimum of four years work experience in cardiac field, hospital/clinic or sales. * Proven track record with technical training assignments. * Experience in the cardiac catheter ablation field, EP lab, in a hospital/clinic or EP medical sales providing technical / clinical support. * Ability to travel more than 25% of the time **Additional Job Requirements** * Environmental exposure to infectious disease and radiation * Required to be within their assigned territory each day to be available as unscheduled needs arise * Will on occasion be required to travel outside of their assigned territory and possibility overnight * Must have a valid driver’s license * Ability to freely move throughout the facility, use a phone, keyboard and mouse, visually able to interact with personal computers * Must be able to stand/sit/walk for 8 hours a day * Ability to travel up to 25% Must have a valid driver's license and active vehicle insurance policy. In addition, your driving record will be reviewed and will be considered as part of your application. Must be able to drive approximately 50% of the time within assigned territory and may require overnight travel. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required. **Physical Job Requirements** The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. **U.S. Work Authorization & Sponsorship ** At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Join us in our mission to alleviate pain, restore health, and extend life—where your unique background and perspective are valued. # **Benefits & Compensation** **Medtronic offers a competitive Salary and flexible Benefits Package** A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl. PR) locations (USD):$120,000.00 - $125,000.00 ## ## The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others). In addition to Base Salary, this position is eligible for a Sales Incentive Plan (SIP), which provides the opportunity to earn significant incentive compensation for achieving or exceeding your goals. The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program). The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums). Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico. Further details are available at the link below: [Medtronic benefits and compensation plans](https://www3.benefitsolver.com/benefits/BenefitSolverView?page_name=signon&co_num=30601&co_affid=medtronic) # **About Medtronic** # We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity [here](http://www.medtronic.com). It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities. If you are applying to perform work for Medtronic, Inc. (“Medtronic”) in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find [here](https://www.medtronic.com/content/dam/medtronic-wide/public/united-states/employee-support-services/careers/la-county-legal-notice.pdf) a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.", "summaryDescription" : "EP Mapping Specialist - CAS at Medtronic. Skills: EP mapping, Ablation solutions. Provide clinical and technical support. Provide training to physicians and staff", "postedDate" : "2026-06-12T08:12:08.566", "createdAt" : "2026-06-12T08:12:08.451", "lastUpdated" : "2026-06-15T00:48:44.649", "ingestTimestamp" : "2026-06-12T08:12:08.451", "mongoId" : "6a2b975674d8ee00a0816d29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://medtronic.wd1.myworkdayjobs.com/RedeploymentMedtronicCareers/job/Albuquerque-New-Mexico-United-States-of-America/EP-Mapping-Specialist---CAS--Albuquerque--New-Mexico_R69400-2", "salaryAnnualMin" : 120000, "salaryAnnualMax" : 125000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Clinical support", "Technical training", "EP mapping", "Ablation solutions", "Sales objectives", "Customer relationships", "Cardiac arrhythmias", "Electrophysiology systems", "Cardiac ablation field", "EP lab" ], "skillCount" : 10, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 418.60162, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2b975674d8ee00a0816ce3", "title" : "EP Mapping Specialist | In Training", "company" : "Medtronic", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Bangor, Maine, United States of America", "locations" : [ "Bangor, Maine, United States of America" ], "timestamp" : "2026-06-14T22:35:10.570", "fingerprint" : "88c109ddde25fdedbee7bcc4f37e4ab0e2989b52712e7d38d7311b0e265bd911", "source" : "workday", "language" : "en", "applyUrl" : "https://medtronic.wd1.myworkdayjobs.com/RedeploymentMedtronicCareers/job/Bangor-Maine-United-States-of-America/EP-Mapping-Specialist---In-Training---ME_R69625", "externalId" : "R69625", "industryFunction" : { }, "locationPoint" : "-34.01667,151.03333", "structuredLocations" : [ { "city" : "Bangor", "state" : "Maine", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.8016255,-68.7713289" } ], "locationText" : "Bangor, Maine, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Clinical support", "Technical training", "Sales objectives" ], "hardSkillsList" : [ "Cardiac mapping", "Ablation solutions" ], "hardSkills" : [ { "name" : "Cardiac mapping", "level" : "intermediate" }, { "name" : "Ablation solutions", "level" : "intermediate" } ], "majorSkills" : "EP mapping, Cardiac ablation, Clinical support", "majorSkillsList" : [ "EP mapping", "Cardiac ablation", "Clinical support" ], "coreResponsibilities" : "Provide clinical and technical support, Provide training to physicians and staff, Educate physicians on technical matters, Promote safe and effective use of products, Understand and support sales objectives, Achieve or exceed sales goals, Develop and cultivate customer relationships, Identify potential sales opportunities, Collaborate and strategize with sales team, Conduct customer training, Collaborate and communicate with sales teams, Serve as Medtronic CAS representative, Share experience and influence others", "teamCollaboration" : "Collaborative team of clinicians; Work with Account Manager; Work with Regional Manager; Work with Area Directors; Collaborate with local sales team; Collaborate with sales teams; Collaborate with clinical teams", "domainKnowledge" : "Cardiac Ablation Solutions; Electrophysiological systems; Cardiac arrhythmias", "domainList" : [ "cardiac-ablation-solutions", "electrophysiological-systems", "cardiac-arrhythmias" ], "domainSpecificKnowledge" : [ "Cardiac Ablation Solutions", "Electrophysiological systems", "Cardiac arrhythmias" ], "specialRequirements" : "Reside within territory, Drive to multiple accounts, Environmental exposure, Be within assigned territory, Travel outside territory, Overnight travel, Drive 25-50% of time, Active vehicle insurance, Driving record reviewed, Able to move freely, Use phone, keyboard, mouse, Visually interact with computers, Stand/sit/walk 8 hours", "outcomesObjectives" : "Achieve or exceed sales goals", "qualificationsBasic" : "High School diploma PLUS 8 years healthcare experience, Associate degree PLUS 6 years healthcare experience, Bachelor degree PLUS 4 years healthcare experience, Valid driver's license", "qualificationsPreferred" : "B.A./B.S. degree with 4 years cardiac field experience, Proven track record with technical training, Experience in cardiac catheter ablation field", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We anticipate the application window for this opening will close on - 18 Jun 2026 At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. # **A Day in the Life** We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. Cardiac Ablation Solutions offers cardiac mapping and ablation solutions to treat patients with abnormal heart rhythms. Our vision is to help patients worldwide by advancing innovation for the diagnosis and ablation of cardiac arrhythmias, enabling clinicians to perform procedures with superior outcomes. Join Medtronic as an EP Mapping Specialist and be at the forefront of transforming lives through advanced medical technology! In this dynamic role, you’ll work alongside a collaborative team of clinicians, engineers, physicians, and innovators to execute solutions for cardiac and other electrophysiological systems. By blending technical expertise with a passion for improving patient outcomes, you'll have the opportunity to impact global healthcare directly. If you're driven by precision, problem-solving, and the chance to make a tangible difference in people’s lives, this is your opportunity to grow your career while shaping the future of medical innovation at Medtronic. **Various levels available based on qualifications and experience** Responsibilities may include the following and other duties may be assigned. * Provide clinical and technical support and training to physicians and staff on the EP mapping and navigation system and all CAS products. * Educate and train physicians, hospital personnel and office staff on technical matters relating to CAS products and related procedures. * Promote the safe and effective use of Medtronic CAS products and related procedures. * Understand and support national, regional and territory sales objectives to achieve or exceed sales goals within all CAS products. * Develop and cultivate customer relationships resulting in incremental business. * Work in partnership with Account Manager, Regional Manager and Area Directors to identify potential sales opportunities. * Collaborate and strategize with local sales team to conduct customer training for mapping and other CA Solutions products. * Collaborate and communicate with the sales and clinical teams in the region. * Serves as an effective Medtronic CAS representative to physicians and support staff regarding Medtronic CAS products, service and support. * Serve as a regional champion to share your experience and influence others to be proficient in the mapping technology. **Required Qualifications** _To be considered for this role, please ensure these_ ___minimum_ ___requirements are_ ___evident_ ___on your resume._____ * _High School diploma PLUS a minimum 8 years of work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field_ __ __ * _OR_ __ __ * _Associate degree PLUS a minimum of 6 years of work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field_ __ __ * __ _OR_ __ __ * _Bachelor degree PLUS a minimum 4 years work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field _ ______**** **Preferred Qualifications** * B.A./B.S. Degree in nursing, cardiovascular, life sciences, or technical discipline with minimum of four years work experience in cardiac field, hospital/clinic or sales. * Proven track record with technical training assignments. * Experience in the cardiac catheter ablation field, EP lab, in a hospital/clinic or EP medical sales providing technical / clinical support. **Additional Job Requirements** * Environmental exposure to infectious disease and radiation * Are required to be within their assigned territory each day to be available as unscheduled needs arise * Will on occasion be required to travel outside of their assigned territory and possibility overnight * Must be able to drive approximately 25-50% of the time within assigned territory and may require overnight travel. * Must have a valid driver’s license * Ability to freely move throughout the facility, use a phone, keyboard and mouse, visually able to interact with personal computers * Must be able to stand/sit/walk for 8 hours a day Must have a valid driver's license and active vehicle insurance policy. In addition, your driving record will be reviewed and will be considered as part of your application. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required. **Physical Job Requirements** The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. **U.S. Work Authorization & Sponsorship ** At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Join us in our mission to alleviate pain, restore health, and extend life—where your unique background and perspective are valued. # **Benefits & Compensation** **Medtronic offers a competitive Salary and flexible Benefits Package** A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl. PR) locations (USD):$100,000 - $130,000 ## ## U.S. Pay Transparency (for SIP, Commission, Hourly Direct, Interns, Executives)The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others). In addition to Base Salary, this position is eligible for a Sales Incentive Plan (SIP), which provides the opportunity to earn significant incentive compensation for achieving or exceeding your goals. The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program). The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums). Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico. Further details are available at the link below: [Medtronic benefits and compensation plans](https://www3.benefitsolver.com/benefits/BenefitSolverView?page_name=signon&co_num=30601&co_affid=medtronic) # **About Medtronic** # We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity [here](http://www.medtronic.com). It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities. If you are applying to perform work for Medtronic, Inc. (“Medtronic”) in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find [here](https://www.medtronic.com/content/dam/medtronic-wide/public/united-states/employee-support-services/careers/la-county-legal-notice.pdf) a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.", "summaryDescription" : "EP Mapping Specialist | In Training at Medtronic. Skills: EP mapping, Cardiac ablation, Clinical support. Provide clinical and technical support. Provide training to physicians and staff", "postedDate" : "2026-06-12T08:15:01.472", "createdAt" : "2026-06-12T08:15:01.379", "lastUpdated" : "2026-06-14T22:35:10.570", "ingestTimestamp" : "2026-06-12T08:15:01.379", "mongoId" : "6a2b975674d8ee00a0816ce3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://medtronic.wd1.myworkdayjobs.com/RedeploymentMedtronicCareers/job/Bangor-Maine-United-States-of-America/EP-Mapping-Specialist---In-Training---ME_R69625", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cardiac mapping", "Ablation solutions", "EP mapping", "Cardiac ablation", "Clinical support", "Technical training", "Sales objectives", "Cardiac Ablation Solutions", "Electrophysiological systems", "Cardiac arrhythmias" ], "skillCount" : 10, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 417.921, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2b975674d8ee00a0816cf6", "title" : "EP Mapping Specialist | In Training", "company" : "Medtronic", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Boston, Massachusetts, United States of America", "locations" : [ "Boston, Massachusetts, United States of America" ], "timestamp" : "2026-06-15T00:38:55.175", "fingerprint" : "9cdc804e32e80f683a54cb38ac9b7e7326114cdcec463351c8f14ee8ffc788d6", "source" : "workday", "language" : "en", "applyUrl" : "https://medtronic.wd1.myworkdayjobs.com/RedeploymentMedtronicCareers/job/Boston-Massachusetts-United-States-of-America/EP-Mapping-Specialist---In-Training---MA_R69623", "externalId" : "R69623", "industryFunction" : { }, "locationPoint" : "7.87111,126.36417", "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Clinical support", "Technical training", "Sales objectives" ], "hardSkillsList" : [ "Cardiac mapping", "Ablation procedures" ], "hardSkills" : [ { "name" : "Cardiac mapping", "level" : "intermediate" }, { "name" : "Ablation procedures", "level" : "intermediate" } ], "majorSkills" : "EP mapping, Cardiac ablation, Clinical support", "majorSkillsList" : [ "EP mapping", "Cardiac ablation", "Clinical support" ], "coreResponsibilities" : "Provide clinical and technical support and training to, Educate and train physicians, hospital personnel and office, Promote the safe and effective use of Medtronic, Understand and support national, regional and territory sales, Develop and cultivate customer relationships resulting in incremental, Work in partnership with Account Manager, Regional Manager, Collaborate and strategize with local sales team to, Collaborate and communicate with the sales and clinical, Serve as an effective Medtronic CAS representative to, Serve as a regional champion to share your", "teamCollaboration" : "Collaborative team of clinicians; Work with sales team; Communicate with sales and clinical teams", "domainKnowledge" : "Cardiac arrhythmias; Electrophysiological systems; Cardiac mapping; Ablation technology", "domainList" : [ "cardiac-arrhythmias", "electrophysiological-systems", "cardiac-mapping", "ablation-technology" ], "domainSpecificKnowledge" : [ "Cardiac arrhythmias", "Electrophysiological systems", "Cardiac mapping", "Ablation technology" ], "specialRequirements" : "Reside within territory, Drive to multiple accounts, Environmental exposure to infectious disease and radiation, Travel outside of assigned territory, Overnight travel, Drive approximately 25-50% of the time, Stand/sit/walk for 8 hours a day, Valid vehicle insurance policy", "outcomesObjectives" : "Achieve or exceed sales goals", "qualificationsBasic" : "High School diploma PLUS 8 years of work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field, Associate degree PLUS 6 years of work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field, Bachelor degree PLUS 4 years work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field, Valid driver's license", "qualificationsPreferred" : "B.A./B.S. Degree in nursing, cardiovascular, life sciences, or technical discipline with minimum of four years work experience in cardiac field, hospital/clinic or sales, Proven track record with technical training assignments, Experience in cardiac catheter ablation field, EP lab, hospital/clinic or EP medical sales providing technical/clinical support", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We anticipate the application window for this opening will close on - 18 Jun 2026 At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. # **A Day in the Life** We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. Cardiac Ablation Solutions offers cardiac mapping and ablation solutions to treat patients with abnormal heart rhythms. Our vision is to help patients worldwide by advancing innovation for the diagnosis and ablation of cardiac arrhythmias, enabling clinicians to perform procedures with superior outcomes. Join Medtronic as an EP Mapping Specialist and be at the forefront of transforming lives through advanced medical technology! In this dynamic role, you’ll work alongside a collaborative team of clinicians, engineers, physicians, and innovators to execute solutions for cardiac and other electrophysiological systems. By blending technical expertise with a passion for improving patient outcomes, you'll have the opportunity to impact global healthcare directly. If you're driven by precision, problem-solving, and the chance to make a tangible difference in people’s lives, this is your opportunity to grow your career while shaping the future of medical innovation at Medtronic. **Various levels available based on qualifications and experience** Responsibilities may include the following and other duties may be assigned. * Provide clinical and technical support and training to physicians and staff on the EP mapping and navigation system and all CAS products. * Educate and train physicians, hospital personnel and office staff on technical matters relating to CAS products and related procedures. * Promote the safe and effective use of Medtronic CAS products and related procedures. * Understand and support national, regional and territory sales objectives to achieve or exceed sales goals within all CAS products. * Develop and cultivate customer relationships resulting in incremental business. * Work in partnership with Account Manager, Regional Manager and Area Directors to identify potential sales opportunities. * Collaborate and strategize with local sales team to conduct customer training for mapping and other CA Solutions products. * Collaborate and communicate with the sales and clinical teams in the region. * Serves as an effective Medtronic CAS representative to physicians and support staff regarding Medtronic CAS products, service and support. * Serve as a regional champion to share your experience and influence others to be proficient in the mapping technology. **Required Qualifications** _To be considered for this role, please ensure these_ ___minimum_ ___requirements are_ ___evident_ ___on your resume._____ * _High School diploma PLUS a minimum 8 years of work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field_ __ __ * _OR_ __ __ * _Associate degree PLUS a minimum of 6 years of work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field_ __ __ * __ _OR_ __ __ * _Bachelor degree PLUS a minimum 4 years work experience in healthcare within an EP, Cath Lab setting or sales in cardiac field _ ______**** **Preferred Qualifications** * B.A./B.S. Degree in nursing, cardiovascular, life sciences, or technical discipline with minimum of four years work experience in cardiac field, hospital/clinic or sales. * Proven track record with technical training assignments. * Experience in the cardiac catheter ablation field, EP lab, in a hospital/clinic or EP medical sales providing technical / clinical support. **Additional Job Requirements** * Environmental exposure to infectious disease and radiation * Are required to be within their assigned territory each day to be available as unscheduled needs arise * Will on occasion be required to travel outside of their assigned territory and possibility overnight * Must be able to drive approximately 25-50% of the time within assigned territory and may require overnight travel. * Must have a valid driver’s license * Ability to freely move throughout the facility, use a phone, keyboard and mouse, visually able to interact with personal computers * Must be able to stand/sit/walk for 8 hours a day Must have a valid driver's license and active vehicle insurance policy. In addition, your driving record will be reviewed and will be considered as part of your application. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required. **Physical Job Requirements** The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. **U.S. Work Authorization & Sponsorship ** At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Join us in our mission to alleviate pain, restore health, and extend life—where your unique background and perspective are valued. # **Benefits & Compensation** **Medtronic offers a competitive Salary and flexible Benefits Package** A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl. PR) locations (USD):$100,000 - $130,000 ## ## U.S. Pay Transparency (for SIP, Commission, Hourly Direct, Interns, Executives)The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others). In addition to Base Salary, this position is eligible for a Sales Incentive Plan (SIP), which provides the opportunity to earn significant incentive compensation for achieving or exceeding your goals. The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program). The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums). Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico. Further details are available at the link below: [Medtronic benefits and compensation plans](https://www3.benefitsolver.com/benefits/BenefitSolverView?page_name=signon&co_num=30601&co_affid=medtronic) # **About Medtronic** # We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity [here](http://www.medtronic.com). It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities. If you are applying to perform work for Medtronic, Inc. (“Medtronic”) in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find [here](https://www.medtronic.com/content/dam/medtronic-wide/public/united-states/employee-support-services/careers/la-county-legal-notice.pdf) a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.", "summaryDescription" : "EP Mapping Specialist | In Training at Medtronic. Skills: EP mapping, Cardiac ablation, Clinical support. Provide clinical and technical support and training to. Educate and train physicians, hospital personnel and office", "postedDate" : "2026-06-12T08:15:23.365", "createdAt" : "2026-06-12T08:15:23.239", "lastUpdated" : "2026-06-15T00:38:55.175", "ingestTimestamp" : "2026-06-12T08:15:23.239", "mongoId" : "6a2b975674d8ee00a0816cf6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://medtronic.wd1.myworkdayjobs.com/RedeploymentMedtronicCareers/job/Boston-Massachusetts-United-States-of-America/EP-Mapping-Specialist---In-Training---MA_R69623", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cardiac mapping", "Ablation procedures", "EP mapping", "Cardiac ablation", "Clinical support", "Technical training", "Sales objectives", "Cardiac arrhythmias", "Electrophysiological systems", "Ablation technology" ], "skillCount" : 10, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 416.8264, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2c5df974d8ee00a08dff54", "title" : "Pricing Operation (3p mapping) [L4]", "company" : "Coupang", "salary" : { "min" : 6.5E7, "max" : 9.5E7, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an L4 Pricing Operation role in Seoul, South Korea, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Seoul, South Korea", "locations" : [ "Seoul", "South Korea" ], "timestamp" : "2026-06-14T23:55:34.785", "fingerprint" : "111ef20b9de894e8c783e4b5b6e97a3a51f0957db4bc3dea86f8f3d7b2caf57f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/coupanginternal/jobs/8002319?gh_jid=8002319", "externalId" : "8002319", "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 7, "experienceLevel" : "Mid", "professionalSkills" : [ "Price Admin", "BTS system operation" ], "hardSkillsList" : [ "Data analysis", "Process improvement" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "majorSkills" : "Price operation, 3P mapping, Market analysis", "majorSkillsList" : [ "Price operation", "3P mapping", "Market analysis" ], "coreResponsibilities" : "Provide market price information, Provide market lowest price, Support price operation for 3P sellers, Support optimal product exposure", "teamCollaboration" : "Cross-departmental coordination; Stakeholder communication", "domainKnowledge" : "E-commerce pricing; Market competitiveness", "domainList" : [ "e-commerce-pricing", "market-competitiveness" ], "domainSpecificKnowledge" : [ "E-commerce pricing", "Market competitiveness" ], "communicationSkills" : "Data communication", "problemSolvingSkills" : "Issue resolution", "outcomesObjectives" : "Provide market lowest price quickly; Improve operational efficiency", "qualificationsBasic" : "System operation experience, Operational capabilities, Coordination and communication skills, Data-driven insight communication, Customer and business perspective operation planning, Standardization and process simplification for efficiency", "qualificationsPreferred" : "SQL query data extraction, Data dashboard implementation, E-commerce pricing or operations experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다. Please complete the attached Internal Transfer Request Form and submit. 반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다. Please make sure to apply with your Coupang e-mail address. 회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 \"쿠팡 없이 그동안 어떻게 살았을까?\" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 리테일 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현가능한 한계를 뛰어넘고 있습니다. 고가용성(Always-on) 과 최첨단의 앞선 기술(High-tech), 초연결사회(Hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 Price Mapping 조직의 3P Mapping 팀은 쿠팡 마켓플레이스 상품의 가격 경쟁력을 위해서 시장의 가격 정보들을 빠르고 정확하게 제공해야 합니다. 이러한 과정을 통해 결과적으로 고객에게 시장 최저가를 빠르게 제공하는 것을 목표로 합니다. 쿠팡 내 3P 셀러의 프로모션 경쟁력을 유지하고, 고객에게 최적의 상품이 노출될 수 있도록 가격 운영을 지원하는 팀입니다. 업무내용 유관 경력 3~7년 Price Admin, BTS 등 시스템 오퍼레이션 경험 및 운영역량 이슈해결을 위한 유관부서 조율 및 커뮤니케이션 역량 데이터와 인사이트를 기반으로 아이디어를 명확하게 커뮤니케이션 할 수 있는 역량 고객 및 비지니스 관점의 운영방안을 수립하고 실행할 수 있는 역량 표준화 및 프로세스 간소화를 통한 효율성을 개선할 수 있는 역량 자격 요건 • Price Admin, BTS 등 시스템 오퍼레이션 경험 및 운영 역량을 보유한 분 • 이슈해결을 위한 유관부서 조율 및 적극적이고 능동적인 커뮤니케이션 역량을 보유한 분 • 데이터 기반의 인사이트 도출 및 시스템 개선에 대한 아이디어를 명확히 전달할 수 있는 분 • 고객 및 비즈니스 관점의 운영방안을 수립하고 실행할 수 있는 분 • 표준화 및 프로세스 간소화를 통한 효율성을 개선할 수 있는 분 우대 사항 • SQL 쿼리문을 활용한 데이터 추출 및 Data Dashboard 구현 스킬을 보유한 분 • 이커머스 기업 프라이싱 또는 운영팀 경력을 보유한 분 전형 절차 및 안내 사항 전형절차 • 서류전형 - 전화면접 - 대면(화상)면접 – 최종 합격 • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동 될 수 있습니다. • 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고사항 • 본 공고는 모집 완료 시 조기 마감될 수 있습니다. • 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. • 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. • 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. • 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. • 고용형태는 정규직으로 수습기간 12 주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다. 개인정보 처리방침 • 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류반환정책 1. 본 고지는 『채용절차의공정화에관한법률』 제 11 조제 6 항에 따른 것 입니다. 2. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 3. 위 2 항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 4. 당사는 위 2 항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 5. 단, 위 1 항 내지 4 항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. 반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다. Please complete the attached Internal Transfer Request Form and submit. 반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다. Please make sure to apply with your Coupang e-mail address.", "summaryDescription" : "Pricing Operation (3p mapping) [L4] at Coupang. Skills: Price operation, 3P mapping, Market analysis. Provide market price information. Provide market lowest price", "postedDate" : "2026-06-12T21:50:08.530", "createdAt" : "2026-06-12T21:50:08.530", "lastUpdated" : "2026-06-14T23:55:34.785", "ingestTimestamp" : "2026-06-12T21:50:08.530", "mongoId" : "6a2c5df974d8ee00a08dff54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Process improvement", "Price operation", "3P mapping", "Market analysis", "Price Admin", "BTS system operation", "E-commerce pricing", "Market competitiveness" ], "skillCount" : 9, "jobCategory" : "product", "jobSubcategory" : "retail-product", "dataQualityScore" : 1.0, "_score" : 416.6812, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca33b74d8ee00a09aabb7", "title" : "Mapping City/Country Expert", "industry" : "GIS", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Mapping City/Country Expert in Warsaw, Poland, adjusted for the technology industry and full-time employment." }, "location" : "Warsaw", "locations" : [ "Warsaw" ], "timestamp" : "2026-06-16T00:24:33.456", "fingerprint" : "a0d4e8d9807abcabd43757a4a3a96bcbcf6f9fc515eb07d6390c340d9f7fa430", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/tsmg/96907285-450c-4cba-9a6d-f9450677b4ac/apply", "externalId" : "96907285-450c-4cba-9a6d-f9450677b4ac", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 3, "technicalSkills" : "Python, Java, C#, C++, GIS, Mapping tools", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data policies", "Data models", "Transit data", "Mapping policies", "Traffic laws", "Mapping formats", "Quality audits", "Mapping data", "Regional formats", "Programming skills" ], "hardSkills" : [ { "name" : "Data policies", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Transit data", "level" : "intermediate" }, { "name" : "Mapping policies", "level" : "intermediate" }, { "name" : "Traffic laws", "level" : "intermediate" }, { "name" : "Mapping formats", "level" : "intermediate" }, { "name" : "Quality audits", "level" : "intermediate" }, { "name" : "Mapping data", "level" : "intermediate" }, { "name" : "Regional formats", "level" : "intermediate" }, { "name" : "Programming skills", "level" : "intermediate" } ], "majorSkills" : "Transit data, Mapping policies, Local expertise", "majorSkillsList" : [ "Transit data", "Mapping policies", "Local expertise" ], "coreResponsibilities" : "Communicate with internal teams and external partners, Create city-level transit data policies, Identify user expectations, data gaps, and transit-related issues, Improve transit data models, Validate and review updated transit data, Edit and maintain transit data, Resolve mapping and transit data issues, Support Program Managers in communication with data providers, Conduct field research to verify transit information, Support outage and alert management, Manage city-specific data pipelines, Create country-specific guideline documents, Provide local expertise for mapping policies, Support mapping operations with knowledge of traffic laws, Review and troubleshoot mapping and operational issues, Act as a point of contact for mapping, Perform quality audits, Identify operational errors, Review imported mapping data, Collaborate with internal teams to ensure correct formats", "teamCollaboration" : "Internal teams; External partners; Data providers", "domainKnowledge" : "Local market needs; Local regulations; Transportation systems; Traffic laws; Political mapping formats; Regional regulations", "domainList" : [ "local-market-needs", "local-regulations", "transportation-systems", "traffic-laws", "political-mapping-formats", "regional-regulations" ], "domainSpecificKnowledge" : [ "Local market needs", "Local regulations", "Transportation systems", "Traffic laws", "Political mapping formats", "Regional regulations" ], "communicationSkills" : "English; Local language", "documentationSkills" : "Guideline documents", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "1-3 years of relevant experience, Bachelor’s degree or equivalent experience, Good communication skills in English and local language, Basic programming knowledge (Python, Java, C#, or C++), Familiarity with GIS or mapping tools, Knowledge of local transit systems, traffic laws, and landmarks, Comfortable working in a fast-changing environment, Analytical and problem-solving skills, Excellent attention to detail", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Responsibilities – City Expert Communicate with internal teams and external partners to support project goals Create city-level transit data policies based on local market needs and regulations Identify user expectations, data gaps, and transit-related issues Improve transit data models using local knowledge of transportation systems Validate and review updated transit data Edit and maintain different types of transit data Resolve complex mapping and transit data issues Support Program Managers in communication with data providers and partners Conduct field research to verify transit information and user issues Support outage and alert management for assigned cities Manage city-specific data pipelines using internal platforms and basic programming skills ## Responsibilities – Country Expert Create country-specific guideline documents for operations teams Provide local expertise for mapping policies and regional regulations Support mapping operations with knowledge of traffic laws, landmarks, and political mapping formats Review and troubleshoot mapping and operational issues Act as a point of contact for country-specific mapping questions Perform quality audits and identify operational errors Review imported mapping data before system integration Collaborate with internal teams to ensure correct political and regional formats are applied ## Requirements 1–3 years of relevant experience Bachelor’s degree or equivalent experience Good communication skills in English and local language Tech-savvy with basic programming knowledge (Python, Java, C#, or C++) Familiarity with GIS or mapping tools Strong knowledge of local transit systems, traffic laws, and landmarks Comfortable working in a fast-changing environment Strong analytical and problem-solving skills Excellent attention to detail", "summaryDescription" : "Mapping City/Country Expert. Skills: Transit data, Mapping policies, Local expertise. Communicate with internal teams and external partners. Create city-level transit data policies", "postedDate" : "2026-06-12T10:39:32.729", "createdAt" : "2026-06-12T10:39:32.729", "lastUpdated" : "2026-06-16T00:24:33.456", "ingestTimestamp" : "2026-06-14T22:14:12.338", "mongoId" : "6a2ca33b74d8ee00a09aabb7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data policies", "Data models", "Transit data", "Mapping policies", "Traffic laws", "Mapping formats", "Quality audits", "Mapping data", "Regional formats", "Programming skills", "Local expertise", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Local market needs", "Local regulations", "Transportation systems", "Political mapping formats", "Regional regulations" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 414.18097, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca33b74d8ee00a09aabb4", "title" : "Mapping City/Country Expert", "industry" : "GIS", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Mapping City/Country Expert in Hyderabad, India, adjusted for the technology industry and 1-3 years of experience." }, "location" : "Hyderabad", "locations" : [ "Hyderabad" ], "timestamp" : "2026-06-16T05:28:39.797", "fingerprint" : "f116bfa10651779082fe206615270fcf3422fb219c6e98e1ab01973e015d663b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/tsmg/401fcfba-1737-476a-8469-67e09f48a8e1/apply", "externalId" : "401fcfba-1737-476a-8469-67e09f48a8e1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 3, "technicalSkills" : "Python, Java, C#, C++, GIS, Mapping tools, Programming skills", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data policies", "Data models", "Transit data", "Mapping policies", "Traffic laws", "Political mapping", "Quality audits", "Mapping data" ], "hardSkills" : [ { "name" : "Data policies", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Transit data", "level" : "intermediate" }, { "name" : "Mapping policies", "level" : "intermediate" }, { "name" : "Traffic laws", "level" : "intermediate" }, { "name" : "Political mapping", "level" : "intermediate" }, { "name" : "Quality audits", "level" : "intermediate" }, { "name" : "Mapping data", "level" : "intermediate" } ], "majorSkills" : "Transit data, Mapping policies, Local expertise", "majorSkillsList" : [ "Transit data", "Mapping policies", "Local expertise" ], "coreResponsibilities" : "Communicate with internal teams and external partners, Create city-level transit data policies, Identify user expectations, data gaps, and transit-related issues, Improve transit data models, Validate and review updated transit data, Edit and maintain transit data, Resolve mapping and transit data issues, Support Program Managers in communication, Conduct field research to verify transit information, Support outage and alert management, Manage city-specific data pipelines, Create country-specific guideline documents, Provide local expertise for mapping policies, Support mapping operations with knowledge, Review and troubleshoot mapping and operational issues, Act as a point of contact, Perform quality audits, Identify operational errors, Review imported mapping data, Collaborate with internal teams to ensure correct formats", "teamCollaboration" : "Internal teams; External partners; Data providers", "domainKnowledge" : "Local market needs; Local regulations; Transportation systems; Traffic laws; Political mapping formats", "domainList" : [ "local-market-needs", "local-regulations", "transportation-systems", "traffic-laws", "political-mapping-formats" ], "domainSpecificKnowledge" : [ "Local market needs", "Local regulations", "Transportation systems", "Traffic laws", "Political mapping formats" ], "communicationSkills" : "English; Local language", "documentationSkills" : "Guideline documents", "problemSolvingSkills" : "Problem-solving skills; Troubleshoot mapping issues", "qualificationsBasic" : "1-3 years of relevant experience, Bachelor’s degree or equivalent experience, Good communication skills in English and local language, Tech-savvy with basic programming knowledge, Familiarity with GIS or mapping tools, Knowledge of local transit systems, traffic laws, and landmarks, Comfortable working in a fast-changing environment, Analytical and problem-solving skills, Excellent attention to detail", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Responsibilities – City Expert Communicate with internal teams and external partners to support project goals Create city-level transit data policies based on local market needs and regulations Identify user expectations, data gaps, and transit-related issues Improve transit data models using local knowledge of transportation systems Validate and review updated transit data Edit and maintain different types of transit data Resolve complex mapping and transit data issues Support Program Managers in communication with data providers and partners Conduct field research to verify transit information and user issues Support outage and alert management for assigned cities Manage city-specific data pipelines using internal platforms and basic programming skills ## Responsibilities – Country Expert Create country-specific guideline documents for operations teams Provide local expertise for mapping policies and regional regulations Support mapping operations with knowledge of traffic laws, landmarks, and political mapping formats Review and troubleshoot mapping and operational issues Act as a point of contact for country-specific mapping questions Perform quality audits and identify operational errors Review imported mapping data before system integration Collaborate with internal teams to ensure correct political and regional formats are applied ## Requirements 1–3 years of relevant experience Bachelor’s degree or equivalent experience Good communication skills in English and local language Tech-savvy with basic programming knowledge (Python, Java, C#, or C++) Familiarity with GIS or mapping tools Strong knowledge of local transit systems, traffic laws, and landmarks Comfortable working in a fast-changing environment Strong analytical and problem-solving skills Excellent attention to detail", "summaryDescription" : "Mapping City/Country Expert. Skills: Transit data, Mapping policies, Local expertise. Communicate with internal teams and external partners. Create city-level transit data policies", "postedDate" : "2026-06-12T10:32:59.726", "createdAt" : "2026-06-12T10:32:59.726", "lastUpdated" : "2026-06-16T05:28:39.797", "ingestTimestamp" : "2026-06-14T21:24:54.151", "mongoId" : "6a2ca33b74d8ee00a09aabb4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data policies", "Data models", "Transit data", "Mapping policies", "Traffic laws", "Political mapping", "Quality audits", "Mapping data", "Local expertise", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Local market needs", "Local regulations", "Transportation systems", "Political mapping formats" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 413.94623, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca5f474d8ee00a09b8c72", "title" : "ISE Compliance and Oversight Specialist", "company" : "Nooks", "industry" : "Government", "salary" : { "min" : 100000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Colorado Springs, Colorado, United States", "locations" : [ "Colorado Springs", "Colorado", "United States" ], "certifications" : [ "SPeD Certification" ], "timestamp" : "2026-06-16T02:29:22.359", "fingerprint" : "a9e070dcd463e79f1d277df88f704536eff255ff215630e4ac9d79796cfdecda", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nooks/jobs/4272694009", "externalId" : "4272694009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Colorado Springs", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8339578,-104.8253480" } ], "locationText" : "Colorado Springs, Colorado, United States", "minimumEducation" : "Bachelor's", "technicalSkills" : "DISS, NBIS, ACS, IDS", "professionalSkills" : [ "Process analysis", "Process design", "Process improvement", "Standardization", "Quality assurance", "Root cause analysis", "Technology evaluation", "System optimization", "KPI development", "Metrics tracking" ], "hardSkillsList" : [ "Security compliance", "Process mapping", "Workflow analysis", "SOP development", "Template creation", "Quality control", "Incident analysis", "Corrective actions" ], "hardSkills" : [ { "name" : "Security compliance", "level" : "intermediate" }, { "name" : "Process mapping", "level" : "intermediate" }, { "name" : "Workflow analysis", "level" : "intermediate" }, { "name" : "SOP development", "level" : "intermediate" }, { "name" : "Template creation", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Incident analysis", "level" : "intermediate" }, { "name" : "Corrective actions", "level" : "intermediate" } ], "majorSkills" : "Security compliance, Process improvement, Regulatory translation", "majorSkillsList" : [ "Security compliance", "Process improvement", "Regulatory translation" ], "coreResponsibilities" : "Conduct process mapping, Analyze security processes, Identify operational inefficiencies, Identify compliance gaps, Identify workflow bottlenecks, Design optimized security processes, Implement optimized security processes, Standardize security processes, Utilize process improvement methodologies, Lead SOP development, Maintain SOP suite, Revise SOP suite, Create security templates, Manage security templates, Integrate process improvements, Focus on quality assurance, Focus on continuous monitoring, Lead post-incident analysis, Identify systemic root causes, Implement corrective process actions, Evaluate technology solutions, Recommend technology solutions, Serve as functional lead, Integrate security management systems, Optimize security management systems, Improve data integrity, Improve compliance reporting, Develop KPIs, Track KPIs, Develop metrics, Track metrics", "teamCollaboration" : "Cross-functional teams; Security Compliance SME", "domainKnowledge" : "NISPOM; Intelligence Community Directives; Industrial Security; Personnel Security; Physical Security; Information Security; Classified Infrastructure-as-a-Service; SCIF accreditation; Classified material control", "domainList" : [ "nispom", "intelligence-community-directives", "industrial-security", "personnel-security", "physical-security", "information-security", "classified-infrastructure-as-a-service", "scif-accreditation", "classified-material-control" ], "domainSpecificKnowledge" : [ "NISPOM", "Intelligence Community Directives", "Industrial Security", "Personnel Security", "Physical Security", "Information Security", "Classified Infrastructure-as-a-Service", "SCIF accreditation", "Classified material control" ], "toolProficiency" : [ "DISS", "NBIS", "ACS", "IDS" ], "documentationSkills" : "SOPs; DD-254s; Fixed Facility Checklists; Self-inspection reports", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Root cause analysis", "specialRequirements" : "Occasional travel, Top Secret clearance, SCI eligibility", "outcomesObjectives" : "Enhance efficiency; Reduce cycle time; Ensure consistent compliance; Enhance auditability; Improve data integrity; Improve compliance reporting; Measure impact of initiatives", "qualificationsBasic" : "3-5 years experience in security, Experience across multiple security disciplines, Proven experience in process improvement, Deep practical knowledge of NISPOM, Deep practical knowledge of ICDs, Active Top Secret (TS) / SCI eligibility, US Citizenship, Maintain TS/SCI eligibility within 45 days", "qualificationsPreferred" : "SPeD Certification, Experience with Lean, Experience with Six Sigma, Proficient with DISS, Proficient with NISS, Familiarity with document control software, Familiarity with workflow management software, Bachelor's degree in Security Management, Bachelor's degree in Business Process, Bachelor's degree in Quality Assurance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT NOOKS Are you seeking an exciting and unique opportunity to grow and support our national security? As a startup, we are offering a limited-time opportunity to be an equity owner in a pioneering new industry. Nooks is pioneering Classified Infrastructure-as-a-Service (CIaaS) to provide government and industry partners with the fastest, most efficient access to classified infrastructure. We are building a nationwide network of accredited classified spaces and systems, ensuring that the best technologies equip our nation’s warfighters. At Nooks, we value innovation, collaboration, and a service-first mindset. ABOUT THE ROLE We are seeking a highly analytical and experienced Compliance and Oversight Specialist to serve as an internal consultant and driver of operational excellence across the US Space Force's classified security enterprise. This is a strategic role focused on analyzing, standardizing, and streamlining security workflows across all disciplines: Industrial, Personnel, Physical, and Information Security. The Generalist will ensure the USSF's classified infrastructure and services scale efficiently by translating complex security regulations (NISPOM, ICDs) into repeatable, auditable, and highly efficient processes. The ideal candidate blends deep security compliance knowledge with expertise in process improvement methodologies. KEY RESPONSIBILITIES: 1. Security Process Analysis and Design Process Mapping: Conduct comprehensive process mapping and analysis across all security domains (e.g., clearance processing, SCIF accreditation, incident reporting, classified material control). Efficiency Improvement: Identify operational inefficiencies, compliance gaps, and bottlenecks in existing security workflows. Standardization: Design, implement, and standardize new, optimized security processes and procedures to enhance efficiency, reduce cycle time, and ensure consistent compliance across all USSF sites. Methodology: Utilize process improvement methodologies (e.g., Lean, Six Sigma principles) to enhance the security team's overall effectiveness while maintaining strict regulatory adherence. 2. Documentation and Assurance Master SOP Suite: Lead the development, maintenance, and revision of the master suite of Security Standard Operating Procedures (SOPs), ensuring a unified, consistent, and compliant framework for all security domains (PHYSEC, PERSEC, INFOSEC, INDUSEC). Template Creation: Create and manage standardized security templates for required documentation, including DD-254s, Fixed Facility Checklists (FFCs), access rosters, and internal self-inspection reports. Quality Control: Collaborate with the Security Compliance and Oversight SME to integrate process improvements into the internal self-inspection and auditing programs, focusing on quality assurance and continuous monitoring. Root Cause Analysis: Lead post-incident analysis efforts to identify systemic root causes and implement corrective process actions to prevent future security violations or recurring incidents. 3. Technology Integration and Metrics Technology Evaluation: Evaluate and recommend technology solutions (e.g., workflow software, compliance tracking tools, security management systems) to automate manual security processes and enhance auditability. System Optimization: Serve as a functional lead for the integration and optimization of security management systems (DISS/NBIS, NISS) and physical security systems (ACS/IDS) to improve data integrity and compliance reporting. KPI Development: Develop and track Key Performance Indicators (KPIs) and metrics for security process efficiency, compliance status, and security team performance to measure the impact of improvement initiatives. THE SKILLSET: Experience: 3-5 years of broad, hands-on experience in security, having worked across multiple security disciplines (PERSEC, PHYSEC, INFOSEC, INDUSEC). Process Expertise: Proven experience in process improvement, standardization, or quality assurance roles within a highly regulated compliance environment. Regulatory Expertise: Deep, practical knowledge of NISPOM/32 CFR Part 117 and applicable Intelligence Community Directives (ICDs). Clearance: Must possess and maintain an Active Top Secret (TS) / Sensitive Compartmented Information (SCI) eligibility security clearance. U. S. Citizenship is required. Candidates must be capable of maintaining eligibility up to the Top Secret/SCI level within 45 days of hire. Skills: Exceptional analytical and problem-solving skills, with a proven ability to translate complex regulatory requirements into simplified, efficient, and user-friendly processes. PREFERRED QUALIFICATIONS: Certification: SPeD Certification, or experience with process improvement methodologies (e.g., Lean, Six Sigma). System Proficiency: Highly proficient with security management systems (DISS, NISS) and familiarity with enterprise software tools used for document control or workflow management. Education: Bachelor’s degree in a relevant field (e.g., Security Management, Business Process, Quality Assurance). This position is a strategic, enterprise-wide role that may require occasional travel to USSF facilities. This employment offer is contingent upon continued funding of the underlying government contract. Should the contract be modified, or terminated, or if funding is reduced or eliminated, the employer reserves the right to adjust or rescind the offer accordingly. Salary Range for all departments Salary Range $100,000—$120,000 USD", "summaryDescription" : "ISE Compliance and Oversight Specialist at Nooks. Skills: Security compliance, Process improvement, Regulatory translation. Conduct process mapping. Analyze security processes", "postedDate" : "2026-06-14T20:12:08.625", "createdAt" : "2026-06-14T20:12:08.625", "lastUpdated" : "2026-06-16T02:29:22.359", "ingestTimestamp" : "2026-06-14T20:12:08.625", "mongoId" : "6a2ca5f474d8ee00a09b8c72", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 120000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Security compliance", "Process mapping", "Workflow analysis", "SOP development", "Template creation", "Quality control", "Incident analysis", "Corrective actions", "Process improvement", "Regulatory translation", "Process analysis", "Process design", "Standardization", "Quality assurance", "Root cause analysis", "Technology evaluation", "System optimization", "KPI development", "Metrics tracking", "NISPOM", "Intelligence Community Directives", "Industrial Security", "Personnel Security", "Physical Security", "Information Security", "Classified Infrastructure-as-a-Service", "SCIF accreditation", "Classified material control", "SPeD Certification", "DISS", "NBIS", "ACS", "IDS" ], "skillCount" : 33, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 410.70163, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5f474d8ee00a09b8c70", "title" : "ISE Compliance and Oversight Generalist", "company" : "Nooks", "industry" : "Government", "salary" : { "min" : 85000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Colorado Springs, Colorado, United States", "locations" : [ "Colorado Springs", "Colorado", "United States" ], "certifications" : [ "SPeD Certification" ], "timestamp" : "2026-06-16T04:34:37.764", "fingerprint" : "a19b5fcb54cad845f814021202477b502c2ef0335c30cab30a74354e263b1391", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nooks/jobs/4247032009", "externalId" : "4247032009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Colorado Springs", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8339578,-104.8253480" } ], "locationText" : "Colorado Springs, Colorado, United States", "minimumEducation" : "Bachelor's", "technicalSkills" : "DISS, NBIS, ACS, IDS", "professionalSkills" : [ "Process analysis", "Process design", "Process improvement", "Standardization", "Quality assurance", "Root cause analysis", "Metrics development" ], "hardSkillsList" : [ "Security compliance", "Process mapping", "Workflow analysis", "SOP development", "Template creation", "Quality control", "Incident analysis" ], "hardSkills" : [ { "name" : "Security compliance", "level" : "intermediate" }, { "name" : "Process mapping", "level" : "intermediate" }, { "name" : "Workflow analysis", "level" : "intermediate" }, { "name" : "SOP development", "level" : "intermediate" }, { "name" : "Template creation", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Incident analysis", "level" : "intermediate" } ], "majorSkills" : "Security compliance, Process improvement, Workflow standardization", "majorSkillsList" : [ "Security compliance", "Process improvement", "Workflow standardization" ], "coreResponsibilities" : "Conduct process mapping, Analyze security processes, Identify operational inefficiencies, Identify compliance gaps, Identify bottlenecks, Support design of new processes, Implement new processes, Standardize new processes, Enhance efficiency, Reduce cycle time, Ensure consistent compliance, Utilize process improvement methodologies, Enhance security team effectiveness, Support development of SOP suite, Maintain SOP suite, Revise SOP suite, Create standardized security templates, Manage standardized security templates, Integrate process improvements, Focus on quality assurance, Focus on continuous monitoring, Support post-incident analysis, Identify systemic root causes, Implement corrective process actions, Prevent future security violations, Recommend technology solutions, Automate manual security processes, Enhance auditability, Support integration of security systems, Optimize security systems, Improve data integrity, Improve compliance reporting, Track Key Performance Indicators, Track metrics for security process efficiency, Track metrics for compliance status, Track metrics for security team performance", "teamCollaboration" : "Cross-functional coordination; Vendor management; Stakeholder management; Security Compliance and Oversight Specialist; SMEs", "projectManagementSkills" : [ "Process standardization", "Process implementation" ], "domainKnowledge" : "NISPOM; ICDs; Industrial Security; Personnel Security; Physical Security; Information Security; Classified Infrastructure-as-a-Service; Classified security; Integrated Security Enterprise; US Space Force; SCIF accreditation; Classified material control; DD-254s; Fixed Facility Checklists; Security management systems; Physical security systems", "domainList" : [ "nispom", "icds", "industrial-security", "personnel-security", "physical-security", "information-security", "classified-infrastructure-as-a-service", "classified-security", "integrated-security-enterprise", "us-space-force", "scif-accreditation", "classified-material-control", "dd-254s", "fixed-facility-checklists", "security-management-systems", "physical-security-systems" ], "domainSpecificKnowledge" : [ "NISPOM", "ICDs", "Industrial Security", "Personnel Security", "Physical Security", "Information Security", "Classified Infrastructure-as-a-Service", "Classified security", "Integrated Security Enterprise", "US Space Force", "SCIF accreditation", "Classified material control", "DD-254s", "Fixed Facility Checklists", "Security management systems", "Physical security systems" ], "toolProficiency" : [ "Workflow software", "Compliance tracking tools", "Security management systems" ], "documentationSkills" : "SOPs; Security templates; DD-254s; Fixed Facility Checklists", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Root cause analysis", "specialRequirements" : "Occasional travel, Security clearance", "outcomesObjectives" : "Enhance efficiency; Reduce cycle time; Ensure consistent compliance; Enhance security team effectiveness; Improve data integrity; Improve compliance reporting", "qualificationsBasic" : "1-2 years security experience, Experience across multiple security disciplines, Experience in process improvement, Experience in standardization, Experience in quality assurance, Practical knowledge of NISPOM, Practical knowledge of 32 CFR Part 117, Practical knowledge of applicable ICDs, Analytical skills, Problem-solving skills, Ability to translate complex regulatory requirements", "qualificationsPreferred" : "SPeD Certification, Experience with process improvement methodologies, Experience with Lean, Experience with Six Sigma, Experience with security management systems, Familiarity with enterprise software tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT NOOKS Are you seeking an exciting and unique opportunity to grow and support our national security? As a startup, we are offering a limited-time opportunity to be an equity owner in a pioneering new industry. Nooks is pioneering Classified Infrastructure-as-a-Service (CIaaS) to provide government and industry partners with the fastest, most efficient access to classified infrastructure. We are building a nationwide network of accredited classified spaces and systems, ensuring that the best technologies equip our nation’s warfighters. At Nooks, we value innovation, collaboration, and a service-first mindset. ABOUT THE ROLE: We are seeking an analytical Compliance and Oversight Generalist to serve as an internal consultant on operational excellence across the US Space Force's classified security/Integrated Security Enterprise (ISE). This is a support role focused on analyzing, standardizing, and streamlining security workflows across all site security disciplines: Industrial, Personnel, Physical, and Information Security. The Generalist will help to ensure the USSF's classified infrastructure and services scale efficiently by translating complex security regulations (NISPOM, ICDs) into repeatable, auditable, and highly efficient processes. The ideal candidate blends security compliance knowledge with experience in process improvement methodologies. KEY RESPONSIBILITIES: 1. Security Process Analysis and Design Process Mapping: Conduct process mapping and analysis across all security domains (e.g., clearance processing, SCIF accreditation, incident reporting, classified material control). Efficiency Improvement: Help to identify operational inefficiencies, compliance gaps, and bottlenecks in existing security workflows. Standardization: Support design, implementation, and to standardize new, optimized security processes and procedures to enhance efficiency, reduce cycle time, and ensure consistent compliance across all USSF sites. Methodology: Utilize process improvement methodologies (e.g., Lean, Six Sigma principles) to enhance the security team's overall effectiveness while maintaining strict regulatory adherence. 2. Documentation and Assurance SOP Suite: Support the development, maintenance, and revision of the master suite of Security Standard Operating Procedures (SOPs), ensuring a unified, consistent, and compliant framework for all security domains (PHYSEC, PERSEC, INFOSEC, INDUSEC). Template Creation: Create and manage standardized security templates for required documentation, including DD-254s, Fixed Facility Checklists (FFCs), access rosters, and internal self-inspection reports. Quality Control: Collaborate with the Security Compliance and Oversight Specialist and SME to integrate process improvements into the internal self-inspection and auditing programs, focusing on quality assurance and continuous monitoring. Root Cause Analysis: Support post-incident analysis efforts to help identify systemic root causes, and support the implementation of corrective process actions to prevent future security violations or recurring incidents. 3. Technology Integration and Metrics Help recommend technology solutions (e.g., workflow software, compliance tracking tools, security management systems) to automate manual security processes and enhance auditability. System Optimization: Support the integration and optimization of security management systems (DISS/NBIS, NISS) and physical security systems (ACS/IDS) to improve data integrity and compliance reporting. KPI Development: Help track Key Performance Indicators (KPIs) and metrics for security process efficiency, compliance status, and security team performance to measure the impact of improvement initiatives. THE SKILLSET: Experience: 1-2 years of broad, hands-on experience in security, having worked across multiple security disciplines (PERSEC, PHYSEC, INFOSEC, INDUSEC). Process: Experience in process improvement, standardization, or quality assurance roles within a highly regulated compliance environment. Regulatory: Practical knowledge of NISPOM/32 CFR Part 117 and applicable Intelligence Community Directives (ICDs). Skills: Good analytical and problem-solving skills, with an ability to translate complex regulatory requirements into simplified, efficient, and user-friendly processes. PREFERRED QUALIFICATIONS: Certification: SPeD Certification, or experience with process improvement methodologies (e.g., Lean, Six Sigma). System Proficiency: Experience with security management systems (DISS, NISS) and familiarity with enterprise software tools used for document control or workflow management. Education: Bachelor’s degree in a relevant field (e.g., Security Management, Business Process, Quality Assurance). This position is a strategic, enterprise-wide role that may require occasional travel to USSF facilities. This employment offer is contingent upon continued funding of the underlying government contract. Should the contract be modified, or terminated, or if funding is reduced or eliminated, the employer reserves the right to adjust or rescind the offer accordingly. Salary Range for all departments Salary Range $85,000—$95,000 USD", "summaryDescription" : "ISE Compliance and Oversight Generalist at Nooks. Skills: Security compliance, Process improvement, Workflow standardization. Conduct process mapping. Analyze security processes", "postedDate" : "2026-06-14T19:20:28.127", "createdAt" : "2026-06-14T19:20:28.127", "lastUpdated" : "2026-06-16T04:34:37.764", "ingestTimestamp" : "2026-06-14T19:20:28.127", "mongoId" : "6a2ca5f474d8ee00a09b8c70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Security compliance", "Process mapping", "Workflow analysis", "SOP development", "Template creation", "Quality control", "Incident analysis", "Process improvement", "Workflow standardization", "Process analysis", "Process design", "Standardization", "Quality assurance", "Root cause analysis", "Metrics development", "Process standardization", "Process implementation", "NISPOM", "ICDs", "Industrial Security", "Personnel Security", "Physical Security", "Information Security", "Classified Infrastructure-as-a-Service", "Classified security", "Integrated Security Enterprise", "US Space Force", "SCIF accreditation", "Classified material control", "DD-254s", "Fixed Facility Checklists", "Security management systems", "Physical security systems", "SPeD Certification", "Workflow software", "Compliance tracking tools" ], "skillCount" : 36, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 409.5969, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706957fc9a711f0f6eda5", "title" : "Sr Risk Associate, Risk and Compliance Solutions", "company" : "Amazon Pay (India) Private Limited", "industry" : "Corporate Operations, Risk Family, Retail", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Risk Associate in FinTech in Bengaluru, India, adjusted for company size and seniority." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T09:56:07.645", "fingerprint" : "7326161a1694f4e52f70844cd221efc076f22b400a15dab023643a0a08f73461", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3070457/apply", "externalId" : "622436e1-ee37-4c10-ab98-05c814ccfc59", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL", "professionalSkills" : [ "Risk management", "Compliance management", "Transaction monitoring", "Regulatory reporting", "Anti money laundering" ], "hardSkillsList" : [ "Suspicious transaction reporting", "Customer risk categorization" ], "hardSkills" : [ { "name" : "Suspicious transaction reporting", "level" : "intermediate" }, { "name" : "Customer risk categorization", "level" : "intermediate" } ], "majorSkills" : "Risk and Compliance, AML transaction monitoring", "majorSkillsList" : [ "Risk and Compliance", "AML transaction monitoring" ], "coreResponsibilities" : "Review potential suspicious transactions, Conduct deep dives, Suspicious transaction reporting templatization, File suspicious transaction reports, Handle inquiries from regulators, Allocate AML trainings, Track AML trainings, Manage customer risk categorization process, Track adherence to AML transaction monitoring process", "domainKnowledge" : "Anti money laundering; Regulatory compliance", "domainList" : [ "anti-money-laundering", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Anti money laundering", "Regulatory compliance" ], "toolProficiency" : [ "Microsoft Office" ], "documentationSkills" : "Suspicious transaction reporting", "problemSolvingSkills" : "Deep dives", "qualificationsBasic" : "Bachelor's degree, Speak, write, and read fluently in English, Experience with Microsoft Office products and applications, Experience with Excel", "qualificationsPreferred" : "Experience in regulatory compliance management with government agencies, Experience in data-driven business operations processes, SQL knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our vision is to make Amazon Pay as the most trusted, convenient and rewarding Payment Experience. Given the highly sensitive nature of Payments business, it is imperative to have robust Risk and Compliance function, to ensure adherence to regulatory compliance and risk management and that's where Risk and Compliance Solutions (RCS) fits in. Risk and Compliance Solutions (RCS) is responsible for operational and compliance risk management for all functions within Amazon Pay. The function is responsible for setting strong operational risk management framework, risk identification, assessment and continuous monitoring framework. In addition, the function also manages key regulatory compliance functions such as regulatory reporting, Anti money laundering program, External Audit engagements, and Governances. This role is for Sr Risk Analyst who will play a critical role in AML transaction monitoring process and will be responsible for review of escalated alerts and filing suspicious transaction reports with the reporting authorities. The incumbent will report directly to the Sr Risk Manager. The Job will entail the following: a. Review of potential suspicious transactions and conducting deep dives b. Suspicious transaction reporting (STR) templatization for onward filing to regulators c. handling of inquiries received from regulators d. allocation and tracking of AML trainings e. managing customer risk categorization process f. tracking adherence to defined AML transaction monitoring process Risk and Compliance continue to evolve and incumbent could be expected to work and manage new programs as per organizational priority. Basic Qualifications: - Bachelor's degree - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Experience with Excel Preferred Qualifications: - Experience in regulatory compliance management with government agencies - Experience in data-driven business operations processes - SQL knowledge Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr Risk Associate, Risk and Compliance Solutions at Amazon Pay (India) Private Limited. Skills: Risk and Compliance, AML transaction monitoring. Review potential suspicious transactions. Conduct deep dives", "postedDate" : "2026-06-13T15:34:09.574", "createdAt" : "2026-06-13T15:34:09.574", "lastUpdated" : "2026-06-15T09:56:07.645", "ingestTimestamp" : "2026-06-13T15:34:09.574", "mongoId" : "68b706957fc9a711f0f6eda5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3070457/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Suspicious transaction reporting", "Customer risk categorization", "Risk and Compliance", "AML transaction monitoring", "Risk management", "Compliance management", "Transaction monitoring", "Regulatory reporting", "Anti money laundering", "Regulatory compliance", "Microsoft Office" ], "skillCount" : 11, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 409.1023, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a309199f292fd229c0bf691", "title" : "PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform", "company" : "Griffith University", "industry" : "Higher Education", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for PhD scholarships in Australia, adjusted for entry-level seniority and the education industry." }, "location" : "Southport, QLD, Australia", "locations" : [ "Southport", "QLD", "Australia" ], "timestamp" : "2026-06-16T15:14:27.177", "fingerprint" : "9ab39ec1fb0572b8ae0bd339253d4f6a3a2d2f525eb684512958219ddf0433fd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GriffithUniversity/744000132293369-phd-scholarship-building-deep-debate-evidence-systems-for-youth-crime-policy-reform", "externalId" : "744000132293369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Southport", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.9687807,153.4066696" } ], "locationText" : "Southport, Queensland, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceLevel" : "not-applicable", "technicalSkills" : "AI, Machine learning, LLM, Agentic AI", "professionalSkills" : [ "Research background", "Analytical skills", "Programming skills", "Critical engagement" ], "hardSkillsList" : [ "Agentic AI systems", "Machine learning", "Autonomous systems evaluation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Agentic AI systems", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Autonomous systems evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, Machine learning, Autonomous systems", "majorSkillsList" : [ "Agentic AI", "Machine learning", "Autonomous systems" ], "coreResponsibilities" : "Research design of AI systems, Evaluate AI systems, Deploy AI systems, Develop methods for autonomous agents, Build multi-agent architectures, Design evaluation frameworks for agent behaviour, Validate methods on practical tasks, Prepare data, Retrieve data, Support decision making", "teamCollaboration" : "Collaboration with supervisory team; Collaboration with researchers; Collaboration with academic partners; Collaboration with industry partners", "domainKnowledge" : "Youth crime policy; Agentic AI; Responsible AI; Large-scale data; Meta-learning; Recommender systems; Distribution shift; Uncertainty", "domainList" : [ "youth-crime-policy", "agentic-ai", "responsible-ai", "large-scale-data", "meta-learning", "recommender-systems", "distribution-shift", "uncertainty" ], "domainSpecificKnowledge" : [ "Youth crime policy", "Agentic AI", "Responsible AI", "Large-scale data", "Meta-learning", "Recommender systems", "Distribution shift", "Uncertainty" ], "communicationSkills" : "Written communication; Presentations", "continuousLearning" : "Professional development; Personal development", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Reasoning; Adaptation; Decision making", "qualificationsBasic" : "Analytical skills, Programming skills, Work independently, Work as part of a research team, Communicate research findings clearly, Engage critically with literature, Bachelor degree with first-class honours, Second-class honours (Division A), Masters degree with research component, Record of research, Qualification deemed comparable to Bachelor degree", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The research will be undertaken within the School of Information and Communication Technology (ICT) at Griffith University, in the Responsible Big Data Lab, which focuses on agentic AI, meta-learning, recommender systems, and the responsible use of large-scale data. This opportunity will be primarily based at Gold Coast. As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. We are currently looking for a PhD candidate to research the design, evaluation, and deployment of trustworthy agentic AI systems. The primary focus of this role is to develop new methods that allow autonomous, LLM-driven agents to reason, adapt, and make reliable decisions under real-world distribution shift and uncertainty. This project includes building multi-agent architectures, designing rigorous evaluation frameworks for agent behaviour, and validating these methods on practical tasks such as data preparation, retrieval, and decision support. Success in this role requires collaboration with the supervisory team and other researchers in the Responsible Big Data Lab, as well as academic and industry partners associated with the project. ## Qualifications The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful within this role, you will be able to demonstrate strong analytical and programming skills, work independently and as part of a research team, communicate research findings clearly in writing and in presentations, and engage critically with current literature in machine learning and AI. You will have evidence of a passion for artificial intelligence and its responsible, real-world application, with a strong desire to undertake research in agentic AI systems, machine learning, and the evaluation of intelligent autonomous systems. * Expressions of interest are welcome from domestic and international applicants. * Applicants must have completed, or expect to complete, a Bachelor degree with first-class honours or second-class honours (Division A) or a Masters degree, incorporating a significant research component, from a recognised institution; or * A record of research, or a qualification granted by a professional or other body deemed by the Dean, Griffith Graduate Research School, to be of a standard comparable to a Bachelor degree with second-class honours (Division A). For further information on the eligibility requirements for the program refer International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. See . ## Additional Information About the scholarship The 2026 Griffith University Postgraduate Research Scholarship has an annual stipend of $35,656 (indexed) for a period of up to three years of full-time study. Please see the [GUPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guprs) for more information. A successful International applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years full time study. Please see the [GUIPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guiprs) for more information. What Griffith offers As a scholarship holder, you will study with a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). EOI Process Please do not select the “APPLY” button. All expressions of interest must be submitted to Dr. Thanh Tam Nguyen [t.nguyen19@griffith.edu.au](mailto:t.nguyen19@griffith.edu.au) containing: * Statement addressing your suitability for the project/scholarship * Evidence that you have completed a program with the required grades as detailed in the about you section * A curriculum vitae (CV) * Names of two referees Closing date for expressions of interest is: Sunday 5 July 2026 11.59pm AEST The preferred applicant will then be invited to apply for the program and scholarship on-line. For project related enquiries please contact: Dr. Thanh Tam Nguyen Phone: (07) 5552 8738 Email: [t.nguyen19@griffith.edu.au](mailto:t.nguyen19@griffith.edu.au) For administration enquiries please contact: Griffith Graduate Research School Phone: (07) 3735 3817 Email: [hdr-scholarship@griffith.edu.au](mailto:hdr-scholarship@griffith.edu.au)", "summaryDescription" : "PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform at Griffith University. Skills: Agentic AI, Machine learning, Autonomous systems. Research design of AI systems. Evaluate AI systems", "postedDate" : "2026-06-15T22:30:40.000", "createdAt" : "2026-06-16T03:38:21.022", "lastUpdated" : "2026-06-16T15:14:27.177", "ingestTimestamp" : "2026-06-16T03:38:21.022", "mongoId" : "6a309199f292fd229c0bf691", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Agentic AI systems", "Machine learning", "Autonomous systems evaluation", "Leadership", "Agentic AI", "Autonomous systems", "Research background", "Analytical skills", "Programming skills", "Critical engagement", "Youth crime policy", "Responsible AI", "Large-scale data", "Meta-learning", "Recommender systems", "Distribution shift", "Uncertainty" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 403.84732, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3080f9f292fd229c068596", "title" : "PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform", "company" : "Griffith University", "industry" : "Higher Education", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a PhD scholarship in Australia, adjusted for entry-level seniority and the education industry." }, "location" : "Southport, QLD, Australia", "locations" : [ "Southport", "QLD", "Australia" ], "timestamp" : "2026-06-16T11:28:05.175", "fingerprint" : "af61c7006958c06bc975b0042840096e4ef7cbcc5fefb09a35812069ce255d8c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GriffithUniversity/744000132293369-phd-scholarship-building-deep-debate-evidence-systems-for-youth-crime-policy-reform", "externalId" : "744000132293369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Southport", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.9687807,153.4066696" } ], "locationText" : "Southport, Queensland, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceLevel" : "not-applicable", "technicalSkills" : "AI, Machine learning, LLM, Agentic AI", "professionalSkills" : [ "Research background", "Analytical skills", "Programming skills", "Critical engagement" ], "hardSkillsList" : [ "Agentic AI systems", "Machine learning", "Autonomous systems evaluation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Agentic AI systems", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Autonomous systems evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, Machine Learning, Autonomous Systems", "majorSkillsList" : [ "Agentic AI", "Machine Learning", "Autonomous Systems" ], "coreResponsibilities" : "Research design of AI systems, Evaluate AI systems, Deploy AI systems, Develop methods for autonomous agents, Reasoning under uncertainty, Adapt under uncertainty, Make reliable decisions, Build multi-agent architectures, Design evaluation frameworks, Validate methods, Prepare data, Retrieve data, Support decisions", "teamCollaboration" : "Supervisory team; Responsible Big Data Lab; Academic partners; Industry partners", "domainKnowledge" : "Youth crime policy; Agentic AI; Meta-learning; Recommender systems; Responsible data use; Distribution shift; Real-world uncertainty", "domainList" : [ "youth-crime-policy", "agentic-ai", "meta-learning", "recommender-systems", "responsible-data-use", "distribution-shift", "real-world-uncertainty" ], "domainSpecificKnowledge" : [ "Youth crime policy", "Agentic AI", "Meta-learning", "Recommender systems", "Responsible data use", "Distribution shift", "Real-world uncertainty" ], "communicationSkills" : "Writing; Presentations", "continuousLearning" : "Professional development; Personal development", "innovationCreativity" : "Develop new methods", "problemSolvingSkills" : "Reasoning; Decision making", "qualificationsBasic" : "Analytical skills, Programming skills, Work independently, Work as part of a research team, Communicate research findings clearly, Engage critically with literature, Bachelor degree with first-class honours, Second-class honours (Division A), Masters degree with research component, Record of research, Qualification deemed comparable to Bachelor degree", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The research will be undertaken within the School of Information and Communication Technology (ICT) at Griffith University, in the Responsible Big Data Lab, which focuses on agentic AI, meta-learning, recommender systems, and the responsible use of large-scale data. This opportunity will be primarily based at Gold Coast. As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. We are currently looking for a PhD candidate to research the design, evaluation, and deployment of trustworthy agentic AI systems. The primary focus of this role is to develop new methods that allow autonomous, LLM-driven agents to reason, adapt, and make reliable decisions under real-world distribution shift and uncertainty. This project includes building multi-agent architectures, designing rigorous evaluation frameworks for agent behaviour, and validating these methods on practical tasks such as data preparation, retrieval, and decision support. Success in this role requires collaboration with the supervisory team and other researchers in the Responsible Big Data Lab, as well as academic and industry partners associated with the project. ## Qualifications The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful within this role, you will be able to demonstrate strong analytical and programming skills, work independently and as part of a research team, communicate research findings clearly in writing and in presentations, and engage critically with current literature in machine learning and AI. You will have evidence of a passion for artificial intelligence and its responsible, real-world application, with a strong desire to undertake research in agentic AI systems, machine learning, and the evaluation of intelligent autonomous systems. * Expressions of interest are welcome from domestic and international applicants. * Applicants must have completed, or expect to complete, a Bachelor degree with first-class honours or second-class honours (Division A) or a Masters degree, incorporating a significant research component, from a recognised institution; or * A record of research, or a qualification granted by a professional or other body deemed by the Dean, Griffith Graduate Research School, to be of a standard comparable to a Bachelor degree with second-class honours (Division A). For further information on the eligibility requirements for the program refer International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. See . ## Additional Information About the scholarship The 2026 Griffith University Postgraduate Research Scholarship has an annual stipend of $35,656 (indexed) for a period of up to three years of full-time study. Please see the [GUPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guprs) for more information. A successful International applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years full time study. Please see the [GUIPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guiprs) for more information. What Griffith offers As a scholarship holder, you will study with a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). EOI Process Please do not select the “APPLY” button. All expressions of interest must be submitted to Dr. Thanh Tam Nguyen [t.nguyen19@griffith.edu.au](mailto:t.nguyen19@griffith.edu.au) containing: * Statement addressing your suitability for the project/scholarship * Evidence that you have completed a program with the required grades as detailed in the about you section * A curriculum vitae (CV) * Names of two referees Closing date for expressions of interest is: Sunday 5 July 2026 11.59pm AEST The preferred applicant will then be invited to apply for the program and scholarship on-line. For project related enquiries please contact: Dr. Thanh Tam Nguyen Phone: (07) 5552 8738 Email: [t.nguyen19@griffith.edu.au](mailto:t.nguyen19@griffith.edu.au) For administration enquiries please contact: Griffith Graduate Research School Phone: (07) 3735 3817 Email: [hdr-scholarship@griffith.edu.au](mailto:hdr-scholarship@griffith.edu.au)", "summaryDescription" : "PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform at Griffith University. Skills: Agentic AI, Machine Learning, Autonomous Systems. Research design of AI systems. Evaluate AI systems", "postedDate" : "2026-06-15T22:30:40.000", "createdAt" : "2026-06-16T01:33:41.530", "lastUpdated" : "2026-06-16T11:28:05.175", "ingestTimestamp" : "2026-06-16T01:33:41.530", "mongoId" : "6a3080f9f292fd229c068596", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Agentic AI systems", "Machine learning", "Autonomous systems evaluation", "Leadership", "Agentic AI", "Machine Learning", "Autonomous Systems", "Research background", "Analytical skills", "Programming skills", "Critical engagement", "Youth crime policy", "Meta-learning", "Recommender systems", "Responsible data use", "Distribution shift", "Real-world uncertainty" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 403.84732, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c927674d8ee00a0985dda", "title" : "EDI Mapping Specialist - with e-invoicing (f/m/d)", "company" : "ecosio", "industry" : "Technology", "salary" : { "min" : 42000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vienna, Vienna, Austria", "locations" : [ "Vienna", "Vienna", "Austria" ], "timestamp" : "2026-06-16T03:55:58.150", "fingerprint" : "c47f826ba7a4933bd1942c859b7b6e6bf1be5468dcc880246b036f6228b97567", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/ecosio/jobs/4421391101", "externalId" : "4421391101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vienna", "state" : "Vienna", "country" : "Austria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1857192,16.4221587" } ], "locationText" : "Vienna, Vienna, Austria", "employmentType" : "FULL_TIME", "technicalSkills" : "EDI, Web EDI, E-invoicing, CSV, XML, JSON, EDIFACT, ANSI X12", "professionalSkills" : [ "Data analysis", "Data mapping", "Project support", "Problem solving" ], "hardSkillsList" : [ "Data formats", "Mapping tools", "E-invoicing regulations" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Data formats", "level" : "intermediate" }, { "name" : "Mapping tools", "level" : "intermediate" }, { "name" : "E-invoicing regulations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "EDI Mapping, E-invoicing, Data Integration", "majorSkillsList" : [ "EDI Mapping", "E-invoicing", "Data Integration" ], "coreResponsibilities" : "Work on EDI projects, Work on e-invoicing projects, Support EDI implementation, Support e-invoicing implementation, Analyze data formats, Create convertible data formats, Create convertible protocols, Support customer projects, Initiate customer projects, Manage customer projects, Solve problems, Work with colleagues", "teamCollaboration" : "Integration Engineering team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "B2B integration; Electronic data interchange; E-invoicing regulations", "domainList" : [ "b2b-integration", "electronic-data-interchange", "e-invoicing-regulations" ], "domainSpecificKnowledge" : [ "B2B integration", "Electronic data interchange", "E-invoicing regulations" ], "toolProficiency" : [ "Altova MapForce", "Seeburger BIS", "Lobster" ], "communicationSkills" : "Technical English", "documentationSkills" : "Clean documentation", "continuousLearning" : "Personal development budget; Conferences; Courses; Career coaching", "innovationCreativity" : "Innovative ideas", "problemSolvingSkills" : "Problem solving; Troubleshooting", "specialRequirements" : "Work remotely from designated countries, Workations within EU", "qualificationsBasic" : "Experience with structured data formats, Experience with a mapping tool, Experience implementing e-invoicing country regulations, Good verbal and written technical English skills, Team orientation and commitment, Drive to learn new things, Ability to implement critical thinking", "qualificationsPreferred" : "Experience with EDI formats, Diploma from a HTL, Higher IT education, Equivalent EDI work experience, Basic programming skills", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Company Description ecosio is a fast-growing, innovative service company and a leading provider of B2B integration, specialising in electronic data interchange (EDI), Web EDI and e-invoicing. ecosio is part of Vertex, Inc., a leading global provider of indirect tax solutions listed on Nasdaq (VERX). Our brand slogan is Connections That Work as we believe strong connections are central to successful business relationships - both external and internal. At ecosio, we hire individuals from all backgrounds and are committed to creating an inclusive work environment. We are technology lovers, set the highest standards for our solutions, and put innovative ideas first. Job Description You'll connect with the role if you enjoy... working on EDI and e-invoicing projects, from implementation to support analysing and creating convertible data formats and protocols (mappings) to make data exchange as easy as possible for our customers supporting the team in initiating and managing customer projects solving problems in an organised structure, with the help of clean documentation and tickets working closely with your colleagues in Integration Engineering. Direct contact with customers is not required. Qualifications To connect with ecosio it is important to have… experience with structured data formats (e. g. CSV, XML, JSON) experience with a mapping tool such as Altova MapForce, Seeburger BIS, Lobster experince with implementing e-invoicing country regulations to the mapping structure good verbal and written technical English skills a strong team orientation and commitment the drive to learn new things ability to implement critical thinking to the mapping process And nice to have... experience with EDI formats such as EDIFACT or ANSI X12 a diploma from a HTL (technical college) or a higher IT education (FH or Uni) or equivalent EDI work experience basic programming skills to do troubleshooting Additional Information By connecting with us you will experience... Our remote-first culture lets you work remotely from one of our designated countries Flexible working hours to suit your schedule and priorities Annual personal development budget to invest in conferences, courses, or career coaching Home office allowance to create a workspace that fits your needs Regular events and trips to connect, celebrate, and have fun with the team Workations of up to 90 days per year within the EU, combining travel and productivity Wellbeing support, including mental health resources and employee assistance programs Additional country-specific benefits based on your location Our mission is to build Connections That Work by fostering a diverse and inclusive team. We are committed to making everyone feel valued and empowered to contribute their unique skills, experiences and perspectives. And now we want to connect with you! As part of our hiring process at ecosio, we conduct standard background checks. You can find more information about them by clicking HERE. According to the Austrian collective agreement, the minimum salary is 42.000 €/year. Of course, we are happy to offer much higher compensation based on qualifications and experience!", "summaryDescription" : "EDI Mapping Specialist - with e-invoicing (f/m/d) at ecosio. Skills: EDI Mapping, E-invoicing, Data Integration. Work on EDI projects. Work on e-invoicing projects", "postedDate" : "2026-06-14T21:48:14.407", "createdAt" : "2026-06-14T21:48:14.407", "lastUpdated" : "2026-06-16T03:55:58.150", "ingestTimestamp" : "2026-06-14T21:48:14.407", "mongoId" : "6a2c927674d8ee00a0985dda", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data formats", "Mapping tools", "E-invoicing regulations", "Critical thinking", "EDI Mapping", "E-invoicing", "Data Integration", "Data analysis", "Data mapping", "Project support", "Problem solving", "Project management", "B2B integration", "Electronic data interchange", "Altova MapForce", "Seeburger BIS", "Lobster" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 396.9588, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e418f8b1b0376634c373", "title" : "Sr Deep Learning Architect, Generative AI Innovation Center", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Professional Services, Cloud Computing", "salary" : { "min" : 138200.0, "max" : 239000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-14T23:45:18.130", "fingerprint" : "cbfcde373febe7ae160906673f1639184eaae840fafc45720eaeefbac02e1940", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3079120/apply", "externalId" : "91b608d0-b543-4043-bc7b-f5844d168633", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Machine Learning, Generative AI, AWS, Amazon Bedrock, Amazon SageMaker", "professionalSkills" : [ "System design", "Software engineering" ], "hardSkillsList" : [ "Deep learning", "Machine learning", "Generative AI", "Statistics" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Cloud solutions", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Cloud solutions" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Aid customer implementation, Brief customers on adoption, Guide customers on adoption, Create best practice recommendations, Deliver best practice recommendations, Create tutorials, Deliver tutorials, Create blog posts, Deliver blog posts, Create sample code, Deliver sample code, Create presentations, Deliver presentations, Provide customer feedback, Provide market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Customers; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Cloud computing", "domainList" : [ "generative-ai", "machine-learning", "cloud-computing" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Cloud computing" ], "communicationSkills" : "Executive presentations; Technical presentations", "documentationSkills" : "Blog posts; Tutorials; Sample code", "innovationCreativity" : "Innovate in fast-paced organization; Game-changing projects; Game-changing technologies", "problemSolvingSkills" : "Solve real world problems; Optimize risk; Optimize profitability; Optimize customer experience", "qualificationsBasic" : "Bachelor of Science degree, 5+ years cloud solutions experience, 4+ years ML solutions hosting, 4+ years Python experience, 4+ years client engagement experience", "qualificationsPreferred" : "Masters or PhD degree, 3+ years deep learning experience, 3+ years machine learning experience, 3+ years generative AI experience, 3+ years statistics experience, Build generative AI apps on AWS, Communicate across audiences, Build cloud solutions with AWS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply leading Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities * Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate leading generative AI solutions to address real-world challenges * Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production * Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder * Provide customer and market feedback to product and engineering teams to help define product direction About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications: - Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - 5+ years experience in designing, building, and/or operating cloud solutions in a production environment - 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference) - 4+ years hands on experience with Python to build, train, and evaluate models - 4+ years technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, or related technical, math, or scientific field - 3+ years experience working with deep learning, machine learning, generative AI, or statistics - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker. - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Experience building cloud solutions with AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Cloud solutions. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-13T08:24:08.700", "createdAt" : "2026-06-13T08:24:08.700", "lastUpdated" : "2026-06-14T23:45:18.130", "ingestTimestamp" : "2026-06-13T08:24:08.700", "mongoId" : "68c2e418f8b1b0376634c373", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3079120/apply", "salaryAnnualMin" : 138200, "salaryAnnualMax" : 239000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Deep learning", "Machine learning", "Generative AI", "Statistics", "Machine Learning", "Cloud solutions", "System design", "Software engineering", "Cloud computing" ], "skillCount" : 9, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 395.98813, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a306ae6f292fd229cfce459", "title" : "Process Specialist - Equipment Trainer", "company" : "OceanaGold", "industry" : "Mining And Metals", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Process Specialist - Equipment Trainer in Kershaw, United States, within the Mining industry, adjusted for company size and full-time employment." }, "location" : "Kershaw, SC, United States", "locations" : [ "Kershaw", "SC", "United States" ], "timestamp" : "2026-06-16T07:39:19.313", "fingerprint" : "1ceee2d01a87eedc34f332966a1cfe9135f2686a7aebfdb2444325845502e837", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/OceanaGold/744000132207408-process-specialist-equipment-trainer", "externalId" : "744000132207408", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kershaw", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.3334398,-80.5669895" } ], "locationText" : "Kershaw, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "P&ID", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Training development", "Safety procedures", "Environmental protection", "Cost reduction", "Production increase", "Mill throughput", "Plant utilization", "Permit to Work", "Cyanide code management", "Gas detection" ], "hardSkillsList" : [ "Equipment training", "Onboarding process", "Refresher training" ], "hardSkills" : [ { "name" : "Equipment training", "level" : "intermediate" }, { "name" : "Onboarding process", "level" : "intermediate" }, { "name" : "Refresher training", "level" : "intermediate" } ], "majorSkills" : "Equipment training, Process management, Safety procedures", "majorSkillsList" : [ "Equipment training", "Process management", "Safety procedures" ], "coreResponsibilities" : "Develop onboarding process, Lead onboarding process, Provide task training, Manage equipment training records, Support Permit to Work Officer, Ensure Permit to Work compliance, Provide input on training, Develop Permit to Work System, Maintain Permit to Work System, Identify plant items, Identify isolation points, Manage plant cyanide code, Manage gas detection equipment, Update personnel training records", "teamCollaboration" : "Cross-functional teams; Plant personnel; Permit to Work Officer; Contractors; Operators", "domainKnowledge" : "Gold production; Copper production; Mining operations; Plant operations; Process plant; Permit to Work systems; Cyanide code", "domainList" : [ "gold-production", "copper-production", "mining-operations", "plant-operations", "process-plant", "permit-to-work-systems", "cyanide-code" ], "domainSpecificKnowledge" : [ "Gold production", "Copper production", "Mining operations", "Plant operations", "Process plant", "Permit to Work systems", "Cyanide code" ], "toolProficiency" : [ "INX system", "5000-23 forms" ], "documentationSkills" : "Training records; 5000-23 forms; Isolation registration sheets", "continuousLearning" : "Monthly paid training; Professional development", "problemSolvingSkills" : "Troubleshooting; Problem resolution", "specialRequirements" : "Work shift work, Lift moderately heavy objects, Work in surface mine, Wear personal protective equipment", "outcomesObjectives" : "Achieve production numbers; Achieve targets at budget; Improve safety; Improve environmental protection; Increase production; Reduce cost per ton; Increase mill throughput; Increase plant utilization", "qualificationsBasic" : "Perform work safely, Report unsafe conditions, Follow safety rules, Inspect workplace safety, Inspect tools and equipment, Seek assistance when needed, Report conditions preventing safe work, Watch out for co-workers, Participate in incident investigations, Maintain housekeeping, Provide task training, Manage equipment training records, Ensure Permit to Work systems, Provide input on training, Maintain Permit to Work System, Identify plant items, Identify isolation points, Manage gas detection equipment, Update personnel training records", "qualificationsPreferred" : "Experience with INX system, Experience with 5000-23 forms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "OceanaGold is a growing mid-tier gold and copper producer listed on the Toronto Stock Exchange (TSX). With four operating mines—Haile in the USA, Didipio in the Philippines, and Macraes and Waihi in New Zealand—we are committed to safe, responsible mining that generates strong returns and supports sustainable development. Our purpose is mining gold for a better future. The gold, copper, and silver we produce power renewable energy, life-saving medical devices, and the technology that connects communities. Beyond this, our operations drive economic growth and improve health and education outcomes in the regions we serve, supporting over 3,700 direct jobs globally. Guided by our values—Care, Respect, Integrity, Performance, and Teamwork—we strive to be a trusted company people want to work for, partner with, and invest in, creating lasting value for all our stakeholders. Haile Gold Mine located in South Carolina is the largest gold mine on the East Coast of America. Our employees are at the heart of all we do. With 84% of our employees living in the surrounding community, they are neighbors and friends as well. Join our team, where your expertise can make a true impact! The following are department objectives that all Process personnel work to achieve: * No Lost Time Injuries. * Development of team members to add value to Oceana Gold group and individuals within the team. * Achieve or better production number for gold production. * Achieve targets at or less than budget for costs. * Strive to improve areas of safety and environmental protection. * Increase production while reducing cost per ton or ore through the mill. * Increase mill throughput and utilization of the plant. * Demonstrate and promote OGC values at all times. To meet these objectives, the plant specialist will perform several duties. The primary role is to ensure plant personnel are trained and able to carry out duties and responsibilities while working in the process plant. The responsibilities include: * Help develop and lead the two-week onboarding process for new employees. The training will focus on the overall plant layout, including circuit overviews and general processes, equipment location and P&ID references, and general operator responsibilities, with an emphasis on housekeeping. The target objectives from this training include, but are not limited to, an operator being able to: * Perform work safely and immediately report unsafe conditions/situations to supervisors. * Use and follow all approved plant and department safety. Health and environmental rules, procedures, and directions. * Regularly inspect the workplace and ensure it is in safe condition. This includes regularly inspecting and ensuring tools and equipment are in a safe condition and are used properly. * Seek assistance when they don’t have the skill, physical ability, or knowledge to safely carry out a task. * Know their personal limitation and report immediately to supervisors any conditions that may prevent performing work in a safe and environmentally responsible manner. * Stop to identify conditions that could cause an injury or harm to the environment and correct the situation or report it to a supervisor. * Watch out for the safety of co-workers and anyone in the processing area. * Actively participate in incident investigations, health, safety and environmental programs, activities, audits, and industrial hygiene studies as required. * Maintain the required level of housekeeping. * Provide all task training for equipment used throughout the process plant, both initial training for new employees as well as refresher training for all plant personnel as needed. * Manage equipment training records both on paper and in the INX system, including 5000-23 forms. A secondary role is to work with and support the Permit to Work Officer and help in the following areas: * Ensure that Permit to Work systems and procedures are in place and being compiled with and to provide input on maintenance, contractor, and operator training to ensure understanding and compliance to the site location requirements. * Development and maintain the Permit to Work System to ensure minimum effect on production whilst still covering all aspects of safety and environmental control. Ensure that all plant items and isolation points are adequately identified and the isolation registration sheets are available for all plant areas and equipment. * Implementation and management of the plant cyanide code, including preparing for the audit process every three years. * Management of the gas detection equipment portable (fix and calibrate monitors, PM, records, etc.). * Update and manage personnel training records in INX, including 5000-23’s. Other responsibilities can include, but are not limited to: * Act as a representative when dealing with contractors, and coordinate and manage consultants and resources as needed. * Lead ICAM’s for the processing department with safety. * Help organize and assess the process risk assessment each year for the plant. * Attend trainings/development programs and perform other duties required by the company from time to time. * Lead or facilitate training presentations. * Identify areas for plant improvement. * Support confined space safety, procedures, and compliance processes * Facilitate training sessions for new hires (onboarding) and operational/process teams, delivering relevant safety information, best practices, and procedural updates. ## Qualifications * Minimum of 2 years’ experience and skills related to plant operations. This includes: * Crushing, grinding, flotation, CIL, elution, and mobile support equipment. * Working around mills, conveyors, pumps, and chemicals. * Minimum of 1 years’ experience in LOTOTO and Permit to Work systems in the mining industry (or similar heavy industrial type industry), including possessing the following: * Strong safety background * Good understanding of energy types and isolation procedures Additional information Leadership Requirements: * Demonstrate and promote OGC values at all times: * Care (for the safety, health and well-being of our people, the environment, and local communities). * Respect (respect and listen to each other, embracing different views and diversity in all its forms). * Integrity (Doing the right thing and taking accountability to deliver on our commitments). * Performance (Strive for excellence through learning, continuous improvement, and innovating). * Teamwork (achieve great outcomes by everyone contributing and working together). * Develop and maintain a positive working relationship with others. * Promotes high levels of accountability and employee empowerment. * Demonstrate a strong commitment to continuously improving the safe and efficient operation of the process. Acts with a sense of urgency when troubleshooting and resolving problems, especially problems concerning safety and our license to operate. * Demonstrates a strong commitment to developing and promoting talent. Physical Requirements: * While performing the duties of this job, the employee is regularly required to stand, sit, demonstrate manual dexterity, climb stairs, talk, hear, and see. * Must be able to work shift work with 12-hour shifts. * Occasionally may be required to lift moderately heavy objects (up to 50 pounds) during the workday. * Work is in a surface mine plant setting, which may include exposure to extremes in temperature and humidity. * Personal protective equipment is required when performing work in a mine environment, including hart hard, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves, and any other protective equipment as required. All your information will be kept confidential according to EEO guidelines. ## Additional Information WHAT'S ON OFFER: * Competitive salary + short-term and long-term bonus * Comprehensive benefits package including health, vision and dental insurance, 401K, and more * Great residential location close to Charlotte SC, and is located between the mountains and sea. * Long service recognition * Living Our Values recognition program * In-office snack shop * Monthly paid training available and professional development * Supportive work environment with a focus on safety and teamwork * Access to OceanaGold Employee Assistance Program (EAP) YOU MATTER: OceanaGold is committed to providing equal employment opportunities. We believe a variety of perspectives are not only welcome – they are essential to our success. Should you require any assistance applying for this opportunity, please contact us at careers@oceanagold.com PLEASE NOTE: APPLICATIONS FROM AGENCIES WILL NOT BE ACCEPTED", "summaryDescription" : "Process Specialist - Equipment Trainer at OceanaGold. Skills: Equipment training, Process management, Safety procedures. Develop onboarding process. Lead onboarding process", "postedDate" : "2026-06-15T13:48:30.000", "createdAt" : "2026-06-15T23:52:34.631", "lastUpdated" : "2026-06-16T07:39:19.313", "ingestTimestamp" : "2026-06-15T23:52:34.631", "mongoId" : "6a306ae6f292fd229cfce459", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Equipment training", "Onboarding process", "Refresher training", "Process management", "Safety procedures", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Training development", "Environmental protection", "Cost reduction", "Production increase", "Mill throughput", "Plant utilization", "Permit to Work", "Cyanide code management", "Gas detection", "Gold production", "Copper production", "Mining operations", "Plant operations", "Process plant", "Permit to Work systems", "Cyanide code", "INX system", "5000-23 forms" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 394.2941, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307856f292fd229c02ac6b", "title" : "Director of Food & Beverage", "company" : "Spectrum Retirement Communities, LLC", "industry" : "Hospital And Health Care", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Food & Beverage in Algonquin, IL, adjusted for seniority, company size, and healthcare industry." }, "location" : "Algonquin, Illinois, United States", "locations" : [ "Algonquin", "Illinois", "United States" ], "certifications" : [ "Culinary Certification", "Dietary Manager Certification", "Serve Safe certification" ], "timestamp" : "2026-06-16T13:35:26.162", "fingerprint" : "273ee35afd1bdd490ee0e13d48e964204c4a8d184465ca988577f39721764523", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SpectrumRetirementCommunities/3743990013630006-director-of-food-beverage", "externalId" : "3743990013630006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Algonquin", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.1655801,-88.2942493" } ], "locationText" : "Algonquin, Illinois, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "professionalSkills" : [ "General management", "Personnel development" ], "hardSkillsList" : [ "Kitchen sanitation", "Portion control", "Cost control", "Budget management", "Energy conservation", "Purchasing", "Receiving", "Storing systems", "Preparation techniques", "Serving techniques", "Pilferage control" ], "hardSkills" : [ { "name" : "Kitchen sanitation", "level" : "intermediate" }, { "name" : "Portion control", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Energy conservation", "level" : "intermediate" }, { "name" : "Purchasing", "level" : "intermediate" }, { "name" : "Receiving", "level" : "intermediate" }, { "name" : "Storing systems", "level" : "intermediate" }, { "name" : "Preparation techniques", "level" : "intermediate" }, { "name" : "Serving techniques", "level" : "intermediate" }, { "name" : "Pilferage control", "level" : "intermediate" } ], "majorSkills" : "Staff Training, Sanitation Procedures", "majorSkillsList" : [ "Staff Training", "Sanitation Procedures" ], "coreResponsibilities" : "Recruit staff, Hire staff, Train staff, Motivate staff, Educate staff, Maintain department records, Perform administrative functions, Establish sanitation procedures, Document sanitation procedures, Direct sanitation procedures, Assist with sanitation procedures, Coordinate with community leadership, Comply with state rules, Comply with local rules, Comply with federal rules, Comply with licensing requirements", "teamCollaboration" : "Community leadership team", "domainKnowledge" : "Dietary Department operations; Health and safety regulations; OSHA regulations", "domainList" : [ "dietary-department-operations", "health-and-safety-regulations", "osha-regulations" ], "domainSpecificKnowledge" : [ "Dietary Department operations", "Health and safety regulations", "OSHA regulations" ], "outcomesObjectives" : "Create superlative dining experience", "qualificationsBasic" : "High school diploma or equivalent, Serve Safe certification or equivalent, State and county-specific certifications, Two years’ supervisory experience", "qualificationsPreferred" : "Culinary, and/or Dietary Manager Certification, Experience in senior living, hospitality, or healthcare dining", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Spectrum Retirement Communities we believe in living without limits, in aging fearlessly, and in sharing great stories. The Spectrum Story is full of compassion, hard work, and fun. If the chapters of your life story include caring for others and a dedicated work ethic, then we need you! The Director of Food and Beverage is responsible for creating a superlative dining experience for our residents. In this position, your main responsibilities will include: * Recruit, hire, train, motivate, and educate a full complement of staff. Maintain department records and perform administrative functions. * Establish, document, direct, and assist with general kitchen and dining room sanitation procedures. * Coordinate with the community leadership team for any special functions or needs of residents * Comply with all state, local, or federal rules, regulations, and licensing requirements related to health, safety (OSHA), and general operations of the Food & Beverage Department ## Qualifications To be successful in this position, we believe that you need the following experiences, strengths, and skills: * A high school diploma or equivalent is required. * Culinary, and/or Dietary Manager Certification preferred, or the ability to become certified * Serve Safe certification or equivalent required * State and county-specific certifications * Two years’ supervisory experience within a dietary environment * Experience in senior living, hospitality, or healthcare dining preferred * Possess general knowledge in the following areas of operation: productivity, costs and budgets, energy conservation, purchasing, receiving, storing systems, preparation and serving techniques, pilferage and portion control, personnel development, kitchen sanitation and general management of the Dietary Department ## Additional Information If you join Spectrum as a full-time team member, your story will include eligibility for medical insurance, dental insurance, vision insurance, life insurance, and other voluntary insurance options. All part-time and full-time team members are eligible to participate in our 401(k), for paid time off, holiday pay, Daily Pay and discounts through Perk Spot. Spectrum Retirement Communities strongly encourage all team members to be fully vaccinated against COVID-19, however, the vaccine is not a requirement to work with us. Spectrum Retirement, LLC and all affiliates are Equal Opportunity Employers. We do not discriminate against employees or applicants on the basis of race, color, national origin, gender, sex, sexual orientation, pregnancy, gender identity or expression, disability, religion, age, genetic information, veteran status, or any other characteristic protected by federal, state or local law. Spectrum Retirement, LLC also participates in the E-verify program through the Department of Homeland Security and the Social Security Administration. #IND123", "summaryDescription" : "Director of Food & Beverage at Spectrum Retirement Communities, LLC. Skills: Staff Training, Sanitation Procedures. Recruit staff. Hire staff", "postedDate" : "2026-06-15T20:34:13.000", "createdAt" : "2026-06-16T01:33:41.815", "lastUpdated" : "2026-06-16T13:35:26.162", "ingestTimestamp" : "2026-06-16T01:33:41.815", "mongoId" : "6a307856f292fd229c02ac6b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Kitchen sanitation", "Portion control", "Cost control", "Budget management", "Energy conservation", "Purchasing", "Receiving", "Storing systems", "Preparation techniques", "Serving techniques", "Pilferage control", "Staff Training", "Sanitation Procedures", "General management", "Personnel development", "Dietary Department operations", "Health and safety regulations", "OSHA regulations", "Culinary Certification", "Dietary Manager Certification", "Serve Safe certification" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 390.88748, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f4e74d8ee00a0955131", "title" : "Electrical Engineer (RF/Signal Processing Engineer)", "company" : "Analytic Services Inc", "industry" : "Government", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Electrical Engineer in Reston, VA, adjusted for the government industry and company size." }, "location" : "Reston, Virginia, United States", "locations" : [ "Reston", "Virginia", "United States" ], "timestamp" : "2026-06-15T08:28:54.808", "fingerprint" : "8be341cadbc3dda1b2e59a2963bf3e52b71748fd30165922219a48598d48b1e0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/analyticservicesinc/jobs/5255444008?gh_jid=5255444008", "externalId" : "5255444008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reston", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9532820,-77.3464516" } ], "locationText" : "Reston, Virginia, United States", "technicalSkills" : "RF systems, Signal processing, Microelectronics, Sensors, Electronic technologies, Electromagnetic, Electro-optical, Infrared systems, Computer engineering, Electronic engineering, Optical engineering, Power engineering, Software development, Digital signal processing, Signal detection theory", "professionalSkills" : [ "Scientific research", "Engineering research", "Technical assessments", "System characterization", "Reverse engineering", "Limitation analyses", "Vulnerability analyses", "Analytical approaches", "Analytical methodologies" ], "hardSkillsList" : [ "Electrical engineering analysis", "Research", "Design", "Testing", "Assessment activities", "Electronic systems evaluation", "Subsystem evaluation", "Component evaluation", "Electrical engineering principles", "Computer engineering principles", "Electronic engineering principles", "Optical engineering principles", "Power engineering principles", "Technical analyses production", "Engineering assessments production", "Microelectronics analysis", "Reverse engineering support", "Technical exploitation support", "System characterization support", "RF systems knowledge", "Electromagnetic technologies knowledge", "Electro-optical systems knowledge", "Infrared systems knowledge", "Software development experience" ], "hardSkills" : [ { "name" : "Electrical engineering analysis", "level" : "intermediate" }, { "name" : "Research", "level" : "intermediate" }, { "name" : "Design", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Assessment activities", "level" : "intermediate" }, { "name" : "Electronic systems evaluation", "level" : "intermediate" }, { "name" : "Subsystem evaluation", "level" : "intermediate" }, { "name" : "Component evaluation", "level" : "intermediate" }, { "name" : "Electrical engineering principles", "level" : "intermediate" }, { "name" : "Computer engineering principles", "level" : "intermediate" }, { "name" : "Electronic engineering principles", "level" : "intermediate" }, { "name" : "Optical engineering principles", "level" : "intermediate" }, { "name" : "Power engineering principles", "level" : "intermediate" }, { "name" : "Technical analyses production", "level" : "intermediate" }, { "name" : "Engineering assessments production", "level" : "intermediate" }, { "name" : "Microelectronics analysis", "level" : "intermediate" }, { "name" : "Reverse engineering support", "level" : "intermediate" }, { "name" : "Technical exploitation support", "level" : "intermediate" }, { "name" : "System characterization support", "level" : "intermediate" }, { "name" : "RF systems knowledge", "level" : "intermediate" }, { "name" : "Electromagnetic technologies knowledge", "level" : "intermediate" }, { "name" : "Electro-optical systems knowledge", "level" : "intermediate" }, { "name" : "Infrared systems knowledge", "level" : "intermediate" }, { "name" : "Software development experience", "level" : "intermediate" } ], "majorSkills" : "RF systems, Signal processing, Electronic systems, Technical analysis", "majorSkillsList" : [ "RF systems", "Signal processing", "Electronic systems", "Technical analysis" ], "coreResponsibilities" : "Support defense analytical requirements, Conduct reverse engineering analyses, Evaluate system performance, Analyze electronic hardware, Perform assessments of electromagnetic systems, Perform assessments of electro-optical systems, Perform assessments of infrared systems, Develop technical reports, Develop briefings, Develop analytical products, Support facility assessments, Support vulnerability analyses, Apply electrical engineering principles, Collaborate with multidisciplinary teams, Contribute to development of analytical approaches, Contribute to development of analytical methodologies", "teamCollaboration" : "Multidisciplinary teams", "domainKnowledge" : "Foreign electronic systems; Emerging technologies; National security; Radio frequency systems; Signal processing; Microelectronics; Sensors; Guidance and control systems; Advanced electronic technologies; Electromagnetic systems; Electro-optical systems; Infrared systems; Threat environments; Computer engineering; Electronic engineering; Optical engineering; Power engineering", "domainList" : [ "foreign-electronic-systems", "emerging-technologies", "national-security", "radio-frequency-systems", "signal-processing", "microelectronics", "sensors", "guidance-and-control-systems", "advanced-electronic-technologies", "electromagnetic-systems", "electro-optical-systems", "infrared-systems", "threat-environments", "computer-engineering", "electronic-engineering", "optical-engineering", "power-engineering" ], "domainSpecificKnowledge" : [ "Foreign electronic systems", "Emerging technologies", "National security", "Radio frequency systems", "Signal processing", "Microelectronics", "Sensors", "Guidance and control systems", "Advanced electronic technologies", "Electromagnetic systems", "Electro-optical systems", "Infrared systems", "Threat environments", "Computer engineering", "Electronic engineering", "Optical engineering", "Power engineering" ], "communicationSkills" : "Technical reports; Briefings; Analytical products", "documentationSkills" : "Technical reports; Analytical products", "innovationCreativity" : "Innovative analytical approaches; Innovative analytical methodologies", "problemSolvingSkills" : "Complex technical challenges", "specialRequirements" : "Active TS/SCI clearance, CI Polygraph", "qualificationsBasic" : "Active TS/SCI clearance, CI Polygraph, Bachelor's degree in Electrical Engineering, 8 years of experience, Evaluating electronic systems, Knowledge of electrical engineering principles, Producing technical analyses", "qualificationsPreferred" : "Analyzing complex foreign electronic systems, Microelectronics and advanced electronic hardware, Supporting reverse engineering, Knowledge of RF systems, Experience with software development, Digital signal processing, Signal detection theory", "remoteFriendly" : true, "rawDescription" : "Company Overview: ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service. Position Overview: ANSER is seeking an Electrical Engineer (RF/Signal Processing Engineer) to support advanced defense analysis efforts through scientific and engineering research, technical assessments, and system characterization activities. In this role, you will provide subject matter expertise on complex foreign electronic systems and emerging technologies, helping to assess capabilities, vulnerabilities, and operational impacts that inform national security decision-making. You will contribute to multidisciplinary analyses involving radio frequency (RF) systems, signal processing, microelectronics, sensors, guidance and control systems, and other advanced electronic technologies. Day-to-Day Responsibilities: Support defense analytical requirements through scientific and engineering research, technical assessments, and limitation analyses. Conduct reverse engineering analyses and technical characterizations of foreign electronic systems, subsystems, facilities, and equipment. Evaluate system performance, capabilities, vulnerabilities, and operational effectiveness of complex electronic technologies. Analyze electronic hardware, circuits, microelectronics, sensors, and associated subsystems to support intelligence and defense missions. Perform assessments of electromagnetic, electro-optical (EO), and infrared (IR) systems and their applications within current and emerging threat environments. Develop technical reports, briefings, and analytical products that communicate findings to government stakeholders and mission partners. Support facility assessments and vulnerability analyses related to foreign electronic systems and infrastructure. Apply electrical engineering principles across computer, electronic, optical, and power engineering disciplines to solve complex technical challenges. Collaborate with multidisciplinary teams to evaluate current and projected foreign technologies and their potential operational impacts. Contribute to the development of innovative analytical approaches and methodologies for assessing advanced electronic systems. Required Qualifications: Active TS/SCI clearance with Counterintelligence (CI) Polygraph. Bachelor's degree in Electrical Engineering or a related engineering discipline. Minimum of 8 years of experience performing electrical engineering analysis, research, design, testing, or assessment activities. Experience evaluating electronic systems, subsystems, or components in support of defense, intelligence, research, or engineering missions. Knowledge of electrical engineering principles and one or more related disciplines, including computer, electronic, optical, or power engineering. Experience producing technical analyses, reports, or engineering assessments for government, defense, or intelligence customers. Preferred Qualifications: Experience analyzing complex foreign electronic systems, subsystems, facilities, or equipment. Experience with microelectronics and advanced electronic hardware technologies. Experience supporting reverse engineering, technical exploitation, or system characterization efforts. Knowledge of radio frequency (RF) systems, electromagnetic technologies, electro-optical systems, or infrared systems. Experience with software development, digital signal processing, and signal detection theory. Ability to communicate complex technical concepts effectively to both technical and non-technical audiences. In compliance with the Americans with Disabilities Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with ANSER, please call 703-416-2000 or e-mail Recruiting@anser.org ANSER is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, color, gender, religion, national origin, ancestry, disability, age, veteran status, sexual orientation, or any other characteristic protected by law.", "summaryDescription" : "Electrical Engineer (RF/Signal Processing Engineer) at Analytic Services Inc. Skills: RF systems, Signal processing, Electronic systems, Technical analysis. Support defense analytical requirements. Conduct reverse engineering analyses", "postedDate" : "2026-06-14T04:34:21.684", "createdAt" : "2026-06-14T04:34:21.684", "lastUpdated" : "2026-06-15T08:28:54.808", "ingestTimestamp" : "2026-06-14T04:34:21.684", "mongoId" : "6a2c7f4e74d8ee00a0955131", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Electrical engineering analysis", "Research", "Design", "Testing", "Assessment activities", "Electronic systems evaluation", "Subsystem evaluation", "Component evaluation", "Electrical engineering principles", "Computer engineering principles", "Electronic engineering principles", "Optical engineering principles", "Power engineering principles", "Technical analyses production", "Engineering assessments production", "Microelectronics analysis", "Reverse engineering support", "Technical exploitation support", "System characterization support", "RF systems knowledge", "Electromagnetic technologies knowledge", "Electro-optical systems knowledge", "Infrared systems knowledge", "Software development experience", "RF systems", "Signal processing", "Electronic systems", "Technical analysis", "Scientific research", "Engineering research", "Technical assessments", "System characterization", "Reverse engineering", "Limitation analyses", "Vulnerability analyses", "Analytical approaches", "Analytical methodologies", "Foreign electronic systems", "Emerging technologies", "National security", "Radio frequency systems", "Microelectronics", "Sensors", "Guidance and control systems", "Advanced electronic technologies", "Electromagnetic systems", "Electro-optical systems", "Infrared systems", "Threat environments", "Computer engineering", "Electronic engineering", "Optical engineering", "Power engineering" ], "skillCount" : 53, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 387.4681, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2db14f74d8ee00a0c8583e", "title" : "Registered Nurse- Special Procedures Unit PRN", "company" : "LCMC Health", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Registered Nurse roles in the United States, adjusted for mid-seniority and the healthcare industry." }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-16T05:40:56.975", "fingerprint" : "2fd3f58fd4669a68211cd9c69a64164eb4d234138517b87f832a43a48c50b7cf", "source" : "workday", "language" : "en", "applyUrl" : "https://lcmchealth.wd1.myworkdayjobs.com/LCMCHealth/job/Lakeview-Hospital/Registered-Nurse--Special-Procedures-Unit-PRN_JR0036233", "externalId" : "JR0036233", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "remoteFriendly" : false, "rawDescription" : "Your job is more than a job. No one makes it happen like you. As a **Special Procedures Unit Registered Nurse** , you play a vital role in providing safe, compassionate care before, during, and after a variety of procedures. You’ll serve as the **primary or circulating nurse** for gastrointestinal (GI), cardiology, and other minor procedures, partnering closely with physicians, anesthesia providers, and multidisciplinary teams to deliver exceptional patient care. In this fast-paced environment, you’ll assess and prepare patients, provide education and emotional support, monitor patient safety throughout procedures, and coordinate care through recovery and discharge. Your specialized knowledge and critical thinking skills help ensure each patient receives high-quality, individualized care. Our Special Procedures Unit offers a Monday through Friday schedule, with participation in an on-call rotation. Whether assisting with endoscopic procedures, cardiac procedures, or other minimally invasive interventions, you’ll manage multiple priorities while responding confidently and compassionately to the unexpected. If you thrive in a collaborative environment, enjoy procedural nursing, and are passionate about delivering outstanding patient care, we’d love to have you join our team. **The Must-Haves** **Minimum:** Current nursing license to practice in Louisiana and as defined by the Louisiana State Board of Nursing. Current American Heart Association BLS certification. Current ACLS certification (WJMC & EJGH). Current Pals certification (CHNOLA) **WORK SHIFT:** Days (United States of America) **LCMC Health is a community.** Our people make health happen. While our NOLA roots run deep, our branches are the vessels that carry our mission of bringing the best possible care to every person and parish in Louisiana and beyond and put a little more heart and soul into healthcare along the way. Celebrating authenticity, originality, equity, inclusion and a little “come on in” attitude is the foundation of LCMC Health’s culture of everyday extraordinary. **Lakeview Hospital** , the center of LCMC Health’s extraordinary community of care on the Northshore, provides the only Level II trauma center in St. Tammany Parish. Along with our signature healthcare and wellness services, we continuously adopt the latest treatments, technologies, and medical innovations to better serve our patients. Learn more about Lakeview Hospital and our nationally recognized standards of excellence for heart, stroke, orthopedic, and women’s care. **Your extras** • Deliver healthcare with heart. • Give people a reason to smile. • Put a little love in your work. • Be honest and real, but with compassion. • Bring some lagniappe into everything you do. • Forget one-size-fits-all, think one-of-a-kind care. • See opportunities, not problems – it’s all about perspective. • Cheerlead ideas, differences, and each other. • Love what makes you, you - because we do. **You are welcome here.** LCMC Health is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. The above job summary is intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties and responsibilities. LCMC Health reserves the right to amend and change responsibilities to meet organizational needs as necessary. **Simple things make the difference.** 1\\. To get started, take your time to fully and accurately complete the application for employment. Incomplete applications get bogged down and are often eliminated due to missing information. 2\\. To ensure quality care and service, we may use information on your application to verify your previous employment and background. 3\\. To keep our career applications up-to-date, applications are inactive after 6 months and, therefore, require a new application for employment to be completed. 4\\. To expedite the hiring process, proof of citizenship or immigration status will be required to verify your lawful right to work in the United States.", "summaryDescription" : "Registered Nurse- Special Procedures Unit PRN at LCMC Health", "postedDate" : "2026-06-12T20:03:49.527", "createdAt" : "2026-06-14T20:03:49.491", "lastUpdated" : "2026-06-16T05:40:56.975", "ingestTimestamp" : "2026-06-14T20:03:49.491", "mongoId" : "6a2db14f74d8ee00a0c8583e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://lcmchealth.wd1.myworkdayjobs.com/LCMCHealth/job/Lakeview-Hospital/Registered-Nurse--Special-Procedures-Unit-PRN_JR0036233", "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 387.2079, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 34057, "totalPages" : 682, "hasNext" : true, "hasPrevious" : false } }

Conduct Deep Dive Analyses Of Mapped Processes And Procedures Jobs in Pune

Lansing Boys Varsity Swim and Dive

Senior Materials and Processes Engineer

Deep Learning Architect

Materials & Processes Engineer

Quantitative Researcher - Deep Learning

Specialist, Procurement Systems and Processes

Engineering Manager, Mapping Platform

Business Intelligence Engineer, EMXO PLX - Analytics and Science Team

Technicien ou Technicienne en analyses biomédicales aux laboratoires de cytogénétique hématologique - 80%

Senior Specialist, Procurement Systems and Processes

Sr. Program Manager, NA Standards & Procedures, Workplace Health and Safety - Compliance, Governance and External Affairs

Administrative Business Partner, Google Maps

[쿠팡] 프라이싱 운영 담당자 (Primary Mapping)

Procedures Controller

Staff Research Scientist, Localization and Mapping

Medical Assistant II- Special Procedures

Deep Learning Architect, Generative AI Innovation Center

Mapping Vehicle Operator

MAP Summer Associate (Summer 2027)

Materials & Processes Engineer

Deep Learning Architect, Generative AI Innovation Center

Staff Engineer, Deep Learning

Member of Technical Staff — Model Optimization and Inference (New Grad)

Deep Learning Architect, Generative AI Innovation Center

Scheduler Special Procedure

Ethics & Emp Conduct Advisor- HRD Division

Software Engineer – Map Fusion & Planning

Senior Deep Learning Architect, Generative AI Innovation Center

Engineering Manager, GenAI, Google Maps Immersive Navigation

National Consultant to conduct a comprehensive technical and participatory review of the draft National Health Strategy

Deep Learning Architect, Generative AI Innovation Center

Senior Deep Learning Architect, Generative AI Innovation Center

Senior Program Manager, TOM Product, Data and Program

EP Mapping Specialist - CAS

EP Mapping Specialist | In Training

EP Mapping Specialist | In Training

Pricing Operation (3p mapping) [L4]

Mapping City/Country Expert

Mapping City/Country Expert

ISE Compliance and Oversight Specialist

ISE Compliance and Oversight Generalist

Sr Risk Associate, Risk and Compliance Solutions

PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform

PhD Scholarship: Building Deep Debate Evidence Systems for Youth Crime Policy Reform

EDI Mapping Specialist - with e-invoicing (f/m/d)

Sr Deep Learning Architect, Generative AI Innovation Center

Process Specialist - Equipment Trainer

Director of Food & Beverage

Electrical Engineer (RF/Signal Processing Engineer)

Registered Nurse- Special Procedures Unit PRN

Common Questions