{ "count" : 23488, "data" : [ { "id" : "6a0a2ffb1663d49372bcf4d4", "title" : "APTPUO - Fall 2026 - EDU5253 - C00 - Theories of Learning Applied to Teaching", "company" : "APTPUO", "industry" : "education", "salary" : { "min" : 239.47, "max" : 239.47, "currency" : "USD", "frequency" : "yearly" }, "location" : "Ottawa, ON", "locations" : [ "Ottawa, ON", "Canada" ], "timestamp" : "2026-05-18T05:19:19.025", "fingerprint" : "3fa5bf06407856140638636430b5a5fde41371b92b2db335863c1d838b6366f3", "source" : "workday", "language" : "en", "applyUrl" : "https://uottawa.wd3.myworkdayjobs.com/uOttawa_External_Career_Site/job/Ottawa-ON/APTPUO---Fall-2026---EDU5253----C00---Theories-of-Learning-Applied-to-Teaching_JR34825", "externalId" : "JR34825", "industryFunction" : { }, "locationPoint" : "5.71842,-6.27466", "structuredLocations" : [ { "city" : "Ottawa", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Ottawa, Ontario, Canada", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "coreResponsibilities" : "Critical survey of theories of learning in historical and contemporary perspectives and their pedagogical implications for classroom practices.", "domainKnowledge" : "theories of learning; pedagogical implications", "domainList" : [ "theories-of-learning", "pedagogical-implications" ], "domainSpecificKnowledge" : [ "theories of learning", "pedagogical implications" ], "qualificationsBasic" : "PhD in education or a field of study related to the course, Publications in the field of study within the last 5 years, Expertise in this subject area, Experienced in e-learning", "remoteFriendly" : false, "rawDescription" : "**_Posting Reason:_** New Position ** _Location:_** Main Campus ** _Academic Period:_** 2026 Fall Semester _**Faculty:**_ Faculté d'éducation / Faculty of Education ** _Academic Unit:_** Études supérieures \\\\\\ Graduate Studies (Fac. Education) _**Course Title:**_ Theories of Learning Applied to Teaching _**Course Code:**_ EDU5253 _**Section:**_ C00 _**Course Description:**_ Critical survey of theories of learning in historical and contemporary perspectives and their pedagogical implications for classroom practices. _**Posting limited to:**_ Professeur à temps-partiel régulier / Regular Part-Time Professor _**Date Posted (YYYY/MM/DD):**_ 2026/05/15 _**Applications must be received******BEFORE******(YYYY/MM/DD):**_ 2026/06/16 _**Expected Enrolment:**_ 35 _**Approval date:**_ 2026/05/15 _**Number of credits:**_ 3 _**Work Hours:**_ 39 ** _Hourly Rate:_** Enseignement / Teaching: $239.47 (2024-2025) **The academic year starts on September 1 and ends on August 31.** **These rates do not included vacation pay nor statutory pay.** **These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.** _**Course type:**_ C _**Posting type:**_ Régulier / Regular _**Language of instruction:**_ Anglais | English _**Competence in second language:**_ Passive _**Course Schedule:**_ Mercredi | Wednesday 17:30-20:30 - - **_Requirements:_** PhD in education or a field of study related to the course Publications in the field of study within the last 5 years Expertise in this subject area Experienced in e-learning _**Additional Information and/or Comments:**_ An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click [here for the main unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-11/CA%20-%20APTPUO%20-%20Main%20Unit%20-%202021-2025.pdf), [here for the OLBI unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-07/CA%20-%20APTPUO%20ILOB%20-%202021-2025.pdf), or [here for the Toronto/Windsor unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-07/CA%20-%20APTPUO%20-%20TorWin%20-%202021-2025.pdf) to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact [vra.affairesprofessorales@uottawa.ca](mailto:vra.affairesprofessorales@uottawa.ca) to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.", "summaryDescription" : "APTPUO - Fall 2026 - EDU5253 - C00 - Theories of Learning Applied to Teaching at APTPUO. 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You can read about our culture principles here. We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of Guild’s people managers — helping you know what to expect from your experience here. If you are an Internal Candidate, please apply via our Internal Job Board. ---- *Please note this hybrid role is based in our Denver, CO office. Through our Denver Density program, you'll be on site three days a week with fellow Denver locals as we aim to foster collaboration and connection. Relocation assistance is available for qualified candidates interested in moving to Denver.* As an Applied Learning Manager at Guild, you lead strategic programs and workstreams that bring Guild's Applied Learning offering to life for employer partners through the Navigator product experience - translating employer workforce needs, priorities, and desired outcomes into learner and administrator experiences that deliver a strong ROI and outcomes for Guild. You collaborate closely with a range of Internal Guild teams to ensure that design is completed and requirements gathered to set Employer Partners' programs up for successful implementation and delivery, with the goal of accelerating Guild's mission and expanding Guild's market. You independently manage external partner relationships at an appropriate level of complexity and visibility, proactively identify issues and solutions across accounts and content areas, and spearhead the cross-functional coordination that advances Applied Learning. You serve as a key source of insight for the team and the broader function — leveraging deep expertise across employers to identify patterns, generate strategic recommendations, and shape how Guild's solution, processes, and tools evolve. Key Responsibilities: Customer Needs Translation understand employer processes deeply (e.g., clinical placements, hiring workflows, compliance requirements) Serve as the primary owner of relevant employer relationships for Applied learning, leading review cycles of milestones and tasks, incorporating modifications, and securing approvals Conduct research on target roles as necessary to inform content design and ensure Applied Learning offerings deliver on their promised value Earn external partner trust and increase their satisfaction through partnership support, surfacing key insights, and executing on initiatives that make Guild a valuable partner Ongoing Content iterate rapidly based on employer feedback Monitor performance to drive outcomes of Navigator programs to surface critical insights for EPS Account Managers and own improvements in line with Employer Expectations Playbook Development identify and lead opportunities to improve the quality, consistency, and efficiency of the team's work Coach and develop team members on the team, providing regular feedback on work quality, model strong partner engagement practices, support career development conversations, and contribute to team onboarding Product Development represent Applied Learning in cross-functional strategic conversations Strategic Project Leadership Support Director in setting and leading team priorities, ways of working, and driving strategic projects to ensure high-quality delivery of Applied Learning cross-functionally Own implementation of strategic initiatives that support the growth and scalability of Applied Learning, expand AL offerings, and promote AL awareness Qualifications: You are a strong fit if you: Are a strong relationship builder who can own relationships from employer stakeholders to internal support specialists and learners Are a strong communicator, able to deliver simplicity on the other side of complexity, with excellent writing and content design skills Have experience across content development, product operations, and customer implementation Can get smart quickly on new-to-you topics, from healthcare career pathways to payment system configurations Are deeply well-versed in education technology, learning experience design, or workforce development programs Are excited about a zero-to-something environment that is fast-paced and iterative, with an \"all hands on deck\" and \"no task too small\" culture Want to wear many different hats - from strategic content architecture to tactical system configuration Set an example for others on quality, attention to detail, efficiency, and execution Are situationally adaptable, thriving in ambiguity and capable of juggling competing priorities Have an unrelenting growth mindset, with eagerness and ability to learn and teach new things Possess strong attention to detail, systems thinking, and technical aptitude for working in admin tools Are a heavy user of AI and excited to develop AI-focused scaling processes as a core part of the role Preferred: Are deeply well-versed in education technology, learning experience design, or workforce development programs Are interested in evolving toward Product Management or Design, eager to build skills in user research, product strategy, and tool development by working at the intersection of operations and product Have some familiarity with the industries where our Navigator product operates - whether that's healthcare (and can think alongside clinical leaders on workforce and career pathway challenges) or frontline industries like distribution, fulfillment, manufacturing, or workforce redeployment programs where upskilling trades workers is the core opportunity We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $100,000 - $125,000 PLUS variable (bonus) compensation eligibility and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity. Posting Date: June 15, 2026 *This role will stay open for a minimum of 3 days. Guild partners with the country’s most innovative employers, including Chipotle, Target, Walgreens, JPMorgan Chase, Hilton, Spectrum, PepsiCo, Tyson, and more, to build the talent needed for today and a resilient workforce for tomorrow. Guild helps employers identify, develop, and mobilize internal talent, enabling workers to gain skills for in-demand roles and companies to stay agile. By connecting employees to real-world learning, coaching, and career support, and providing companies with actionable talent insights, Guild transforms all talent into high-impact contributors and positions companies for long-term, sustainable growth. For more information, visit https://www.guild.com. Guild is a female-founded, certified B Corp. The company has been recognized by Fortune’s Change the World list (2021, 2025), the Forbes Cloud 100 (2020–2025), Great Place to Work (2022–2025), CNBC’s Disruptor 50 (2021–2024), TIME’s 100 Most Influential Companies (2022), Inc.’s Best-Led Companies (2021), Fast Company’s World Changing Ideas (2020), and B Lab’s Best for the World (2019), among many others. Guild is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let your recruiter know. We currently offer the following benefits: Access to low-cost, high-quality health care options through Collective Health and Kaiser (due to coverage limitations, Kaiser is currently only available in CA 2-week ramp-up period for when employees return from a leave of 6 weeks or more; as well as employer-paid short-term and long-term disability, employer-sponsored life insurance, fertility and caregiving benefits. Well-rounded wellness benefits including free and low cost mental health resources and financial wellbeing support services Education benefits and tuition assistance to help your future development and growth Our home and headquarters in Denver, but some of our roles allow for remote work, allowing us to reach the best talent across the US. Please refer to the job location referenced below the job posting title to determine location. Roles based outside of our Denver office can sit in any of the following 32 states: AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI and Washington D. C. State locations and specifics are subject to change as our hiring requirements shift. PRIVACY NOTICE I understand that I am applying for employment with Guild and am being asked to provide information in connection with my application. I further understand that Guild gathers this information through a third-party service provider and that Guild may use other service providers to assist in the application process. Guild may share my information with such third-party service providers in connection with my application and for the start of employment. I understand and agree to Guild's use of my information in accordance with Guild's Privacy Policy and, for applicants that are residents of the State of California, Guild's Applicant Privacy Notice and California Notice at Collection.", "summaryDescription" : "Applied Learning Manager at Guild. Skills: Product strategy, Roadmap, User stories. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-15T23:15:33.601", "createdAt" : "2026-06-15T23:15:33.601", "lastUpdated" : "2026-06-16T07:54:56.094", "ingestTimestamp" : "2026-06-15T23:15:33.601", "mongoId" : "6a305124f292fd229cefafc1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Roadmap planning" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305815f292fd229cf40284", "title" : "Design Intern (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 18.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Colorado-Denver", "locations" : [ "United States-Colorado-Denver" ], "timestamp" : "2026-06-16T07:16:22.314", "fingerprint" : "9da6f0e12fb5c220210881542c57c3f9a3493d8abe7106b52e49422506271630", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784854", "externalId" : "784854", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Offer real-world experience on exciting projects, Perform assignments under direct supervision, Participate in architectural design process, Develop alternative solutions, Develop presentation graphics, Follow through on design development drawings, Follow through on design development models, Collaborate with production staff for technical details, Collaborate with production staff for completion of construction, Perform other duties as needed", "domainKnowledge" : "Architectural design", "domainList" : [ "architectural-design" ], "domainSpecificKnowledge" : [ "Architectural design" ], "continuousLearning" : "Mentoring programs", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA", "qualificationsPreferred" : "Demonstrated knowledge of software packages related to field of study/industry", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. In the role of Design Intern (Fall 2026) Offer real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Perform assignments under the direct supervision of an Architect, Project Manager, or other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to client or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Perform other duties as needed Preferred Qualifications 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Colorado: %2418 - %2430", "summaryDescription" : "Design Intern (Fall 2026) at HDR. Offer real-world experience on exciting projects. Perform assignments under direct supervision", "createdAt" : "2026-06-15T23:09:19.623", "lastUpdated" : "2026-06-16T07:16:22.314", "ingestTimestamp" : "2026-06-15T23:09:19.623", "mongoId" : "6a305815f292fd229cf40284", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Architectural design" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Architecture & Planning", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0a2ffb1663d49372bcf4d1", "title" : "APTPUO - Fall 2026 - EDU5253 - DA00 - Theories of Learning Applied to Teaching", "company" : "APTPUO", "industry" : "education", "salary" : { "min" : 239.47, "max" : 239.47, "currency" : "USD", "frequency" : "yearly" }, "location" : "Ottawa, ON", "locations" : [ "Ottawa, ON", "Canada" ], "timestamp" : "2026-05-18T04:50:19.399", "fingerprint" : "d2e8516cc59db737a9a4762962ecbabc969a35c4609da4ea86a7dd2e41351e32", "source" : "workday", "language" : "en", "applyUrl" : "https://uottawa.wd3.myworkdayjobs.com/uOttawa_External_Career_Site/job/Ottawa-ON/APTPUO---Fall-2026---EDU5253----DA00---Theories-of-Learning-Applied-to-Teaching_JR34827", "externalId" : "JR34827", "industryFunction" : { }, "locationPoint" : "5.71842,-6.27466", "structuredLocations" : [ { "city" : "Ottawa", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Ottawa, Ontario, Canada", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "coreResponsibilities" : "Critical survey of theories of learning in historical and contemporary perspectives and their pedagogical implications for classroom practices.", "domainKnowledge" : "theories of learning; pedagogical implications", "domainList" : [ "theories-of-learning", "pedagogical-implications" ], "domainSpecificKnowledge" : [ "theories of learning", "pedagogical implications" ], "qualificationsBasic" : "PhD in education or a field of study related to the course, Publications in the field of study within the last 5 years, Expertise in this subject area, Experienced in e-learning", "remoteFriendly" : false, "rawDescription" : "**_Posting Reason:_** New Position ** _Location:_** Main Campus ** _Academic Period:_** 2026 Fall Semester _**Faculty:**_ Faculté d'éducation / Faculty of Education ** _Academic Unit:_** Études supérieures \\\\\\ Graduate Studies (Fac. Education) _**Course Title:**_ Theories of Learning Applied to Teaching _**Course Code:**_ EDU5253 _**Section:**_ DA00 _**Course Description:**_ Critical survey of theories of learning in historical and contemporary perspectives and their pedagogical implications for classroom practices. _**Posting limited to:**_ Professeur à temps-partiel régulier / Regular Part-Time Professor _**Date Posted (YYYY/MM/DD):**_ 2026/05/15 _**Applications must be received******BEFORE******(YYYY/MM/DD):**_ 2026/06/16 _**Expected Enrolment:**_ 35 _**Approval date:**_ 2026/05/15 _**Number of credits:**_ 3 _**Work Hours:**_ 39 ** _Hourly Rate:_** Enseignement / Teaching: $239.47 (2024-2025) **The academic year starts on September 1 and ends on August 31.** **These rates do not included vacation pay nor statutory pay.** **These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.** _**Course type:**_ C _**Posting type:**_ Régulier / Regular _**Language of instruction:**_ Anglais | English _**Competence in second language:**_ Passive _**Course Schedule:**_ \\- - - IN: Asynchronous web-based course ** _Requirements:_** PhD in education or a field of study related to the course Publications in the field of study within the last 5 years Expertise in this subject area Experienced in e-learning _**Additional Information and/or Comments:**_ An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click [here for the main unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-11/CA%20-%20APTPUO%20-%20Main%20Unit%20-%202021-2025.pdf), [here for the OLBI unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-07/CA%20-%20APTPUO%20ILOB%20-%202021-2025.pdf), or [here for the Toronto/Windsor unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-07/CA%20-%20APTPUO%20-%20TorWin%20-%202021-2025.pdf) to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact [vra.affairesprofessorales@uottawa.ca](mailto:vra.affairesprofessorales@uottawa.ca) to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.", "summaryDescription" : "APTPUO - Fall 2026 - EDU5253 - DA00 - Theories of Learning Applied to Teaching at APTPUO. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Applied Aerodynamics Team Without the Aerodynamics team, the Zipline drones would not fly! This team is responsible for the aerodynamic performance of the aircraft, from high-level aeronautical considerations down to the detailed surface design. We work on everything from the body and propellers to vehicle dynamics and aeroacoustics, and in order to ensure our product is successful we collaborate strongly with almost every other engineering team, including GNC, structures, mechanical integration, avionics, perception, systems, weather and others. The Role As an intern in the Aerodynamics Team you can expect to work on any one of our current open projects alongside our world-class aerodynamicists and aeronautical engineers, both learning from their experience and bringing your own perspective to the tasks. This is an opportunity to test the skills and knowledge you’ve learned at school in a practical and fast-paced environment, where we leverage our understanding of physics to solve real problems. You will learn to use a variety of tools - from low fidelity calculations, through CFD simulation to experimental analysis - to help drive the design of our current and future products forward. What You'll Do Vehicle design analysis including aerodynamics, propulsion, and power system performance. Low- and high-fidelity analytical modeling of vehicle subsystems and behaviors Aerodynamic database generation and building analysis of flight behaviors Experiment planning, execution and data analysis, from wind tunnels to flight tests Support multidisciplinary team including controls, mechanical, production, software, and electrical engineers to tackle design challenges and resolve time-sensitive issues What You'll Bring You will be studying one or more of the following areas: fluid mechanics, aerodynamics, flight physics, aeronautical engineering, acoustics. A strong understanding of the technical content of these courses is the most valuable asset you will bring, and will help you exercise good engineering judgment. Understanding and experience with any of the following toolsets is advantageous. If you have not used the tool before, we’ll teach you to use it where needed. Continuum- or Lattice Boltzmann-based computational fluid dynamics, such as STAR-CCM+, Fluent, OpenFOAM, or PowerFLOW Wind tunnel test identification, planning, execution, troubleshooting, and data analysis using a variety of electro-mechanical and optical diagnostic techniques Flight test planning for system identification and simulation validation, cross functional planning, test execution, and data analysis MATLAB, Python, Rust, or similar software tools CAD advanced surfacing tools, such as CATIA or NX To be maximally effective we will need you to work in our head office in South San Francisco. For certain testing programs, limited travel (within California) may be required. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Fall 2026 interns from September to December. Candidates are limited to three (3) applications within a 30-day period. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.", "summaryDescription" : "Aerodynamics Intern (Fall 2026) at Zipline", "postedDate" : "2026-06-14T19:14:35.837", "createdAt" : "2026-06-14T19:14:35.837", "lastUpdated" : "2026-06-16T04:30:23.376", "ingestTimestamp" : "2026-06-14T19:14:35.837", "mongoId" : "6a2cdb9174d8ee00a0a50eb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 64000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a31ef292fd229c12326f", "title" : "Supplier Industrialization Engineer Intern (Fall 2026)", "company" : "Peak Energy", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in the Energy industry in Burlingame, CA, adjusted for company size and seniority." }, "location" : "865 Hinckley Rd, Burlingame, CA 94010", "locations" : [ "865 Hinckley Rd", "Burlingame", "CA 94010" ], "timestamp" : "2026-06-16T15:18:23.967", "fingerprint" : "8e64ce553459f3001770a1df7804c7406a2c339371ce18655d4a0b535ba1e8fd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://peakenergy.com/get-in-touch/careers/jobs?job_id=5165279007&gh_jid=5165279007", "externalId" : "5165279007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Burlingame", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5780965,-122.3473099" } ], "locationText" : "Burlingame, California, United States", "employmentType" : "INTERNSHIP", "rawDescription" : "Peak Energy  Job Title: Supplier Industrialization Engineer Intern (Fall 2026) Location: Burlingame, CA  Department: Supply Chain  Reports To: Senior Manager, ESS Industrialization confident humility. Take ownership and accountability. Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making. Be a Good Person - Kindness, collaboration and teamwork. Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you’re excited about this role but your experience doesn’t look perfect on paper, we still want to hear from you. Compensation & Benefits The hourly rate for this role is $30/hour. Join us to thrive in a supportive environment while making a meaningful impact in the energy sector! At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company’s full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.", "summaryDescription" : "Supplier Industrialization Engineer Intern (Fall 2026) at Peak Energy", "postedDate" : "2026-06-16T03:16:44.595", "createdAt" : "2026-06-16T03:16:44.595", "lastUpdated" : "2026-06-16T15:18:23.967", "ingestTimestamp" : "2026-06-16T03:16:44.595", "mongoId" : "6a30a31ef292fd229c12326f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056b8f292fd229cf2d856", "title" : "Research Intern, Model Shaping (Fall 2026)", "company" : "Together AI", "industry" : "Technology", "salary" : { "min" : 58.0, "max" : 63.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T07:26:50.070", "fingerprint" : "e4dc2fb62c643e2265bdeab4011cb0b574f16e93ad62f543515ad85b7cd99a80", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/togetherai/jobs/5157661007", "externalId" : "5157661007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Amsterdam, North Holland, Netherlands; San Francisco, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "rawDescription" : "About The Role As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Integrate the research results into Together products Requirements Currently pursuing a Bachelor's, Master's, or Ph. D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements Prior research experience with training foundation models or efficient machine learning Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP) Understanding of model optimization techniques and hardware acceleration approaches Contributions to open-source machine learning projects Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th and this role will be located in our San Francisco or Amsterdam office. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, SWARM Parallelism, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy", "summaryDescription" : "Research Intern, Model Shaping (Fall 2026) at Together AI", "postedDate" : "2026-06-15T23:17:19.842", "createdAt" : "2026-06-15T23:17:19.842", "lastUpdated" : "2026-06-16T07:26:50.070", "ingestTimestamp" : "2026-06-15T23:17:19.842", "mongoId" : "6a3056b8f292fd229cf2d856", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120640, "salaryAnnualMax" : 131040, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10ac70f0b99d58e7bafa", "title" : "Applied Scientist, Central Machine Learning", "company" : "ADCI", "industry" : "Machine Learning Science, Applied Science, Retail", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Applied Scientist in the Technology industry in Bengaluru, India, adjusted for mid-level experience and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T23:17:20.895", "fingerprint" : "6987622b59c260174f697498df953c5ae29ad396334adaf7c4cb65fe98a95010", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3104970/apply", "externalId" : "121e1ad3-18b1-48ee-adb4-0b2f22a1a76a", "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" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, C++, Python, EMR, Spark, Elasticsearch, Hadoop, Pig, Hive, Large language models, NLP, Computer Vision, Classification models", "professionalSkills" : [ "Predictive learning", "Model development", "Model validation", "Data analysis" ], "hardSkillsList" : [ "Machine learning", "Statistical techniques", "Algorithmic systems", "Data modeling", "Scalable solutions", "Data analysis", "Predictive learning", "ML approaches", "Real-time model implementation", "Business operations optimization", "Automated processes", "Data analyses", "Model validation", "Model implementation", "ML techniques" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Algorithmic systems", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Scalable solutions", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Predictive learning", "level" : "intermediate" }, { "name" : "ML approaches", "level" : "intermediate" }, { "name" : "Real-time model implementation", "level" : "intermediate" }, { "name" : "Business operations optimization", "level" : "intermediate" }, { "name" : "Automated processes", "level" : "intermediate" }, { "name" : "Data analyses", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model implementation", "level" : "intermediate" }, { "name" : "ML techniques", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Data science, Statistical modeling", "majorSkillsList" : [ "Machine learning", "Data science", "Statistical modeling" ], "coreResponsibilities" : "Use machine learning and analytical techniques, Create scalable solutions for business problems, Analyze and extract information from data, Automate and optimize key processes, Design, development, evaluate and deploy models, Implement novel machine learning and statistical approaches, Drive real-time model implementations, Create new features, Optimize business operations, Establish scalable, efficient, automated processes, Develop statistical and ML models, Prepare presentations", "teamCollaboration" : "Work closely with software engineering teams; Work closely with business owners; Work closely with operations staff; Collaboration with other Scientists; Collaboration with Engineers; Collaboration with Product Managers", "domainKnowledge" : "Business problems; Business data; Business operations", "domainList" : [ "business-problems", "business-data", "business-operations" ], "domainSpecificKnowledge" : [ "Business problems", "Business data", "Business operations" ], "communicationSkills" : "Verbal presentations; Written presentations", "innovationCreativity" : "Innovate and simplify; Build solutions to challenging problems", "problemSolvingSkills" : "Solve real-world problems; Generate insights and opportunities", "outcomesObjectives" : "Provide better value to customers; Optimize millions of transactions; Solve real world problems; Directly impact profitability; Create impact for Emerging Marketplaces; Direct impact on millions of consumers", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "PhD preferred, Experience in large scale distributed systems, Experience in LLMs, Experience in NLP, Experience in Computer Vision, Experience in Classification models using Boosting/Bagging or Deep Neural Networks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the team Central Machine Learning team works closely with the IES business and engineering teams in building ML solutions that create an impact for Emerging Marketplaces. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on millions of consumers and end users. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Proficient in any two of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. 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" : "Applied Scientist, Central Machine Learning at ADCI. Skills: Machine learning, Data science, Statistical modeling. Use machine learning and analytical techniques. Create scalable solutions for business problems", "postedDate" : "2026-06-14T20:31:25.129", "createdAt" : "2026-06-14T20:31:25.129", "lastUpdated" : "2026-06-15T23:17:20.895", "ingestTimestamp" : "2026-06-14T20:31:25.129", "mongoId" : "68ed10ac70f0b99d58e7bafa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3104970/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning", "Statistical techniques", "Algorithmic systems", "Data modeling", "Scalable solutions", "Data analysis", "Predictive learning", "ML approaches", "Real-time model implementation", "Business operations optimization", "Automated processes", "Data analyses", "Model validation", "Model implementation", "ML techniques", "Data science", "Statistical modeling", "Model development", "Business problems", "Business data", "Business operations" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c901e74d8ee00a097f5ba", "title" : "Product Strategy Intern - Fall 2026", "company" : "RF-SMART", "industry" : "Technology", "salary" : { "min" : 41000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Product Strategy Intern in Jacksonville, United States, adjusted for the SaaS industry and internship employment type." }, "location" : "Jacksonville, Florida, United States", "locations" : [ "Jacksonville", "Florida", "United States" ], "timestamp" : "2026-06-16T07:09:47.566", "fingerprint" : "e74c7ad45c056b575f84a155ae69f134ace1ee9fb1d11ec72467efa326e34872", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/rfsmart/jobs/5235928008", "externalId" : "5235928008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jacksonville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.3262247,-81.6579179" } ], "locationText" : "Jacksonville, Florida, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "hardSkillsList" : [ "Data management" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Market research, Data analysis, Strategic planning", "majorSkillsList" : [ "Product strategy", "Market research", "Data analysis", "Strategic planning" ], "coreResponsibilities" : "Support product initiatives, Conduct market research, Perform data analysis, Engage in strategic planning", "domainKnowledge" : "Supply chain technology", "domainList" : [ "supply-chain-technology" ], "domainSpecificKnowledge" : [ "Supply chain technology" ], "continuousLearning" : "Gain hands-on experience", "qualificationsBasic" : "Enrolled in a degree program, Junior or Senior by credit hours, Available to work 15-20 hours per week, Eligible to work in the United States", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Product Strategy Intern - Fall 2026 US East Office (Jacksonville, FL) We exist to transform our customers and change lives Who We’re Looking For We are seeking a motivated Product Strategy Intern to join our Product Strategy & Management team. The Product Strategy Intern will join our NetSuite team to support product initiatives, market research, data analysis and strategic planning activities. This role offers a unique opportunity to gain hands-on experience in software product management while working alongside experienced professionals in the supply chain technology sector. What You Bring: To be eligible for the RF-SMART Summer Internship Program, students must meet the following requirements: Enrolled in a degree program at the time of the internship Considered a Junior or Senior by credit hours Available to work 15-20 hours per week in our headquarters in Jacksonville, FL Eligible to work in the United States of America for any employer without the need for future sponsorship Strong skills in data management Why You’ll Love It Here: The RF-SMART Internship Program exists to partner with students to equip them with the skills they need to become successful professionals while they complete meaningful work at RF-SMART, while supporting our mission of transforming our customers and changing lives. Our Talent Acquisition Team will review all applications and reach out to qualified candidates with next steps. Employer does not sponsor applicants for employment visa status (e. g. H-1B visa status). General Information: The above noted job description is not intended to be an exhaustive list of all duties and responsibilities that may be assigned, but rather to give a general sense of the responsibilities and expectations of the job. As the nature of business demands change so, too, may the essential functions of this specific position and/or the skills and abilities required. RF-SMART is an Equal Employment Opportunity (EEO) employer. A Word From Our CEO - Watch Now", "summaryDescription" : "Product Strategy Intern - Fall 2026 at RF-SMART. Skills: Product strategy, Market research, Data analysis, Strategic planning. Support product initiatives. Conduct market research", "postedDate" : "2026-06-14T20:06:40.393", "createdAt" : "2026-06-14T20:06:40.393", "lastUpdated" : "2026-06-16T07:09:47.566", "ingestTimestamp" : "2026-06-14T20:06:40.393", "mongoId" : "6a2c901e74d8ee00a097f5ba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data management", "Product strategy", "Market research", "Data analysis", "Strategic planning", "Supply chain technology" ], "skillCount" : 6, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7f3374d8ee00a0954caf", "title" : "People Operations Intern (Fall 2026)", "company" : "StackAdapt", "industry" : "Technology", "salary" : { "min" : 18.0, "max" : 22.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T04:59:01.016", "fingerprint" : "5a7fa3cba43a9c96db895d9aa06b05853d45358a917dd43718de0517f136a286", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/stackadapt-confidential/jobs/4280872009", "externalId" : "4280872009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Personal integrity", "Confidentiality" ], "hardSkillsList" : [ "Data entry", "Data audits", "ATS management", "HRIS management", "Excel", "Google Sheets", "VLOOKUPs", "Pivot tables" ], "softSkillsList" : [ "Independent work" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Data audits", "level" : "intermediate" }, { "name" : "ATS management", "level" : "intermediate" }, { "name" : "HRIS management", "level" : "intermediate" }, { "name" : "Excel", "level" : "intermediate" }, { "name" : "Google Sheets", "level" : "intermediate" }, { "name" : "VLOOKUPs", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent work" } ], "majorSkills" : "Talent management, HR processes, Employee relations, Organizational development", "majorSkillsList" : [ "Talent management", "HR processes", "Employee relations", "Organizational development" ], "coreResponsibilities" : "Provide administrative support, Schedule interviews, Manage talent workflows, Onboard employees in HRIS, Submit tickets, Respond to employee questions, Route requests, Prepare employment documents, Maintain digital files, Track company policy updates, Assist with work authorizations, Perform data entry, Conduct routine audits, Update People Technology stack", "teamCollaboration" : "Talent and People Operations team; Global Mobility team", "domainKnowledge" : "Employee lifecycle; Global mobility; Talent acquisition; HRIS systems; ATS systems", "domainList" : [ "employee-lifecycle", "global-mobility", "talent-acquisition", "hris-systems", "ats-systems" ], "domainSpecificKnowledge" : [ "Employee lifecycle", "Global mobility", "Talent acquisition", "HRIS systems", "ATS systems" ], "toolProficiency" : [ "Greenhouse", "UKG", "Excel", "Google Sheets" ], "communicationSkills" : "Written communication; Verbal communication; Meeting notes; Draft guides", "documentationSkills" : "Step-by-step guides", "continuousLearning" : "Build automated forms; Build workflows", "problemSolvingSkills" : "Data accuracy; Process efficiency; User-friendly processes", "qualificationsBasic" : "Currently enrolled in post-secondary program", "qualificationsPreferred" : "Preference for Human Resources or related field, Proficiency in Excel/Google Sheets, Interest in learning systems, Willingness to learn automated forms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are looking for a People Operations Intern to provide administrative support across our Talent and People Operations team. Reporting to the Manager, Global Mobility, you will play a key role in keeping our team organized, our data accurate, and our hiring process running smoothly. This is a great opportunity for someone who enjoys the details—you’ll balance core coordination tasks with projects aimed at making our internal processes more efficient and user-friendly. StackAdapt is a remote-first company. We are open to candidates located anywhere in Canada for this position and encourage those from all backgrounds to apply. What you’ll be doing: Provide broad administrative support across the employee lifecycle, including interview scheduling, managing talent workflows in the ATS (Greenhouse), onboarding in the HRIS, submitting tickets and other administrative support. Monitor the People Operations, People Technology and Global Mobility mailboxes, responding to general employee questions and routing requests as needed. Prepare standard employment documents, such as verification letters, and maintain organized digital files for the team. Support the tracking of company policy updates and assist with the basic administrative tasks required for work authorizations. Perform regular data entry and routine audits within the HRIS (UKG) to ensure all employee information remains accurate and consistent. System updates across the People Technology stack. Other duties as assigned What You’ll Bring to the Table: Must be currently enrolled in a post-secondary program, with a strong preference for Human Resources or a related field. Strong written and verbal communication, ability to take meeting notes and help draft step-by-step guides for team tasks. Proficiency in Excel/Google Sheets skills (pivots, VLOOKUPs) is advantageous. Demonstrates a high degree of personal integrity and an understanding of the importance of keeping employee information confidential. Strong attention to detail and accuracy for compliance-heavy tasks, data audits and reporting. Comfortable working independently and taking initiative. An interest in learning how systems work together and a willingness to learn how to build automated forms and workflows. The compensation range listed for this role reflects the expected hourly rate for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. This range represents hourly rate only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package. Factors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer. Ontario Hourly Band $18—$22 CAD StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign’s Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work® #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising", "summaryDescription" : "People Operations Intern (Fall 2026) at StackAdapt. Skills: Talent management, HR processes, Employee relations, Organizational development. Provide administrative support. Schedule interviews", "postedDate" : "2026-06-14T20:03:02.746", "createdAt" : "2026-06-14T20:03:02.746", "lastUpdated" : "2026-06-16T04:59:01.016", "ingestTimestamp" : "2026-06-14T20:03:02.746", "mongoId" : "6a2c7f3374d8ee00a0954caf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data entry", "Data audits", "ATS management", "HRIS management", "Excel", "Google Sheets", "VLOOKUPs", "Pivot tables", "Independent work", "Talent management", "HR processes", "Employee relations", "Organizational development", "Personal integrity", "Confidentiality", "Employee lifecycle", "Global mobility", "Talent acquisition", "HRIS systems", "ATS systems", "Greenhouse", "UKG" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a31ef292fd229c123258", "title" : "Global Supply Chain Management Intern (Fall 2026)", "company" : "Peak Energy", "salary" : { "min" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "865 Hinckley Rd, Burlingame, CA 94010", "locations" : [ "865 Hinckley Rd", "Burlingame", "CA 94010" ], "timestamp" : "2026-06-16T11:41:56.596", "fingerprint" : "bbc04f548617d3b288b6c2909105e4c46983d39cde635b590893f4d5f75e0d84", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://peakenergy.com/get-in-touch/careers/jobs?job_id=5165301007&gh_jid=5165301007", "externalId" : "5165301007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Burlingame", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5780965,-122.3473099" } ], "locationText" : "Burlingame, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "rawDescription" : "Peak Energy  Job Title: Global Supply Chain Management Intern (Fall 2026) Location: Burlingame, CA  Department: Supply Chain  Reports To: Senior Manager, ESS Industrialization proficient in Excel and/or data analysis tools Interest in clean tech, energy storage, and/or domestic manufacturing policy Excellent communication and collaboration abilities Self-starter with a willingness to dive into ambiguity and solve problems Prior internship or project experience in supply chain, operations, or procurement is a plus What You’ll Gain: Exposure to building a supply chain from scratch for an innovative ESS product Hands-on experience with supplier strategy, sourcing, and logistics in a high-growth startup environment Mentorship from experienced supply chain leaders working at the intersection of energy and manufacturing A chance to work on meaningful projects that directly contribute to the energy transition Our Core Values Speed Through Focus - Move fast but understand why. Focus on the goal, don't sacrifice quality. Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability. Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making. Be a Good Person - Kindness, collaboration and teamwork. Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you’re excited about this role but your experience doesn’t look perfect on paper, we still want to hear from you. Compensation & Benefits The hourly rate for this role is $30/hour. Join us to thrive in a supportive environment while making a meaningful impact in the energy sector! At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company’s full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.", "summaryDescription" : "Global Supply Chain Management Intern (Fall 2026) at Peak Energy", "postedDate" : "2026-06-16T03:16:55.390", "createdAt" : "2026-06-16T03:16:55.390", "lastUpdated" : "2026-06-16T11:41:56.596", "ingestTimestamp" : "2026-06-16T03:16:55.390", "mongoId" : "6a30a31ef292fd229c123258", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe99", "title" : "2026 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning)", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, studentprograms", "salary" : { "min" : 65.0, "max" : 107.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:59:44.852", "fingerprint" : "d9bc2f5a28dbd10103bdb337b1d4cde39238a2f6d123ab4089ebae3b51e08e5d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051006/apply", "externalId" : "022be1fe-bf03-4920-9103-42ef8c109fe0", "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", "minimumEducation" : "PhD", "technicalSkills" : "Java, C++, Python, Optimization, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised Learning, Unsupervised Learning, Deep Learning, Predictive Modeling", "professionalSkills" : [ "Applied science", "Machine learning", "Data science", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ML algorithms", "Modeling techniques", "Research problems", "Scalable algorithms", "Data analyses", "Model development", "Model validation", "Model implementation" ], "hardSkillsList" : [ "Bayesian optimization", "Multi-armed bandits", "Statistical modeling", "Graph models", "Deep reinforcement learning", "Supervised learning", "Semi-supervised learning", "Unsupervised learning", "Advanced statistical modeling", "Graph models", "Predictive modeling", "Scalable algorithms", "Modeling techniques", "RL algorithms", "Data analyses", "Model development", "Model validation", "Model implementation" ], "softSkillsList" : [ "Critical thinking", "Effective communication" ], "hardSkills" : [ { "name" : "Bayesian optimization", "level" : "intermediate" }, { "name" : "Multi-armed bandits", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Graph models", "level" : "intermediate" }, { "name" : "Deep reinforcement learning", "level" : "intermediate" }, { "name" : "Supervised learning", "level" : "intermediate" }, { "name" : "Semi-supervised learning", "level" : "intermediate" }, { "name" : "Unsupervised learning", "level" : "intermediate" }, { "name" : "Advanced statistical modeling", "level" : "intermediate" }, { "name" : "Graph models", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Scalable algorithms", "level" : "intermediate" }, { "name" : "Modeling techniques", "level" : "intermediate" }, { "name" : "RL algorithms", "level" : "intermediate" }, { "name" : "Data analyses", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Effective communication" } ], "majorSkills" : "Reinforcement Learning, Optimization, Machine Learning, Deep Learning", "majorSkillsList" : [ "Reinforcement Learning", "Optimization", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Conduct research into theory and application of deep, Propose and deploy solutions, Develop and implement novel, scalable algorithms, Develop and implement modeling techniques, Tackle challenging, groundbreaking research problems, Develop novel RL algorithms, Apply RL algorithms to complex, real-world challenges, Develop scalable, efficient, automated processes for data analyses, Develop scalable, efficient, automated processes for model development, Develop scalable, efficient, automated processes for model validation, Develop scalable, efficient, automated processes for model implementation, Design, development and evaluation of highly innovative ML, Research and apply the latest ML techniques, Research and apply the latest ML best practices, Think about customers, Improve the customer delivery experience, Use analytical techniques to create scalable solutions", "teamCollaboration" : "Work with product managers; Work with scientists; Work with software engineers; Work alongside global experts; Work collaboratively with diverse groups; Work with cross-functional teams", "domainKnowledge" : "Reinforcement Learning; Optimization; Machine Learning; Bayesian optimization; Time series; Multi-armed bandits; Supervised learning; Semi-supervised learning; Unsupervised learning; Advanced statistical modeling; Graph models; Deep learning; Predictive modeling; Large Language Models", "domainList" : [ "reinforcement-learning", "optimization", "machine-learning", "bayesian-optimization", "time-series", "multi-armed-bandits", "supervised-learning", "semi-supervised-learning", "unsupervised-learning", "advanced-statistical-modeling", "graph-models", "deep-learning", "predictive-modeling", "large-language-models" ], "domainSpecificKnowledge" : [ "Reinforcement Learning", "Optimization", "Machine Learning", "Bayesian optimization", "Time series", "Multi-armed bandits", "Supervised learning", "Semi-supervised learning", "Unsupervised learning", "Advanced statistical modeling", "Graph models", "Deep learning", "Predictive modeling", "Large Language Models" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Learn; Grow", "innovationCreativity" : "Boundary-pushing; Revolutionary theory; Awe-inspiring reality; Innovation; Bold ideas", "problemSolvingSkills" : "Solve complex business problems; Solve complex business problems", "outcomesObjectives" : "Advance the state-of-the-art; Shape the future of AI; Propel humanity forward; Leave an indelible mark on the world of technology", "qualificationsBasic" : "Enrolled in a PhD, 18 years of age or older, Work 40 hours/week minimum, Commit to 12 week internship maximum, Can relocate to where the internship is based, Experience programming in Java, C++, Python or related language, Experience with Optimization, Experience with Programming/Scripting Languages, Experience with Statistics, Experience with Reinforcement Learning, Experience with Causal Inference, Experience with Large Language Models, Experience with Time Series, Experience with Graph Modeling, Experience with Supervised/Unsupervised Learning, Experience with Deep Learning, Experience with Predictive Modeling", "qualificationsPreferred" : "Publications at top-tier peer-reviewed conferences or journals, Experience in state-of-the-art deep learning models architecture design, Deep learning training and optimization experience, Model pruning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Unlock the Future with Amazon Science! Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation – we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA. Key job responsibilities We are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. A day in the life - Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Design, development and evaluation of highly innovative ML models for solving complex business problems. - Research and apply the latest ML techniques and best practices from both academia and industry. - Think about customers and how to improve the customer delivery experience. - Use and analytical techniques to create scalable solutions for business problems. Basic Qualifications: - Are enrolled in a PhD - Are 18 years of age or older - Work 40 hours/week minimum and commit to 12 week internship maximum - Can relocate to where the internship is based - Experience programming in Java, C++, Python or related language - Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling Preferred Qualifications: - Have publications at top-tier peer-reviewed conferences or journals - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning 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 $65.38/hr in our lowest geographic market up to $107.40/hr 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" : "2026 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) at Amazon.com Services LLC. Skills: Reinforcement Learning, Optimization, Machine Learning, Deep Learning. Conduct research into theory and application of deep. 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Work with cross-functional teams; Seamless integration with hardware", "domainKnowledge" : "Autonomy at sea; Autonomous surface vessels; Maritime operations; Navigation algorithms; Sensor integration; Communication protocols; Real-time decision-making; Path planning; Object detection", "domainList" : [ "autonomy-at-sea", "autonomous-surface-vessels", "maritime-operations", "navigation-algorithms", "sensor-integration", "communication-protocols", "real-time-decision-making", "path-planning", "object-detection" ], "domainSpecificKnowledge" : [ "Autonomy at sea", "Autonomous surface vessels", "Maritime operations", "Navigation algorithms", "Sensor integration", "Communication protocols", "Real-time decision-making", "Path planning", "Object detection" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Design specifications; User manuals; Test plans", "continuousLearning" : "Mentored by experienced engineers", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "specialRequirements" : "Full-time in office presence, Physical demands", "qualificationsBasic" : "Currently enrolled in Bachelor's or Master's program, Programming skills in Python, C++, Typescript, Javascript, or Rust, Basic understanding of robotics principles, Basic understanding of autonomous systems, Basic understanding of sensor technologies, Analytical and problem-solving skills, Ability to work independently, Ability to work collaboratively, Full-time in office presence (40 hours/week), U.S. Person status required", "qualificationsPreferred" : "Master's program enrollment preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview We are seeking a motivated and talented Software Engineer Intern to work on real-world problems that contribute directly to the development of our autonomous surface vessels. You will gain hands-on experience in software development, testing, and integration, and work alongside experienced engineers to tackle complex challenges in autonomy, sensor fusion, and real-time processing. This internship is ideal for students pursuing Computer Science, Software Engineering, Electrical Engineering, and Computer Engineering, or a related field, and eager to make an impact in the defense tech industry. All interns will be supported and mentored by experienced Software Engineers. Responsibilities - Design, implement, and test software components for autonomous systems, including navigation algorithms, sensor integration, and communication protocols - Collaborate with the team to develop and optimize algorithms for real-time decision-making, path planning, and object detection - Assist in the development of testing frameworks and participate in hardware-in-the-loop (HIL) testing to validate software performance in simulated and real-world environments - Contribute to the creation of technical documentation, including design specifications, user manuals, and test plans - Work closely with cross-functional teams, including mechanical, electrical, and systems engineers, to ensure seamless integration of software with hardware components Qualifications - Currently enrolled in a Bachelor's or Master's program in Computer Science, Software Engineering, Electrical and Computer Engineering, or a related field - Programming skills in Python, C++, Typescript, Javascript, or Rust - Basic understanding of robotics principles, autonomous systems, and sensor technologies - Strong analytical and problem-solving skills - Ability to work independently and collaboratively in a fast-paced environment - This role requires full-time in office presence (40 hours/week) based at our headquarters in Austin, TX, from August through December Physical Demands - Prolonged periods of sitting at a desk and working on a computer - Occasional standing and walking within the office - Manual dexterity to operate a computer keyboard, mouse, and other office equipment - Visual acuity to read screens, documents, and reports - Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies - Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages) If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Software Engineer Intern (Fall 2026) at Saronic Technologies. Skills: Software development, Autonomous systems, Real-time processing. Design software components. Implement software components", "createdAt" : "2026-06-14T21:50:10.720", "lastUpdated" : "2026-06-16T06:49:43.856", "ingestTimestamp" : "2026-06-14T21:50:10.720", "mongoId" : "6a2ca05574d8ee00a09a1e77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Robotics principles", "Autonomous systems", "Sensor technologies", "Software development", "Real-time processing", "Problem-solving", "Analytical skills", "Autonomy at sea", "Autonomous surface vessels", "Maritime operations", "Navigation algorithms", "Sensor integration", "Communication protocols", "Real-time decision-making", "Path planning", "Object detection" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ccc1d74d8ee00a0a26825", "title" : "Structural Co-op (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 21.0, "max" : 31.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada-British Columbia-Vancouver", "locations" : [ "Canada-British Columbia-Vancouver" ], "timestamp" : "2026-06-15T22:58:28.604", "fingerprint" : "7695779f81f58699d8ff407567eea358ec22d2e92b4f642c4d1ae03139853454", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784535", "externalId" : "784535", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Steel structures, Concrete structures, Mass timber structures, Masonry structures", "professionalSkills" : [ "Engineering techniques", "Engineering procedures", "Design calculations" ], "hardSkillsList" : [ "Structural design" ], "hardSkills" : [ { "name" : "Structural design", "level" : "intermediate" } ], "majorSkills" : "Structural engineering, Building structures", "majorSkillsList" : [ "Structural engineering", "Building structures" ], "coreResponsibilities" : "Offer real-world experience, Connect with college graduates, Connect with company leaders, Apply standard engineering techniques, Apply standard engineering procedures, Perform assignments under supervision, Conduct supervised design calculations, Perform element design, Produce sketches, Produce drawings, Document review, Document interpretation, Participate in field reviews, Participate in field investigations, Prepare field reports", "teamCollaboration" : "Structural team; Subject matter experts", "domainKnowledge" : "Building structural systems; Steel structures; Concrete structures; Masonry structures", "domainList" : [ "building-structural-systems", "steel-structures", "concrete-structures", "masonry-structures" ], "domainSpecificKnowledge" : [ "Building structural systems", "Steel structures", "Concrete structures", "Masonry structures" ], "toolProficiency" : [ "Revit", "AutoCAD", "Bluebeam Revu", "SAP2000", "ETABS", "SAFE", "RISA3D", "RAM" ], "continuousLearning" : "Mentorship; Learning opportunities", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA, Knowledge of software packages, CAD software skills, Structural analytical program skills, Knowledge of engineering principles, Experience working with Engineering firm, Independent learner, Capable of quickly learning new skills, Successful working in a team environment, Keen observer, Attention to detail", "qualificationsPreferred" : "Revit, AutoCAD, Bluebeam Revu, SAP2000, ETABS, SAFE, RISA3D, RAM", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. HDR is currently seeking applications from dynamic and eager to learn engineering students for a four- or eight-month placement or longer at our downtown Vancouver office. In this role, the successful candidate will work on a large variety of projects associated with building structural systems for different building and non-building structures. The student will work concurrently on multiple projects that are in various stages of design and construction. This diverse array of projects and tasks will provide the student with excellent opportunities to learn about all aspects of the building engineering industry. HDR will also ensure that the successful candidate is well supported and put in a position to succeed. They will be working as an important member of our structural team, who will provide them with mentorship to support their growth and development. Additionally, the student will also have the opportunity to work with and learn from several of HDR's subject matter experts throughout the company. Job Responsibilities Responsibilities will vary in scope depending on project mix. In the role of Structural Co-op, we'll count on you to: Offer real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals' programs Apply standard engineering techniques and procedures Perform assignments under the direct supervision of a professional or Project Manager Conduct supervised design calculations and element design (with a focus on calculations associated with steel, concrete, mass timber and masonry structures). Produce sketches and drawings to communicate design concepts. Document review and interpretation to support construction activities. Participate in field reviews or investigations to support construction activities. Prepare field reports based on onsite observations. Perform other duties as needed Preferred Qualifications Prefer 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry Skilled in using CAD software's such as Revit, AutoCAD, and Bluebeam Revu. Skilled in using any structural analytical program like SAP2000, ETABS, SAFE, RISA3D, RAM, and similar apps Knowledge of engineering principles associated with building structural system for steel, concrete, and masonry structures Past experience working with an Engineering firm. Independent learner who is capable of quickly learning new skills. Successful working in a team environment. Keen observer with a strong attention to detail. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) The hourly pay range for Vancouver: %2421.00- %2431.00", "summaryDescription" : "Structural Co-op (Fall 2026) at HDR. Skills: Structural engineering, Building structures. Offer real-world experience. 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Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Masters or Ph. D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, developing, and evaluating frontier models, especially in the domain of agentic tasks and workflows Designing and curating datasets for frontier agents alignment and post-training Studying failure modes and developing safety paradigms for agentic behavior Research new recipes (for RL or test time scaling) for self-learning and long-context tasks completion Building agents that act on spoken input to carry out complex, multi-step tasks Developing ML infrastructure that can power agent operations at scale Internship Program Details Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $63 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. For more information about our privacy policy, please visit: https://www.together.ai/privacy", "summaryDescription" : "Frontier Agents Intern (Fall 2026) at Together AI", "postedDate" : "2026-06-14T20:06:43.530", "createdAt" : "2026-06-14T20:06:43.530", "lastUpdated" : "2026-06-16T01:44:50.431", "ingestTimestamp" : "2026-06-14T20:06:43.530", "mongoId" : "6a2c962374d8ee00a098eb70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120640, "salaryAnnualMax" : 131040, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305382f292fd229cf132de", "title" : "Materials Science Division Undergraduate Intern - Fall 2026", "company" : "LLNL", "industry" : "Research", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the United States, adjusted for the high cost of living in the Livermore, CA area and the specific industry." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T07:45:43.293", "fingerprint" : "bcc0f8d04806e9b5078b47561a7b3a61fab7e21e1556aab0147e257e5d402fd3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013626030-materials-science-division-undergraduate-intern-fall-2026", "externalId" : "3743990013626030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "remoteFriendly" : false, "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have multiple openings for undergraduate students to engage in practical research experience to further their educational goals. Opportunities include conducting research in the following scientific fields: organic/inorganic synthesis, analytical, computational, materials characterization, actinide materials, optical materials science; electrochemistry; materials chemistry and physics; computational chemistry and materials science; nanoscale materials synthesis and characterization and metallurgy. These positions are in the Materials Science Division and part of the Materials and Chemistry Institute. You will * Work with scientists on projects involving hands-on work in a laboratory, computation, or data analysis. * Participate in research under close supervision in assigned area. * Gather and analyze the data or information in support of scientific research. * Presenting work through presentations. * Perform other duties as assigned. ## Qualifications * Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details. * Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in chemistry, materials sciences, computational chemistry, or related field. * Ability to apply basic engineering, scientific, or physics principles to solve technical problems. * Demonstrated effective communication skills. * Ability to present and communicate concepts and ideas. * Experience working with personal computers and familiarity with Word, Excel and PowerPoint. * Ability to work in a team environment. Qualifications We Desire * Knowledge of chemistry and materials. * GPA of 3.0 or above. ## Additional Information All your information will be kept confidential according to EEO guidelines. Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Holiday Pay * Sick leave accrual * Individual 401(k) contributions * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Materials Science Division Undergraduate Intern - Fall 2026 at LLNL", "postedDate" : "2026-06-15T18:27:29.000", "createdAt" : "2026-06-15T21:56:41.142", "lastUpdated" : "2026-06-16T07:45:43.293", "ingestTimestamp" : "2026-06-15T21:56:41.142", "mongoId" : "6a305382f292fd229cf132de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 24000, "salaryAnnualMax" : 36000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305342f292fd229cf11fc7", "title" : "Materials Science Division Undergraduate Intern - Fall 2026", "company" : "LLNL", "industry" : "Research", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the United States, adjusted for the specific location and industry." }, "location" : "Livermore, CA, United States", "locations" : [ "Livermore", "CA", "United States" ], "timestamp" : "2026-06-16T06:40:29.816", "fingerprint" : "8c8c3c32f76c7769a213ebb994db47c21d17104a0f995b8cec686f7011326efd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LLNL/3743990013626030-materials-science-division-undergraduate-intern-fall-2026", "externalId" : "3743990013626030", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Livermore", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6820583,-121.7680530" } ], "locationText" : "Livermore, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "remoteFriendly" : false, "rawDescription" : "Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have multiple openings for undergraduate students to engage in practical research experience to further their educational goals. Opportunities include conducting research in the following scientific fields: organic/inorganic synthesis, analytical, computational, materials characterization, actinide materials, optical materials science; electrochemistry; materials chemistry and physics; computational chemistry and materials science; nanoscale materials synthesis and characterization and metallurgy. These positions are in the Materials Science Division and part of the Materials and Chemistry Institute. You will * Work with scientists on projects involving hands-on work in a laboratory, computation, or data analysis. * Participate in research under close supervision in assigned area. * Gather and analyze the data or information in support of scientific research. * Presenting work through presentations. * Perform other duties as assigned. ## Qualifications * Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details. * Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in chemistry, materials sciences, computational chemistry, or related field. * Ability to apply basic engineering, scientific, or physics principles to solve technical problems. * Demonstrated effective communication skills. * Ability to present and communicate concepts and ideas. * Experience working with personal computers and familiarity with Word, Excel and PowerPoint. * Ability to work in a team environment. Qualifications We Desire * Knowledge of chemistry and materials. * GPA of 3.0 or above. ## Additional Information All your information will be kept confidential according to EEO guidelines. Why Lawrence Livermore National Laboratory? * Included in 2026 Best Places to Work by Glassdoor! * Holiday Pay * Sick leave accrual * Individual 401(k) contributions * Our values - visit [https://www.llnl.gov/inclusion/our-values](https://www.llnl.gov/diversity/our-values) Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our [online form](https://www.llnl.gov/join-our-team/careers/accessibility) to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed [here](https://www.llnl.gov/join-our-team/careers/privacy-statement).", "summaryDescription" : "Materials Science Division Undergraduate Intern - Fall 2026 at LLNL", "postedDate" : "2026-06-15T18:27:29.000", "createdAt" : "2026-06-15T21:56:29.848", "lastUpdated" : "2026-06-16T06:40:29.816", "ingestTimestamp" : "2026-06-15T21:56:29.848", "mongoId" : "6a305342f292fd229cf11fc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 20000, "salaryAnnualMax" : 30000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c654074d8ee00a08fcd60", "title" : "Development Intern - Fall 2026", "salary" : { "min" : 41000.0, "max" : 55000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Development Intern in Pittsburgh, adjusted for the technology industry." }, "location" : "Pittsburgh, PA", "locations" : [ "Pittsburgh, PA" ], "timestamp" : "2026-06-16T00:38:57.510", "fingerprint" : "78527023c8670e4836ff69d107eaf27067a0b5f20de9f4b1dc1bdb07e54938d4", "source" : "jazzhr", "language" : "en", "externalId" : "MeY79dIvgR", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Pittsburgh, Pennsylvania, United States", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "summaryDescription" : "Development Intern - Fall 2026", "createdAt" : "2026-06-14T18:47:16.711", "lastUpdated" : "2026-06-16T00:38:57.510", "ingestTimestamp" : "2026-06-14T18:47:16.711", "mongoId" : "6a2c654074d8ee00a08fcd60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41000, "salaryAnnualMax" : 55000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a16291b58b93c861e959dbd", "title" : "Design Co-op (Fall 2026)", "company" : "HDR", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level co-op positions in Canada, adjusted for London, Ontario's cost of living and the typical compensation for design roles in engineering and architecture firms." }, "location" : "Canada-Ontario-London", "locations" : [ "Canada-Ontario-London" ], "timestamp" : "2026-06-16T05:00:16.377", "fingerprint" : "a3c87dee383cbc9328b612cb317ed9d908e2c75b0118306ad9dfe6eb299b3dc3", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783814", "externalId" : "783814", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.9836747,-81.2496068" } ], "locationText" : "London, Ontario, Canada", "employmentType" : "FULL_TIME", "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Currently enrolled in undergraduate or graduate program, Attention to detail, Problem-solving skills, Communication skills, Basic Microsoft Office skills, Commitment to employee-owned culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Must be currently enrolled in an undergraduate or graduate program Attention to detail Must possess strong problem-solving and communication skills Basic Microsoft Office skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. Canada-Ontario-London", "summaryDescription" : "Design Co-op (Fall 2026) at HDR", "createdAt" : "2026-06-14T21:30:56.505", "lastUpdated" : "2026-06-16T05:00:16.377", "ingestTimestamp" : "2026-06-14T21:30:56.505", "mongoId" : "6a16291b58b93c861e959dbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a16291c58b93c861e959f59", "title" : "Traffic Co-op (Fall 2026)", "company" : "HDR", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline, entry seniority, and industry adjustments for an engineering co-op position in the United States." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:29:19.613", "fingerprint" : "a6085e86caa76707859ff8ecb196308c04cdfe6805c0cf7fedb6163ed3ce2d65", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=781996", "externalId" : "781996", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Undergraduate or graduate Engineering program enrollment, Attention to detail, Problem-solving skills, Communication skills, Basic Microsoft Office skills, Commitment to employee-owned culture", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Currently enrolled in an undergraduate or graduate Engineering program Attention to detail Possess strong problem-solving and communication skills Basic Microsoft Office skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. Canada-Ontario-Toronto", "summaryDescription" : "Traffic Co-op (Fall 2026) at HDR", "createdAt" : "2026-06-14T18:52:56.108", "lastUpdated" : "2026-06-16T02:29:19.613", "ingestTimestamp" : "2026-06-14T18:52:56.108", "mongoId" : "6a16291c58b93c861e959f59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2caff674d8ee00a09d8587", "title" : "Engineering Co-op — Fall 2026", "company" : "Mach Industries", "industry" : "Mach Vehicles", "salary" : { "min" : 1800.0, "max" : 2100.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Huntington Beach, CA", "locations" : [ "Huntington Beach, CA" ], "timestamp" : "2026-06-15T07:05:56.392", "fingerprint" : "ff347da6dc33d4b14300437d1ec9faa79f5575d244dbbffaf68d504819a38f5f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mach/021b2c1d-5257-4dea-b06d-0c445de44d28/application", "externalId" : "021b2c1d-5257-4dea-b06d-0c445de44d28", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huntington Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6783336,-118.0000160" } ], "locationText" : "Huntington Beach, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Systems integration" ], "majorSkills" : "Autonomous systems, Embedded firmware, Mechanical design, Propulsion systems, Systems integration", "majorSkillsList" : [ "Autonomous systems", "Embedded firmware", "Mechanical design", "Propulsion systems", "Systems integration" ], "coreResponsibilities" : "Develop autonomous systems software, Develop embedded firmware, Develop real-time software, Design mechanical components, Manufacture hardware components, Test hardware components, Develop propulsion systems, Develop energetics systems, Develop systems integration, Develop engineering tools, Develop engineering infrastructure, Develop engineering simulations", "domainKnowledge" : "Defense technology; National security; Autonomous systems; Guidance; Control; Navigation; Unmanned platforms; Flight systems; Drive systems; New defense platforms; Engineering velocity", "domainList" : [ "defense-technology", "national-security", "autonomous-systems", "guidance", "control", "navigation", "unmanned-platforms", "flight-systems", "drive-systems", "new-defense-platforms", "engineering-velocity" ], "domainSpecificKnowledge" : [ "Defense technology", "National security", "Autonomous systems", "Guidance", "Control", "Navigation", "Unmanned platforms", "Flight systems", "Drive systems", "New defense platforms", "Engineering velocity" ], "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Access to export-controlled information, E-Verify participant", "qualificationsBasic" : "Enrollment in BS, MS, or PhD program, Intellectual curiosity, Drive to own problems end-to-end, Genuine interest in defense technology", "qualificationsPreferred" : "Authorization to receive software or technology controlled under U.S. export control laws and regulations without sponsorship for an export license", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT MACH INDUSTRIES Founded in 2022, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 220 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. THE ROLE Mach's Fall 2026 — Engineering Co-op is open for future engineers and builders who want to work with us. Depending on your background and team placement, you might work on: - Autonomous systems — guidance, control, and navigation software for unmanned platforms - Embedded firmware and real-time software for flight and drive systems - Mechanical and structural design, manufacturing, and test of hardware components - Propulsion, energetics, or systems integration for new defense platforms - Tools, infrastructure, and simulations that accelerate engineering velocity WHAT WE'RE LOOKING FOR - Enrollment in a BS, MS, or PhD program in mechanical, aerospace, electrical, computer science, or a related engineering discipline - Intellectual curiosity and the drive to own problems end-to-end - Genuine interest in defense technology, national security, or the future of autonomous systems Disclosures This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license. Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach’s total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development. Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you’d like to defend the American way of life, please reach out!", "summaryDescription" : "Engineering Co-op — Fall 2026 at Mach Industries. Skills: Autonomous systems, Embedded firmware, Mechanical design, Propulsion systems, Systems integration. Develop autonomous systems software. Develop embedded firmware", "createdAt" : "2026-06-14T09:17:13.810", "lastUpdated" : "2026-06-15T07:05:56.392", "ingestTimestamp" : "2026-06-14T09:17:13.810", "mongoId" : "6a2caff674d8ee00a09d8587", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 1800, "salaryAnnualMax" : 2100, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Autonomous systems", "Embedded firmware", "Mechanical design", "Propulsion systems", "Systems integration", "Defense technology", "National security", "Guidance", "Control", "Navigation", "Unmanned platforms", "Flight systems", "Drive systems", "New defense platforms", "Engineering velocity" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30652af292fd229cfa5b7c", "title" : "Member of Technical Staff (Applied AI)", "company" : "APTURA", "industry" : "Engineering", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Member of Technical Staff (Applied AI) in London, United Kingdom, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T09:39:10.544", "fingerprint" : "cc59b175dda01eb188284805acd028fa591a6ba11d7067272e9d48a8ca5536f6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aptura/c299e1f2-cdb4-4842-b5f3-8aa6e57482e0/application", "externalId" : "c299e1f2-cdb4-4842-b5f3-8aa6e57482e0", "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" : "LLMs, RL", "professionalSkills" : [ "Agentic harnesses", "Evaluation design", "Synthetic data generation" ], "hardSkillsList" : [ "Prompting", "Verification logic", "Reward functions" ], "hardSkills" : [ { "name" : "Prompting", "level" : "intermediate" }, { "name" : "Verification logic", "level" : "intermediate" }, { "name" : "Reward functions", "level" : "intermediate" } ], "majorSkills" : "Applied AI, RL environments", "majorSkillsList" : [ "Applied AI", "RL environments" ], "coreResponsibilities" : "Build RL environments, Design tasks with golden answers, Design tasks with calibrated rubrics, Design tasks with programmatic reward signals, Write verification logic, Write reward functions, Translate professional workflows into structured tasks, Prototype new approaches to evaluation, Prototype new approaches to verification, Prototype new approaches to synthetic data generation", "teamCollaboration" : "Work with domain experts; Deep collaboration with domain experts", "domainKnowledge" : "Finance; Healthcare; Legal; LBO model; Clinical note; Professional workflows", "domainList" : [ "finance", "healthcare", "legal", "lbo-model", "clinical-note", "professional-workflows" ], "domainSpecificKnowledge" : [ "Finance", "Healthcare", "Legal", "LBO model", "Clinical note", "Professional workflows" ], "innovationCreativity" : "Prototype new approaches", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Practical experience building with LLMs, High agency and technically sharp, Comfortable working across very different contexts, Ship and iterate, Own problems end to end, Using LLMs as part of how you build", "qualificationsPreferred" : "Domain knowledge in finance, Domain knowledge in healthcare, Domain knowledge in legal, Familiarity with RL concepts, Familiarity with model training, Familiarity with post-training workflows, Cloud infrastructure experience (AWS or GCP), Previous startup experience, Early engineer experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT APTURA We build the evaluation datasets and RL environments that make AI reliable in domains where mistakes are expensive: finance, healthcare, and legal. Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries. We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you. ABOUT THE ROLE As a Member of Technical Staff on our Applied AI team, you will build the tasks and environments that AI labs use to train and evaluate their agents in finance, healthcare, and legal. Day to day, that looks like: constructing RL environments around spreadsheets, documents, and professional workflows. Writing verification logic and reward functions. Working with domain experts to scope what a correct answer actually looks like in an LBO model or a clinical note. Some days it's engineering, some days it's closer to research. The common thread is that you're producing the ground truth that frontier models get measured against. WHAT YOU'LL DO - Build RL environments across finance, healthcare, and legal domains - Assist in designing tasks with golden answers, calibrated rubrics, and programmatic reward signals - Write verification logic and reward functions that can distinguish good model outputs from bad ones - Work directly with domain experts (investment analysts, physicians, attorneys) to translate complex professional workflows into structured tasks - Prototype new approaches to evaluation, verification, and synthetic data generation WHO WE'RE LOOKING FOR - Practical experience building with LLMs: prompting, evaluation, and agentic harnesses. You've built things that actually run, not just notebooks. - High agency and technically sharp. You don't wait for permission, specs, or a roadmap. You see what needs doing, figure out how, and get it done. - Comfortable working across very different contexts. The job moves between engineering, evaluation design, and deep collaboration with domain experts often in the same day. - You ship and iterate. Small team, no room for work that sits in review. Bias toward getting something working, learning from it, and improving it. - You own problems end to end, from scoping with a domain expert through to a working environment. If you prefer clearly partitioned tickets, this probably isn't the right fit. - Already using LLMs as part of how you build, not just as the thing you're building for. NICE TO HAVE - Domain knowledge in finance, healthcare, or legal - Familiarity with RL concepts, model training, and post-training workflows - Cloud infrastructure experience (AWS or GCP) - Previous startup experience, especially as an early engineer", "summaryDescription" : "Member of Technical Staff (Applied AI) at APTURA. Skills: Applied AI, RL environments. Build RL environments. Design tasks with golden answers", "createdAt" : "2026-06-16T00:27:58.106", "lastUpdated" : "2026-06-16T09:39:10.544", "ingestTimestamp" : "2026-06-16T00:27:58.106", "mongoId" : "6a30652af292fd229cfa5b7c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Prompting", "Verification logic", "Reward functions", "Applied AI", "RL environments", "Agentic harnesses", "Evaluation design", "Synthetic data generation", "Finance", "Healthcare", "Legal", "LBO model", "Clinical note", "Professional workflows" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ccc1d74d8ee00a0a26823", "title" : "Civil Co-op (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 21.0, "max" : 31.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada-Ontario-Toronto", "locations" : [ "Canada-Ontario-Toronto" ], "timestamp" : "2026-06-15T09:45:57.917", "fingerprint" : "9fb3b655e5b5ae0497badfff0eff7c85780e82daeff676f64378ba451c0373b3", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784761", "externalId" : "784761", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Civil Engineering", "professionalSkills" : [ "Site studies", "Site designs", "Contract documentation", "Graphic presentation", "Site layout", "Utility layout", "Drainage design", "Project management" ], "hardSkillsList" : [ "Engineering techniques", "Engineering procedures" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Engineering techniques", "level" : "intermediate" }, { "name" : "Engineering procedures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Site-Civil Design", "majorSkillsList" : [ "Site-Civil Design" ], "coreResponsibilities" : "Gain real-world experience, Connect with graduates and leaders, Apply standard engineering techniques, Assist with site studies, Assist with site designs, Assist with contract documentation preparation, Assist with graphic presentation, Perform overall site layout, Perform grading, Perform utility layout, Perform drainage, Perform administrative duties, Perform assignments under supervision, Perform other duties", "teamCollaboration" : "Site-Civil team; Subject matter experts", "domainKnowledge" : "Building engineering; Site-civil projects; Digital age infrastructure", "domainList" : [ "building-engineering", "site-civil-projects", "digital-age-infrastructure" ], "domainSpecificKnowledge" : [ "Building engineering", "Site-civil projects", "Digital age infrastructure" ], "toolProficiency" : [ "Bluebeam Revu", "MicroStation", "AutoCAD", "Bentley Concept Station", "Autodesk Infraworks", "Civil 3D", "Openflows" ], "documentationSkills" : "Contract documentation", "continuousLearning" : "Mentorship programme", "innovationCreativity" : "Novel ideas", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA", "qualificationsPreferred" : "Past Co-op experience, Familiarity with Bluebeam Revu, Familiarity with MicroStation, Familiarity with AutoCAD, Familiarity with Bentley Concept Station, Familiarity with Autodesk Infraworks, Familiarity with Civil 3D, Familiarity with specialty civil platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. HDR is currently seeking applications from dynamic and eager to learn engineering students for a four- or eight-month placement or longer at our downtown Toronto office. In this role, the successful candidate will work on a large variety of projects associated with site-civil projects for different building and non-building facilities. The student will work concurrently on multiple projects that are in various stages of design and construction. This diverse array of projects and tasks will provide the student with excellent opportunities to learn about all aspects of the building engineering industry. HDR will also ensure that the successful candidate is well supported and put in a position to succeed. They will be working as an important member of our Site-Civil team, who will provide them with mentorship to support their growth and development. Additionally, the student will also have the opportunity to work with and learn from several of HDR's subject matter experts throughout the company. Job Responsibilities Responsibilities will vary in scope depending on project mix. In the role of Civil Co-op, we'll count on you to: Gain real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Apply standard engineering techniques and procedures Assist the Senior/Intermediate Engineer with: Site studies, site designs, contract documentation preparation and graphic presentation Perform overall site layout, grading, utility layout and drainage Perform administrative duties associated with project management for civil/site projects Perform assignments under the direct supervision of a professional or Project Manager Perform other duties as needed Preferred Qualifications Prefer 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry Familiarity with Bluebeam Revu, MicroStation and/or AutoCAD Familiarity with civil engineering software such as Bentley Concept Station and/or Autodesk Infraworks and Civil 3D; specialty civil platforms (e.g. Openflows) will considered a plus Past and related Co-op experience woking with an Engineering firm is a plus. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) The hourly pay range for Ontario: %2421.00- %2431.00", "summaryDescription" : "Civil Co-op (Fall 2026) at HDR. Skills: Site-Civil Design. Gain real-world experience. Connect with graduates and leaders", "createdAt" : "2026-06-14T08:51:12.744", "lastUpdated" : "2026-06-15T09:45:57.917", "ingestTimestamp" : "2026-06-14T08:51:12.744", "mongoId" : "6a2ccc1d74d8ee00a0a26823", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Engineering techniques", "Engineering procedures", "Mentorship", "Site-Civil Design", "Site studies", "Site designs", "Contract documentation", "Graphic presentation", "Site layout", "Utility layout", "Drainage design", "Project management", "Building engineering", "Site-civil projects", "Digital age infrastructure", "Bluebeam Revu", "MicroStation", "AutoCAD", "Bentley Concept Station", "Autodesk Infraworks", "Civil 3D", "Openflows" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca5eb74d8ee00a09b8a90", "title" : "Detection Development Intern, Fall 2026", "company" : "Coveo", "industry" : "Cybersecurity", "salary" : { "min" : 41000.0, "max" : 55000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Montreal, Canada, adjusted for the SaaS industry." }, "location" : "Montréal, Quebec, Canada", "locations" : [ "Montréal", "Quebec", "Canada" ], "timestamp" : "2026-06-15T07:10:50.067", "fingerprint" : "0d619d245342d9b3db43b02e0c6acc0729325d113907c9a321d78d91263ce35d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coveo.com/en/company/careers/open-positions?gh_jid=8577229002", "externalId" : "8577229002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montréal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montréal, Quebec, Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SaaS, Cloud, XSIAM, AWS, Cortex XDR", "professionalSkills" : [ "Threat detection", "Security monitoring", "Incident response", "Detection engineering" ], "hardSkillsList" : [ "Build detection rules", "Tune detection rules", "Analyze logs", "Analyze telemetry" ], "softSkillsList" : [ "Curious", "Analytical thinking" ], "hardSkills" : [ { "name" : "Build detection rules", "level" : "intermediate" }, { "name" : "Tune detection rules", "level" : "intermediate" }, { "name" : "Analyze logs", "level" : "intermediate" }, { "name" : "Analyze telemetry", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Analytical thinking" } ], "majorSkills" : "Threat detection, Detection engineering, Security monitoring", "majorSkillsList" : [ "Threat detection", "Detection engineering", "Security monitoring" ], "coreResponsibilities" : "Participate in daily stand-ups, Collaborate with team members, Build detection rules, Tune detection rules, Research service abuse, Analyze logs, Analyze security telemetry, Take active role in discussions, Share your thinking, Ask questions, Receive feedback, Develop your skills, Draw on coach's expertise, Watch best practices, Learn best practices, Apply best practices", "teamCollaboration" : "Collaborate with team members; Daily stand-up meetings", "domainKnowledge" : "Enterprise security; SaaS platforms; Infrastructure footprint; Threat actors; User activity; System behavior; Security events", "domainList" : [ "enterprise-security", "saas-platforms", "infrastructure-footprint", "threat-actors", "user-activity", "system-behavior", "security-events" ], "domainSpecificKnowledge" : [ "Enterprise security", "SaaS platforms", "Infrastructure footprint", "Threat actors", "User activity", "System behavior", "Security events" ], "toolProficiency" : [ "XSIAM", "Cortex XDR" ], "communicationSkills" : "Share thinking; Ask questions; Receive feedback", "continuousLearning" : "Hands-on experience; Gain experience; Develop your skills; Draw on expertise; Watch and learn", "problemSolvingSkills" : "Analytical approach; Technical skills", "specialRequirements" : "Present at office 2 days/week", "outcomesObjectives" : "Strengthen detection coverage; Expand detection capabilities", "qualificationsBasic" : "Studying Software Engineering, Studying Computer Science, Available full-time 15 weeks, Legally entitled to work in Canada", "qualificationsPreferred" : "Familiarity with SIEM, Familiarity with security tooling, Participated in CTF competitions, Personal projects", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "What does it take to detect real threats across a large SaaS environment? Are you curious about how enterprise security teams identify suspicious activity, build detections, and improve visibility across modern cloud and Software as a Service (SaaS) platforms? Coveo is looking for a Detection Engineering Intern to join our Security Operations Center (SOC) team. Your mission? Help us strengthen our detection coverage by building and tuning threat detection rules for the technologies that support Coveo’s production environment. The SOC team plays a key role in protecting Coveo by monitoring security activity, investigating alerts, and continuously improving our ability to detect threats across our SaaS and infrastructure footprint. As an intern, you’ll contribute to initiatives that expand our detection capabilities while gaining hands-on experience with real enterprise threat detection tools in a production environment. Your impact, day to day: Participate in daily stand-up meetings to discuss progress, roadblocks, and priorities. Collaborate with team members to ensure alignment and effective communication. Build and tune detection rules in XSIAM for different technologies, SaaS platforms, and log sources. Research how services and tools could be abused by threat actors in order to identify realistic detection opportunities. Contribute to detection coverage for platforms such as 1Password, AWS, Cortex XDR logs, and other more. Analyze logs and security telemetry to better understand user activity, system behavior, and potential indicators of suspicious activity. Take an active role in discussions around detection quality. Share your thinking, ask questions, and receive feedback to strengthen your analytical approach and technical skills. Develop your skills by drawing on your coach’s expertise. Watch, learn, and apply best practices used in security monitoring, threat detection, and detection engineering. The Essentials: You are currently studying Software Engineering or Computer Science in a Bachelors degree or higher in the province of Québec. You can be present at the office at least two days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work. You are available to work full-time for 15 weeks and are legally entitled to do so in Canada. Think you've got what it takes? Let's see! You are curious, eager to learn, and motivated to understand how security tools and systems work. You are able to think analytically and consider the broader context behind security events, instead of focusing only on isolated details. You have an interest in threat detection, security monitoring, incident response, or detection engineering. You have some familiarity with security information and event management (SIEM), core concepts of security tooling. You have participated in some Capture The Flag competitions and/or have a few personal projects. You have a strong sense of ownership and are proud of what you create. Join the Coveolife! Do you think you can bring this role to life? Send us your application, we want to hear from you! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.", "summaryDescription" : "Detection Development Intern, Fall 2026 at Coveo. Skills: Threat detection, Detection engineering, Security monitoring. Participate in daily stand-ups. Collaborate with team members", "postedDate" : "2026-06-14T03:53:54.965", "createdAt" : "2026-06-14T03:53:54.965", "lastUpdated" : "2026-06-15T07:10:50.067", "ingestTimestamp" : "2026-06-14T03:53:54.965", "mongoId" : "6a2ca5eb74d8ee00a09b8a90", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Build detection rules", "Tune detection rules", "Analyze logs", "Analyze telemetry", "Curious", "Analytical thinking", "Threat detection", "Detection engineering", "Security monitoring", "Incident response", "Enterprise security", "SaaS platforms", "Infrastructure footprint", "Threat actors", "User activity", "System behavior", "Security events", "XSIAM", "Cortex XDR" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051e4f292fd229cf0882d", "title" : "June 2026 Machine Learning Intern (R&D)", "company" : "Phamily", "salary" : { "min" : 50000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Machine Learning Intern in the US, adjusted for the healthcare industry and a mid-sized company in Ohio." }, "location" : "Ohio, United States", "locations" : [ "Ohio", "United States" ], "timestamp" : "2026-06-16T08:57:10.824", "fingerprint" : "e954f61ccaf02db6f024f7b63520f9489ca781d0ad583c4aecafe452c2505613", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/jobsatphamily/jobs/5263024008", "externalId" : "5263024008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ohio", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ohio, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "rawDescription" : "Machine Learning Intern (R every employee at Jaan Health must embody growth company DNA. This means you have proven success in a high-performing environment: high velocity, strong ownership, comfort with ambiguity, resilience, and a true growth mindset. You are both a playbook builder and executor, able to design scalable approaches for today while anticipating what the business will need tomorrow, and then follow through to deliver results. Our culture is built on five principles that shape how we work, lead, and grow: • Care: We put patients, clients, teammates, and outcomes first. • Curiosity: We ask better questions, challenge assumptions, and keep learning. • Clarity: We simplify complexity, communicate directly, and create alignment. • Co-Creation: We collaborate across teams, perspectives, and disciplines. • Craftsmanship: We execute with excellence, ownership, and continuous improvement. What You’ll Gain Through this internship, you will gain: • Work on high-impact, real-world AI problems in healthcare • Own projects that go from research ideas → deployed systems • Collaborate with a fast-moving, product-driven ML team • Real-world experience in a fast-paced, high-growth environment • Exposure to executive leaders and cross-functional teams • Mentorship and professional development support • Experience solving real business challenges • Stronger communication, collaboration, and problem-solving skills • Opportunity to build confidence, ownership, and business acumen • A collaborative, mission-driven team helping transform healthcare at scale If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You’ll join a smart, humble, and collaborative team dedicated to improving healthcare. Equal Employment Opportunity Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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Your primary function is to nurture marketing leads through email and other channels, as well as to maintain all data accurately in CRM (NetSuite). You will join a team of marketing professionals focused on transforming more Customers and changing more lives. The intern will be reporting to the Jacksonville, FL office. Details of the Internship: Duration: 8/17/2026 - 12/11/2026 Hours: 20-25 hours/week Pay: $20 per hour What You'll Do: Demand Generation & Prospecting Support sales revenue goals by executing demand generation campaigns across multiple outreach channels Research and identify potential customers by analyzing target industries, company profiles, and key decision-makers to build qualified prospect lists Initiate outreach to prospective customers through email, phone, and LinkedIn, crafting personalized messaging that speaks to their specific business challenges Support inbound and outbound lead generation efforts to determine fit against RF-SMART's ideal customer profile (ICP) Assist in developing outreach sequences and cadences that improve response rates and move prospects through the funnel Lead Nurturing & Relationship Building Build trusted relationships with prospective customers through consistent, thoughtful communication across the full nurture cycle Monitor prospect engagement signals — email opens, content downloads, website activity — and use those insights to time and tailor follow-up outreach Support the team in moving marketing-qualified leads (MQLs) toward sales-qualified leads (SQLs) through strategic touchpoints Learn and apply sales strategies and techniques to better understand prospect pain points and position RF-SMART's value effectively CRM & Data Management Maintain accurate, up-to-date records of all prospect interactions, activities, and pipeline status within CRM Ensure data integrity across contact records, account information, and lead statuses to support reliable reporting Assist in identifying and cleaning duplicate, outdated, or incomplete records to improve overall database quality Collaboration & Professional Development Work closely with the Marketing and Sales teams to align outreach efforts with active campaigns and messaging initiatives Participate in team meetings, sales calls, and training sessions to deepen your understanding of the full sales cycle Contribute ideas and feedback on prospecting strategies, messaging, and tools as you develop your skills What You Bring: Strong written communication skills with a keen eye for detail Excellent interpersonal, presentation, and phone skills Proficiency in Microsoft Office applications Ability to work independently, prioritize effectively, and meet deadlines Creative, energetic, and highly organized with strong time management skills Currently enrolled in a degree program and classified as a Junior or Senior by credit hours Employer does not sponsor applicants for employment visa status (e. g. H-1B visa status). General Information: The above noted job description is not intended to be an exhaustive list of all duties and responsibilities that may be assigned, but rather to give a general sense of the responsibilities and expectations of the job. As the nature of business demands change so, too, may the essential functions of this specific position and/or the skills and abilities required. RF-SMART is an Equal Employment Opportunity (EEO) employer. A Word From Our CEO - Watch Now", "summaryDescription" : "Business Development Intern - Fall 2026 at RF-SMART. Skills: Demand generation, Lead nurturing, CRM management. Support sales revenue goals. Execute demand generation campaigns", "postedDate" : "2026-06-14T02:13:02.076", "createdAt" : "2026-06-14T02:13:02.076", "lastUpdated" : "2026-06-15T06:49:34.077", "ingestTimestamp" : "2026-06-14T02:13:02.076", "mongoId" : "6a2c901e74d8ee00a097f5af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Email outreach", "Phone outreach", "LinkedIn outreach", "Demand generation", "Lead nurturing", "CRM management", "Sales revenue goals", "Prospecting strategies", "Sales strategies", "Sales cycle", "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Ideal customer profile", "NetSuite", "Microsoft Office" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a95f292fd229c03da19", "title" : "Chief of Staff to the CEO", "company" : "Top Shelf Collective", "industry" : "Retail", "salary" : { "min" : 2000000.0, "max" : 3500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Chief of Staff in Manila, Philippines, adjusted for the retail industry and a top-tier company." }, "location" : "Manila, Manila, Philippines", "locations" : [ "Manila", "Manila", "Philippines" ], "timestamp" : "2026-06-16T11:00:19.579", "fingerprint" : "1c85fdaa2fe01fa3d5aa7729f71af041beb4a7195ceff33d4174069089d830f8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freshprints/jobs/6030437004", "externalId" : "6030437004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manila", "state" : "Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5904492,120.9803621" } ], "locationText" : "Manila, Manila, Philippines", "employmentType" : "FULL_TIME", "technicalSkills" : "Google Workspace, Microsoft Office", "professionalSkills" : [ "Project management", "Business analysis", "Process improvement", "Vendor evaluation", "Operational reporting" ], "hardSkillsList" : [ "Executive support", "Calendar management", "Meeting summaries", "Project coordination", "Deliverable tracking", "Research", "Business analysis", "Workflow improvement", "SOP creation", "Process documentation", "AI implementation", "Automation solutions", "Technology adoption" ], "softSkillsList" : [ "Resourceful", "Curious", "Accountable", "Independent" ], "hardSkills" : [ { "name" : "Executive support", "level" : "intermediate" }, { "name" : "Calendar management", "level" : "intermediate" }, { "name" : "Meeting summaries", "level" : "intermediate" }, { "name" : "Project coordination", "level" : "intermediate" }, { "name" : "Deliverable tracking", "level" : "intermediate" }, { "name" : 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Manage recurring priorities, Prepare meeting summaries, Prepare reports, Prepare internal documentation, Prioritize competing requests, Ensure key initiatives remain on track, Serve as operational partner to CEO, Coordinate projects from planning through execution, Track project deliverables, Track project deadlines, Track action items, Track stakeholder responsibilities, Follow up with stakeholders to ensure progress, Support implementation of strategic initiatives, Support operational improvements, Assist with new business initiatives, Assist with research projects, Assist with special assignments, Conduct research on vendors, Conduct research on products, Conduct research on services, Conduct research on technology solutions, Conduct research on business opportunities, Gather information for recommendations, Provide organized recommendations to leadership, Assist with vendor evaluations, Assist with RFP creation, Assist with solution comparisons, Analyze operational reports, Identify trends in reports, Identify risks in reports, Identify opportunities in reports, Support decision-making through research, Support decision-making through documentation, Support decision-making through analysis, Identify workflow inefficiencies, Identify workflow improvement opportunities, Create SOPs, Maintain SOPs, Create process documentation, Maintain process documentation, Create operational playbooks, Maintain operational playbooks, Assist with system implementation, Assist with tool implementation, Assist with operational improvement implementation, Standardize recurring processes across businesses, Ensure effective information flow between teams, Ensure effective communication flow between teams, Research and recommend productivity tools, Research and recommend efficiency tools, Assist with AI implementation, Assist with automation solution implementation, Document workflows, Support technology adoption initiatives, Identify opportunities to streamline repetitive tasks, Identify opportunities to streamline manual processes, Support initiatives across multiple businesses, Coordinate with vendors, Coordinate with partners, Coordinate with consultants, Coordinate with service providers, Assist with operational reporting, Assist with project reporting", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; External stakeholders; Multiple businesses", "projectManagementSkills" : [ "Project management", "Agile", "Scrum", "Roadmap planning", "Kanban" ], "domainKnowledge" : "Retail operations; Hospitality operations; Specialty services; Community ventures; Business portfolio management", "domainList" : [ "retail-operations", "hospitality-operations", "specialty-services", "community-ventures", "business-portfolio-management" ], "domainSpecificKnowledge" : [ "Retail operations", "Hospitality operations", "Specialty services", "Community ventures", "Business portfolio management" ], "toolProficiency" : [ "Google Workspace", "Microsoft 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business initiatives; Provide organized recommendations; Improve workflows; Standardize recurring processes; Ensure effective information flow; Ensure effective communication flow; Improve productivity; Improve efficiency; Streamline repetitive tasks; Streamline manual processes; Improve operations; Implement systems; Support business growth", "qualificationsBasic" : "4+ years of experience in operations, project management, executive support, business operations, or similar, Exceptional written and verbal English communication skills, Organizational and time management abilities, Demonstrated ability to manage multiple priorities simultaneously, Problem-solving, research, and analytical skills, High level of accountability and ownership, Ability to work independently and proactively identify solutions, Proficiency with Google Workspace, Microsoft Office, and modern collaboration tools", "qualificationsPreferred" : "Experience supporting founders, executives, or business owners, Experience working in entrepreneurial, startup, or small business environments, Experience creating SOPs and operational documentation, Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms, Exposure to vendor management, procurement, operations, or process improvement, Experience coordinating multiple projects across different departments or business units", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Frontier Frontier is a subsidiary of Fresh Prints. Fresh Prints is a New York-based, fast-growing, fully remote, 150-person company with most of our team based in India and the Philippines. A few years ago, Fresh Prints began helping other fast-growing companies build their teams. We got so good at it that we spun out a new company to focus exclusively on that — and called it Frontier. At Frontier, we help companies grow full-time, cross-functional teams abroad. We hire the smartest people and place them into the best companies. In three years, we’ve never lost a client. If you’re interested in a Frontier role and you apply and are accepted, we’ll screen you through assessments and interviews and aim to get you an interview for a full-time job within the month. Think of us as your personal talent agent — and good luck with the application! \uD83D\uDE0A Please note: To ensure we find the best technical fit, our process will have a practical skills assessment prior to interviews. ABOUT TOP SHELF COLLECTIVE Top Shelf Collective is a family of locally owned businesses based in Jackson Hole, Wyoming. The organization operates a diverse portfolio of companies, including The Liquor Store & Wine Loft of Jackson Hole, Jackson Hole Marketplace, The Vault of Jackson Hole, Jackson Hole Gift Baskets, Jackson Hole Wine Club, and Jackson Hole Connection. Led by entrepreneur Stephan Abrams, Top Shelf Collective is built on a commitment to customer service, community involvement, operational excellence, and continuous improvement. With businesses spanning retail, hospitality, specialty services, and community-focused ventures, the organization is focused on creating exceptional experiences while continuing to grow and evolve. ROLE OVERVIEW The Chief of Staff serves as a trusted operational partner to the CEO, helping manage priorities, execute projects, improve business processes, and ensure important initiatives move forward. This role sits at the intersection of executive support, operations, project management, business analysis, and process improvement. The Chief of Staff will work directly with the CEO across multiple businesses and initiatives, helping create structure, improve efficiency, and remove operational bottlenecks. This is a highly dynamic role requiring strong business judgment, exceptional organization, proactive communication, and the ability to independently drive work forward with minimal oversight. The ideal candidate is resourceful, curious, highly accountable, and thrives in fast-moving environments where priorities can shift quickly. KEY RESPONSIBILITIES Executive Operations & Support Manage executive communications, inbox organization, and follow-up actions. Coordinate calendars, meetings, appointments, and recurring priorities. Prepare meeting summaries, reports, and internal documentation. Help prioritize competing requests and ensure key initiatives remain on track. Serve as a trusted operational partner to the CEO across multiple areas of the business. Project Management & Special Initiatives Coordinate and manage projects from planning through execution. Track deliverables, deadlines, action items, and stakeholder responsibilities. Follow up with internal and external stakeholders to ensure progress. Support implementation of strategic initiatives and operational improvements. Assist with new business initiatives, research projects, and special assignments. Research & Business Analysis Conduct research on vendors, products, services, technology solutions, and business opportunities. Gather information and provide organized recommendations to leadership. Assist with vendor evaluations, RFP creation, and solution comparisons. Analyze operational reports and identify trends, risks, or opportunities. Support decision-making through research, documentation, and analysis. Operations & Process Improvement Identify inefficiencies and opportunities to improve workflows. Create and maintain SOPs, process documentation, and operational playbooks. Assist with implementation of systems, tools, and operational improvements. Help standardize recurring processes across multiple businesses. Ensure information and communication flow effectively between teams. Technology & AI Enablement Research and recommend tools that improve productivity and efficiency. Assist with implementation of AI and automation solutions. Document workflows and support technology adoption initiatives. Help identify opportunities to streamline repetitive tasks and manual processes. Cross-Functional Business Support Support initiatives across multiple businesses within the Top Shelf Collective portfolio. Coordinate with vendors, partners, consultants, and service providers. Assist with operational reporting, project tracking, and administrative workflows. Take ownership of recurring responsibilities and continuously improve them over time. REQUIRED QUALIFICATIONS 4+ years of experience in operations, project management, executive support, business operations, or a similar role. Exceptional written and verbal English communication skills. Strong organizational and time management abilities. Demonstrated ability to manage multiple priorities simultaneously. Strong problem-solving, research, and analytical skills. High level of accountability and ownership. Ability to work independently and proactively identify solutions. Proficiency with Google Workspace, Microsoft Office, and modern collaboration tools. PREFERRED QUALIFICATIONS Experience supporting founders, executives, or business owners. Experience working in entrepreneurial, startup, or small business environments. Experience creating SOPs and operational documentation. Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms. Exposure to vendor management, procurement, operations, or process improvement. Experience coordinating multiple projects across different departments or business units. IDEAL CANDIDATE PROFILE Proactive and highly resourceful. Naturally curious with a strong desire to learn. Comfortable operating in ambiguity and figuring things out independently. Strong attention to detail and follow-through. Excellent communicator who keeps stakeholders informed and aligned. Able to balance strategic thinking with hands-on execution. Process-oriented while remaining flexible and adaptable. Takes ownership of outcomes rather than simply completing assigned tasks. Excited by the opportunity to work directly with a business owner and support multiple projects. growing businesses. COMPENSATION & BENEFITS Environment: Work directly with the CEO of a growing portfolio of locally owned businesses and gain exposure to a wide variety of business operations, projects, and leadership initiatives. 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Knowledge sharing; Teamwork", "domainKnowledge" : "Architecture; Social infrastructure; Mass timber; Institutional projects; Post-secondary institutions; Hospital campuses; Community centers; Affordable housing", "domainList" : [ "architecture", "social-infrastructure", "mass-timber", "institutional-projects", "post-secondary-institutions", "hospital-campuses", "community-centers", "affordable-housing" ], "domainSpecificKnowledge" : [ "Architecture", "Social infrastructure", "Mass timber", "Institutional projects", "Post-secondary institutions", "Hospital campuses", "Community centers", "Affordable housing" ], "toolProficiency" : [ "Revit", "Photoshop", "Rhino", "Grasshopper", "Enscape" ], "communicationSkills" : "Presentation graphics", "continuousLearning" : "Tuition reimbursement", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA", "qualificationsPreferred" : "Demonstrated knowledge of software packages, Experience working with Revit, Experience with physical model-making, Experience using Enscape and rendering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. We specialize in complex, medium-to-large scale projects that leave a significant legacy in our communities, such as hospital campuses, post-secondary facilities and housing, community centers, and affordable housing. In addition to project work, we host weekly design social events to share our expertise, project work and personal interests. We also host a range of sporting events and other social events such as architectural film screenings. Our staff actively teach at UBC's School of Architecture and Landscape Architecture and can plug you into broader industry and academic events during your time in Vancouver. We want to build a better future, so we bring our talents together to add value, promote growth and inspire positive change. HDR is a place where you can accomplish as much as you're willing to, in your work and in your career. We rally behind a good idea - and each other. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) The hourly pay range for Vancouver: %2421.00- %2426.00", "summaryDescription" : "Design Co-op (Fall 2026) at HDR. Skills: User experience, Interface design, Visual design, Design systems. Perform assignments. Participate in architectural design", "createdAt" : "2026-06-14T07:50:04.630", "lastUpdated" : "2026-06-15T05:08:43.474", "ingestTimestamp" : "2026-06-14T07:50:04.630", "mongoId" : "6a2cca1d74d8ee00a0a2245e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Model-making", "User experience", "Interface design", "Visual design", "Design systems", "Design development", "Presentation graphics", "Architecture", "Social infrastructure", "Mass timber", "Institutional projects", "Post-secondary institutions", "Hospital campuses", "Community centers", "Affordable housing", "Revit", "Photoshop", "Rhino", "Grasshopper", "Enscape" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Architecture & Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291b58b93c861e959dd3", "title" : "Transportation Planning Co-op (Fall 2026)", "company" : "HDR", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level transportation planning roles in Calgary, Canada, adjusted for full-time co-op employment type." }, "location" : "Canada-Alberta-Calgary", "locations" : [ "Canada-Alberta-Calgary" ], "timestamp" : "2026-06-16T01:03:41.321", "fingerprint" : "0590de03e129da21518013fb28f56e3d8d127f2ce84fde0c280e13094a04d007", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=781577", "externalId" : "781577", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "toolProficiency" : [ "Microsoft Office" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Undergraduate or graduate Engineering program enrollment, Attention to detail, Problem-solving skills, Communication skills, Basic Microsoft Office skills, Commitment to employee-owned culture", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Currently enrolled in an undergraduate or graduate Engineering program Attention to detail Possess strong problem-solving and communication skills Basic Microsoft Office skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. Canada-Alberta-Calgary", "summaryDescription" : "Transportation Planning Co-op (Fall 2026) at HDR", "createdAt" : "2026-06-14T20:43:19.331", "lastUpdated" : "2026-06-16T01:03:41.321", "ingestTimestamp" : "2026-06-14T20:43:19.331", "mongoId" : "6a16291b58b93c861e959dd3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Microsoft Office" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a161fd958b93c861e91b3be", "title" : "Head of Learning & Development", "company" : "Rohloff Group", "industry" : "Hospitality", "salary" : { "min" : 850000.0, "max" : 1300000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Learning & Development in Somerset West, South Africa, adjusted for the hospitality industry and company size." }, "location" : "Somerset West, ZA", "locations" : [ "Somerset West", "ZA" ], "timestamp" : "2026-06-15T22:14:11.948", "fingerprint" : "ab6f111f24858705c1b8a20f94a34b358bd224a1b3d5da46281beca3c6be87c9", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://rohloff-group.breezy.hr/p/187109575c26-head-of-learning-development", "externalId" : "187109575c26", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerset West", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-34.0822195,18.8489342" } ], "locationText" : "Somerset West, Western Cape, South Africa", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Organizational development", "Talent management", "Employee relations", "HR processes" ], "majorSkills" : "Learning and Development", "majorSkillsList" : [ "Learning and Development" ], "coreResponsibilities" : "Build capability across restaurants, Scale capability across restaurants, Support business expansion", "qualificationsBasic" : "100+ restaurants capability scaling", "workSiteFlexibility" : "Onsite", "rawDescription" : "Join Rohloff Group as a Head of Learning & Development! Head of Learning & Development We are seeking a commercially focused and execution-driven Head of Learning & Development to build and scale capability across 100+ restaurants while supporting ongoing business expansion. The Head o", "summaryDescription" : "Head of Learning & Development at Rohloff Group. Skills: Learning and Development. Build capability across restaurants. Scale capability across restaurants", "createdAt" : "2026-06-14T19:26:36.834", "lastUpdated" : "2026-06-15T22:14:11.948", "ingestTimestamp" : "2026-06-14T19:26:36.834", "mongoId" : "6a161fd958b93c861e91b3be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Learning and Development", "Organizational development", "Talent management", "Employee relations", "HR processes" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5eb74d8ee00a09b8a8f", "title" : "Detection Development Intern, Fall 2026", "company" : "Coveo", "industry" : "Cybersecurity", "salary" : { "min" : 41000.0, "max" : 55000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Montreal, Canada, adjusted for the SaaS industry." }, "location" : "Montréal, Quebec, Canada", "locations" : [ "Montréal", "Quebec", "Canada" ], "timestamp" : "2026-06-15T03:21:15.775", "fingerprint" : "5fa02c8ed99488ce6a27bddcdf90e89dcd0564c25d9c2636bcf6d506b2fd9e97", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coveo.com/en/company/careers/open-positions?gh_jid=8588549002", "externalId" : "8588549002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montréal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montréal, Quebec, Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SaaS, Cloud, XSIAM, AWS, Cortex XDR", "professionalSkills" : [ "Threat detection", "Security monitoring", "Incident response", "Detection engineering" ], "hardSkillsList" : [ "Build detection rules", "Tune detection rules", "Analyze logs", "Analyze telemetry" ], "softSkillsList" : [ "Curious", "Analytical thinking" ], "hardSkills" : [ { "name" : "Build detection rules", "level" : "intermediate" }, { "name" : "Tune detection rules", "level" : "intermediate" }, { "name" : "Analyze logs", "level" : "intermediate" }, { "name" : "Analyze telemetry", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Analytical thinking" } ], "majorSkills" : "Threat detection, Detection engineering, Security operations", "majorSkillsList" : [ "Threat detection", "Detection engineering", "Security operations" ], "coreResponsibilities" : "Participate in daily stand-ups, Collaborate with team members, Build detection rules, Tune detection rules, Research service abuse, Identify detection opportunities, Analyze logs, Analyze security telemetry, Take active role in discussions, Share your thinking, Ask questions, Receive feedback, Draw on coach's expertise, Watch best practices, Learn best practices, Apply best practices", "teamCollaboration" : "Collaborate with team members; Face-to-face learning", "domainKnowledge" : "Enterprise security; SaaS platforms; Cloud infrastructure; Threat actors; Security telemetry", "domainList" : [ "enterprise-security", "saas-platforms", "cloud-infrastructure", "threat-actors", "security-telemetry" ], "domainSpecificKnowledge" : [ "Enterprise security", "SaaS platforms", "Cloud infrastructure", "Threat actors", "Security telemetry" ], "toolProficiency" : [ "XSIAM", "Cortex XDR" ], "communicationSkills" : "Share thinking; Ask questions; Receive feedback", "continuousLearning" : "Gain hands-on experience; Develop your skills; Learn best practices", "problemSolvingSkills" : "Analytical approach; Consider broader context", "outcomesObjectives" : "Strengthen detection coverage; Expand detection capabilities", "qualificationsBasic" : "Studying Software Engineering, Studying Computer Science, Available full-time 15 weeks, Legally entitled to work, Present at office 2 days/week", "qualificationsPreferred" : "Familiarity with SIEM, Familiarity with security tooling, Participated in CTF, Personal projects", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "What does it take to detect real threats across a large SaaS environment? Are you curious about how enterprise security teams identify suspicious activity, build detections, and improve visibility across modern cloud and Software as a Service (SaaS) platforms? Coveo is looking for a Detection Engineering Intern to join our Security Operations Center (SOC) team. Your mission? Help us strengthen our detection coverage by building and tuning threat detection rules for the technologies that support Coveo’s production environment. The SOC team plays a key role in protecting Coveo by monitoring security activity, investigating alerts, and continuously improving our ability to detect threats across our SaaS and infrastructure footprint. As an intern, you’ll contribute to initiatives that expand our detection capabilities while gaining hands-on experience with real enterprise threat detection tools in a production environment. Your impact, day to day: Participate in daily stand-up meetings to discuss progress, roadblocks, and priorities. Collaborate with team members to ensure alignment and effective communication. Build and tune detection rules in XSIAM for different technologies, SaaS platforms, and log sources. Research how services and tools could be abused by threat actors in order to identify realistic detection opportunities. Contribute to detection coverage for platforms such as 1Password, AWS, Cortex XDR logs, and other more. Analyze logs and security telemetry to better understand user activity, system behavior, and potential indicators of suspicious activity. Take an active role in discussions around detection quality. Share your thinking, ask questions, and receive feedback to strengthen your analytical approach and technical skills. Develop your skills by drawing on your coach’s expertise. Watch, learn, and apply best practices used in security monitoring, threat detection, and detection engineering. The Essentials: You are currently studying Software Engineering or Computer Science in a Bachelors degree or higher in the province of Québec. You can be present at the office at least two days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work. You are available to work full-time for 15 weeks and are legally entitled to do so in Canada. Think you've got what it takes? Let's see! You are curious, eager to learn, and motivated to understand how security tools and systems work. You are able to think analytically and consider the broader context behind security events, instead of focusing only on isolated details. You have an interest in threat detection, security monitoring, incident response, or detection engineering. You have some familiarity with security information and event management (SIEM), core concepts of security tooling. You have participated in some Capture The Flag competitions and/or have a few personal projects. You have a strong sense of ownership and are proud of what you create. Join the Coveolife! Do you think you can bring this role to life? Send us your application, we want to hear from you! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.", "summaryDescription" : "Detection Development Intern, Fall 2026 at Coveo. Skills: Threat detection, Detection engineering, Security operations. Participate in daily stand-ups. 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We tell stories about the journeys our unconventional heroes take to make dreams come true. As a growth-minded studio, we pride ourselves on being one of the world’s leading producers of high-quality, award-winning, animated films and series, reaching consumers around the globe. We push to feel more, laugh more, and build immersive new worlds. DreamWorks creates a diverse array of original content in a variety of formats, delivering compelling stories with unique characters. We place tremendous value on the experiences our talent brings to the table from their own non-traditional paths to success. We believe in frequent communication and that transparency and trust yield the best work. We are a community of artists, technologists, innovators, and creators, who are passionate about animation and also happen to love eating lunch together. In the DreamWorks Internship Program, interns work in an engaging and exciting environment alongside creative leaders and artists who are committed to building an inclusive and collaborative culture. Interns are immersed into TV and Feature animated productions while gaining hands-on experience at our studio. Open to students and recent grads, we love those who are driven and hungry to learn, are curious and resourceful, and most importantly, are passionate about animation. The Internship Program also showcases best-in-class opportunities by offering executive speaker series, professional/career development workshops, artistic classes, community outreach opportunities, movie screenings, and much more! If you are part of the fandom and believe teamwork makes the dream work, join us in #livingthedream and #doingyourdreamwork! Fall 2026 TV Development & Current Series Internship: * Applications close: June 29, 2026 at 11:59pm PT * Program Dates: September 28 - December 3, 2026 * Time Commitment: Part-Time (24 hours per week required) * Format: In Person (Tuesday - Thursday) Responsibilities: \"What would you say you do here?” * The TV Development and Current Series Intern will shadow and be able to share their creative point of view on content with high-level executives on both sides of Development and Production * Gain exposure to areas including but not limited to: reading scripts, reviewing designs, and attending work-in-progress episode screenings * Research books, writers, and artists * Build pitch decks and work with the production teams to source assets for department presentations * Submit writers and pitches into the department's databases * Create a final presentation surrounding an approved theme they are passionate about and present it to executives at the end of their internship * This position will be exposed to the direct inner-workings of the television animation development and current process from beginning to end ## Qualifications Basic Qualifications: “What do I need to have in order to do this job?” * Experience with Photoshop * An interest in programming for all demos * Ability to transcribe recordings of meetings * Experienced with internet market research * Strong writing, communication and presentation skills * Pursuing an Associate, Bachelor or Graduate degree at a College/University (or equivalent), or be a recent graduate (within six months of graduation date) * Must be 18 years of age or older * Must be willing to work in Glendale, California * Ability to provide own relocation, housing and transportation * Authorized to work in the United States without visa sponsorship Desired Qualifications: “What can I offer?” * Curiosity about animation is a plus. * Knowledge of programs like Word and PowerPoint * Knowledge of programs like Excel and video editing software is preferred * Current class standing of Junior or above (or equivalent) Hourly Rate: $17.87 Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of three days per week. Beginning January 5, 2026, hybrid employees will be required to work from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. 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We tell stories about the journeys our unconventional heroes take to make dreams come true. As a growth-minded studio, we pride ourselves on being one of the world’s leading producers of high-quality, award-winning, animated films and series, reaching consumers around the globe. We push to feel more, laugh more, and build immersive new worlds. DreamWorks creates a diverse array of original content in a variety of formats, delivering compelling stories with unique characters. We place tremendous value on the experiences our talent brings to the table from their own non-traditional paths to success. We believe in frequent communication and that transparency and trust yield the best work. We are a community of artists, technologists, innovators, and creators, who are passionate about animation and also happen to love eating lunch together. In the DreamWorks Internship Program, interns work in an engaging and exciting environment alongside creative leaders and artists who are committed to building an inclusive and collaborative culture. Interns are immersed into TV and Feature animated productions while gaining hands-on experience at our studio. Open to students and recent grads, we love those who are driven and hungry to learn, are curious and resourceful, and most importantly, are passionate about animation. The Internship Program also showcases best-in-class opportunities by offering executive speaker series, professional/career development workshops, artistic classes, community outreach opportunities, movie screenings, and much more! If you are part of the fandom and believe teamwork makes the dream work, join us in #livingthedream and #doingyourdreamwork! Fall 2026 TV Development & Current Series Internship: * Applications close: June 29, 2026 at 11:59pm PT * Program Dates: September 28 - December 3, 2026 * Time Commitment: Part-Time (24 hours per week required) * Format: In Person (Tuesday - Thursday) Responsibilities: \"What would you say you do here?” * The TV Development and Current Series Intern will shadow and be able to share their creative point of view on content with high-level executives on both sides of Development and Production * Gain exposure to areas including but not limited to: reading scripts, reviewing designs, and attending work-in-progress episode screenings * Research books, writers, and artists * Build pitch decks and work with the production teams to source assets for department presentations * Submit writers and pitches into the department's databases * Create a final presentation surrounding an approved theme they are passionate about and present it to executives at the end of their internship * This position will be exposed to the direct inner-workings of the television animation development and current process from beginning to end ## Qualifications Basic Qualifications: “What do I need to have in order to do this job?” * Experience with Photoshop * An interest in programming for all demos * Ability to transcribe recordings of meetings * Experienced with internet market research * Strong writing, communication and presentation skills * Pursuing an Associate, Bachelor or Graduate degree at a College/University (or equivalent), or be a recent graduate (within six months of graduation date) * Must be 18 years of age or older * Must be willing to work in Glendale, California * Ability to provide own relocation, housing and transportation * Authorized to work in the United States without visa sponsorship Desired Qualifications: “What can I offer?” * Curiosity about animation is a plus. * Knowledge of programs like Word and PowerPoint * Knowledge of programs like Excel and video editing software is preferred * Current class standing of Junior or above (or equivalent) Hourly Rate: $17.87 Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of three days per week. Beginning January 5, 2026, hybrid employees will be required to work from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "TV Development & Current Series, DreamWorks Animation, Fall 2026 at DreamWorks Animation", "postedDate" : "2026-06-15T15:20:15.000", "createdAt" : "2026-06-15T21:39:35.990", "lastUpdated" : "2026-06-16T05:23:20.585", "ingestTimestamp" : "2026-06-15T21:39:35.990", "mongoId" : "6a304ff3f292fd229ceeb32f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 60000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d15", "title" : "Applied Scientist, Conversational Assistant Modeling and Learning", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, alexa and amazon devices", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:47:03.276", "fingerprint" : "e6206c7ba4a26af5eaa07049dc0eacd659af8966590a437399f031b1b0a97685", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449183/apply", "externalId" : "7fbabfa2-3ec3-40ae-88a0-eee72a5099f5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "technicalSkills" : "Python, SQL, Java, C++, Scala, Spark, Hadoop, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, S3, Glue, Athena, BigQuery, Redshift, Databricks, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "System design", "Algorithm design" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data mining", "Data engineering", "Algorithm development", "Model training", "Model evaluation", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Engineering, Statistical Modeling", "majorSkillsList" : [ "Machine Learning", "Data Engineering", "Statistical Modeling" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and maintain data pipelines, Conduct data analysis, Build and deploy ML systems, Collaborate with engineering teams, Stay current with ML research", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Conversational AI; Natural Language Processing; Machine Learning Operations", "domainList" : [ "conversational-ai", "natural-language-processing", "machine-learning-operations" ], "domainSpecificKnowledge" : [ "Conversational AI", "Natural Language Processing", "Machine Learning Operations" ], "toolProficiency" : [ "Dbt", "Dbt Cloud", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker" ], "continuousLearning" : "ML research", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Master's degree, 3+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Alexa AI is looking for an Applied Scientist to build Alexa+, Amazon's LLM-powered conversational assistant. You will work on key initiatives spanning large language model fine-tuning, alignment, agentic reasoning, and evaluation — directly shaping the experience for hundreds of millions of customers worldwide. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with other scientists and engineers to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Key job responsibilities * Improve the efficiency of LLM, VLM, and agent training and evaluation pipelines, including distributed training, inference serving, data loading, checkpointing, memory usage, and GPU utilization. * Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment * Architect agentic systems — multi-step reasoning, tool use, planning, and orchestration * Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality * Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science teams * Publish results at top-tier venues and represent Amazon in the broader research community About the team Alexa AI is building the science and technology behind Alexa+, Amazon's next-generation conversational assistant. Our team works at the intersection of large language models, reinforcement learning, agentic architectures, and multilingual/multimodal understanding. We operate at massive scale — our models serve customers across dozens of languages and device types. If you want to push the frontier of conversational AI and see your work used by people every day, come join us. Basic Qualifications: - Master's degree or above in computer science, machine learning, engineering, or related fields - 3+ years of programming in Java, C++, Python or related language experience - 1+ years experience with distributed training frameworks such as VeRL, Megatron, FSDP, DeepSpeed, Ray, or similar systems, and inference engines such as vLLM, TensorRT-LLM, Triton, SGLang, TGI. - 3+ years’ experience with modeling languages and tools like PyTorch / TensorFlow, R, scikit-learn, numpy, scipy, etc. - Solid ML background and familiar with NLU, NLG, and LLM training and evaluation. Preferred Qualifications: - PhD in computer science, machine learning, engineering, or related fields - 3+ years experience with distributed training frameworks such as verl, Megatron, FSDP, DeepSpeed, Ray, or similar systems, and inference engines such as vLLM, TensorRT-LLM, Triton, SGLang, TGI. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Applied Scientist, Conversational Assistant Modeling and Learning at Amazon.com Services LLC. Skills: Machine Learning, Data Engineering, Statistical Modeling. Design and implement machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:00:49.351", "lastUpdated" : "2026-06-16T05:47:03.276", "ingestTimestamp" : "2026-06-15T22:00:49.351", "mongoId" : "6a305649f292fd229cf26d15", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449183/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning", "Data mining", "Data engineering", "Algorithm development", "Model training", "Model evaluation", "A/B testing", "Causal inference", "Machine Learning", "Data Engineering", "Statistical Modeling", "Data modeling", "System design", "Algorithm design", "Conversational AI", "Natural Language Processing", "Machine Learning Operations", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Dbt Cloud", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ccc9e74d8ee00a0a27bc0", "title" : "Structural Co-op (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 21.0, "max" : 31.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada-Ontario-Toronto", "locations" : [ "Canada-Ontario-Toronto" ], "timestamp" : "2026-06-15T09:23:56.011", "fingerprint" : "ceaa5461867feeccd91481f5e6b06c52e9aaa47d8e4bac0929e81e8e0aab1731", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784464", "externalId" : "784464", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Revit, AutoCAD, Bluebeam Revu, SAP2000, ETABS, SAFE, RISA3D, RAM", "professionalSkills" : [ "Engineering techniques", "Engineering procedures", "Design calculations", "Element design" ], "hardSkillsList" : [ "Structural analysis", "Steel structures", "Concrete structures", "Mass timber structures", "Masonry structures" ], "hardSkills" : [ { "name" : "Structural analysis", "level" : "intermediate" }, { "name" : "Steel structures", "level" : "intermediate" }, { "name" : "Concrete structures", "level" : "intermediate" }, { "name" : "Mass timber structures", "level" : "intermediate" }, { "name" : "Masonry structures", "level" : "intermediate" } ], "majorSkills" : "Structural engineering, Building systems", "majorSkillsList" : [ "Structural engineering", "Building systems" ], "coreResponsibilities" : "Offer real-world experience, Connect with college graduates, Connect with company leaders, Apply standard engineering techniques, Apply standard engineering procedures, Perform assignments under supervision, Conduct supervised design calculations, Perform element design, Produce sketches, Produce drawings, Document review, Document interpretation, Participate in field reviews, Participate in investigations, Prepare field reports", "teamCollaboration" : "Structural team mentorship; Work with subject matter experts", "domainKnowledge" : "Building structural systems; Steel structures; Concrete structures; Masonry structures", "domainList" : [ "building-structural-systems", "steel-structures", "concrete-structures", "masonry-structures" ], "domainSpecificKnowledge" : [ "Building structural systems", "Steel structures", "Concrete structures", "Masonry structures" ], "toolProficiency" : [ "CAD software", "Structural analytical program" ], "continuousLearning" : "Mentorship", "qualificationsBasic" : "Completed 2 years toward degree, 3.0+ GPA", "qualificationsPreferred" : "Knowledge of software packages, Independent learner, Capable of quickly learning new skills, Successful working in a team environment, Keen observer, Attention to detail", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. HDR is currently seeking applications from dynamic and eager to learn engineering students for a four- or eight-month placement or longer at our downtown Toronto office. In this role, the successful candidate will work on a large variety of projects associated with building structural systems for different building and non-building structures. The student will work concurrently on multiple projects that are in various stages of design and construction. This diverse array of projects and tasks will provide the student with excellent opportunities to learn about all aspects of the building engineering industry. HDR will also ensure that the successful candidate is well supported and put in a position to succeed. They will be working as an important member of our structural team, who will provide them with mentorship to support their growth and development. Additionally, the student will also have the opportunity to work with and learn from several of HDR's subject matter experts throughout the company. Job Responsibilities Responsibilities will vary in scope depending on project mix. In the role of Structural Co-op, we'll count on you to: Offer real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals' programs Apply standard engineering techniques and procedures Perform assignments under the direct supervision of a professional or Project Manager Conduct supervised design calculations and element design (with a focus on calculations associated with steel, concrete, mass timber and masonry structures). Produce sketches and drawings to communicate design concepts. Document review and interpretation to support construction activities. Participate in field reviews or investigations to support construction activities. Prepare field reports based on onsite observations. Perform other duties as needed Preferred Qualifications Prefer 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry Skilled in using CAD software's such as Revit, AutoCAD, and Bluebeam Revu. Skilled in using any structural analytical program like SAP2000, ETABS, SAFE, RISA3D, RAM, and similar apps Knowledge of engineering principles associated with building structural system for steel, concrete, and masonry structures Past experience working with an Engineering firm. Independent learner who is capable of quickly learning new skills. Successful working in a team environment. Keen observer with a strong attention to detail. We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) The hourly pay range for Ontario: %2421.00- %2431.00", "summaryDescription" : "Structural Co-op (Fall 2026) at HDR. Skills: Structural engineering, Building systems. Offer real-world experience. Connect with college graduates", "createdAt" : "2026-06-14T05:11:23.317", "lastUpdated" : "2026-06-15T09:23:56.011", "ingestTimestamp" : "2026-06-14T05:11:23.317", "mongoId" : "6a2ccc9e74d8ee00a0a27bc0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Structural analysis", "Steel structures", "Concrete structures", "Mass timber structures", "Masonry structures", "Structural engineering", "Building systems", "Engineering techniques", "Engineering procedures", "Design calculations", "Element design", "Building structural systems", "CAD software", "Structural analytical program" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.98 }, { "id" : "69fa9cc04c40e2acd174f8f6", "title" : "Applied Scientist II, Payment Risk Machine Learning", "company" : "ADCI HYD 20 SEZ", "industry" : "Machine Learning Science, Applied Science, amazon business", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Applied Scientist II in FinTech, adjusted for mid-seniority and Hyderabad, India." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T22:24:27.090", "fingerprint" : "8cba862bad792368c9093bc78096c6cd27acccef604f3fafcb756030e0c63454", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411938/apply", "externalId" : "53ac7100-3851-467d-b1ad-9d8cbd7cd8d6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, C++, Machine Learning, Deep Learning, Large Language Models, Agentic AI, Graph Neural Networks, Anomaly Detection, GenAI", "professionalSkills" : [ "Risk management", "Model development", "Data analysis", "Algorithm development", "System design" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Deep learning", "Large language models", "Agentic AI systems", "Graph neural networks", "Anomaly detection", "Fraud detection", "Fraud prevention", "Risk evaluation", "Model validation", "Model monitoring" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "Agentic AI systems", "level" : "intermediate" }, { "name" : "Graph neural networks", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" }, { "name" : "Fraud prevention", "level" : "intermediate" }, { "name" : "Risk evaluation", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Risk Management, Fraud Detection, Model Deployment", "majorSkillsList" : [ "Machine Learning", "Risk Management", "Fraud Detection", "Model Deployment" ], "coreResponsibilities" : "Own end-to-end development of machine learning models, Analyze large volumes of historical and real-time data, Identify fraud patterns and emerging risk trends, Design, develop, validate, and deploy innovative models, Apply GenAI/LLM technologies to automate risk evaluation, Improve operational efficiency, Collaborate closely with software engineering teams, Implement scalable, real-time model solutions, Partner with operations and business stakeholders, Translate risk insights into measurable impact, Establish scalable and automated processes for data analysis, Establish scalable and automated processes for model experimentation, Establish scalable and automated processes for model validation, Establish scalable and automated processes for model monitoring, Track model performance, Communicate insights clearly to stakeholders, Research and implement novel machine learning methodologies, Research and implement novel statistical methodologies", "teamCollaboration" : "Cross-functional teams; Business and product leaders", "domainKnowledge" : "Payment risk; E-commerce fraud; Financial transactions", "domainList" : [ "payment-risk", "e-commerce-fraud", "financial-transactions" ], "domainSpecificKnowledge" : [ "Payment risk", "E-commerce fraud", "Financial transactions" ], "communicationSkills" : "Communicate insights clearly", "innovationCreativity" : "Explore and implement state of the art approaches; Build and deploy production-ready models; Automate fraud detection and prevention", "problemSolvingSkills" : "Modeling complex problems; Discovering insights", "outcomesObjectives" : "Minimize risk; Maximize trust; Improve system effectiveness; Prevent bad debt; Improve operational efficiency; Reduce bad debt; Drive tangible improvements in fraud detection; Drive tangible improvements in fraud prevention", "qualificationsBasic" : "3+ years building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for its Payment Risk Mining ML team, whose mission is to combine advanced machine learning techniques to detect negative customer experiences, improve system effectiveness, and prevent bad debt across Amazon. As an Applied Scientist in Risk Mining, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through state-of-the-art techniques including statistical models, deep learning, large language models (LLMs), and agentic AI systems. You will explore and implement state of the art approaches such as graph neural networks, anomaly detection, GenAI-powered investigation agents, and multi-agent systems to automate fraud detection and prevention at scale. You will build and deploy production-ready models and automated systems to improve operational efficiency and reduce bad debt. You will collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions. The ideal candidate should be able to apply a breadth of tools, and advanced ML techniques, from traditional machine learning to emerging agentic frameworks, to take ideas from experimentation to production, driving tangible improvements in fraud detection and prevention. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high-impact role with goals that directly impact the bottom line of the business. Key job responsibilities Own end-to-end development of machine learning models for large-scale risk management systems Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends Design, develop, validate, and deploy innovative models to production environments Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency Collaborate closely with software engineering teams to implement scalable, real-time model solutions Partner with operations and business stakeholders to translate risk insights into measurable impact Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders Research and implement novel machine learning and statistical methodologies Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience in professional software development 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" : "Applied Scientist II, Payment Risk Machine Learning at ADCI HYD 20 SEZ. Skills: Machine Learning, Risk Management, Fraud Detection, Model Deployment. Own end-to-end development of machine learning models. Analyze large volumes of historical and real-time data", "postedDate" : "2026-06-14T20:13:40.409", "createdAt" : "2026-06-14T20:13:40.409", "lastUpdated" : "2026-06-15T22:24:27.090", "ingestTimestamp" : "2026-06-14T20:13:40.409", "mongoId" : "69fa9cc04c40e2acd174f8f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411938/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Deep learning", "Large language models", "Agentic AI systems", "Graph neural networks", "Anomaly detection", "Fraud detection", "Fraud prevention", "Risk evaluation", "Model validation", "Model monitoring", "Machine Learning", "Risk Management", "Fraud Detection", "Model Deployment", "Risk management", "Model development", "Data analysis", "Algorithm development", "System design", "Payment risk", "E-commerce fraud", "Financial transactions" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291b58b93c861e959e70", "title" : "Design Co-op (Fall 2026)", "company" : "HDR", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Design Co-op in Ottawa, Canada, adjusted for the engineering industry." }, "location" : "Canada-Ontario-Ottawa", "locations" : [ "Canada-Ontario-Ottawa" ], "timestamp" : "2026-06-15T13:59:40.011", "fingerprint" : "bb27adf03352544bc60569d105dd031a1c21d421b0113db0678b1c9983fbb37d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=783096", "externalId" : "783096", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ottawa", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.4208777,-75.6901106" } ], "locationText" : "Ottawa, Ontario, Canada", "employmentType" : "FULL_TIME", "qualificationsBasic" : "Currently enrolled in program, Attention to detail, Problem-solving skills, Communication skills, Basic Microsoft Office skills", "remoteFriendly" : false, "rawDescription" : "Required Qualifications Must be currently enrolled in an undergraduate or graduate program Attention to detail Must possess strong problem-solving and communication skills Basic Microsoft Office skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. At HDR, the health and safety of our employees is of the upmost importance. In accordance with local safety, health, and environmental legislation, HDR is committed to developing, maintaining, and enforcing proactive safe work policies, procedures, and standards. In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable legislation, we are committed to meeting the accessibility needs of persons with disabilities. Candidates with disabilities may request reasonable accommodation throughout the recruitment and selection process by contacting our Human Resources team. HDR is a certified Living Wage Employer in Ontario, British Columbia, and Alberta. Canada-Ontario-Ottawa", "summaryDescription" : "Design Co-op (Fall 2026) at HDR", "createdAt" : "2026-06-14T07:59:14.359", "lastUpdated" : "2026-06-15T13:59:40.011", "ingestTimestamp" : "2026-06-14T07:59:14.359", "mongoId" : "6a16291b58b93c861e959e70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c7c1d74d8ee00a094c5b4", "title" : "Supplier Industrialization Engineering Intern (Fall 2026)", "company" : "Zipline", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 64000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in the logistics industry in South San Francisco, adjusted for company size and seniority." }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T08:44:40.374", "fingerprint" : "7164a03ac0cc494011bbae181b831c357b668a6ff8fbfdda0a99b11a48b53c53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7766424003#open-roles", "externalId" : "7766424003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "3D CAD, NX, GD&T", "professionalSkills" : [ "Design for Manufacturing", "Assembly process design", "Statistical quality control", "Root cause analysis", "Supplier evaluation", "Process implementation", "Fixture design", "Automation strategy", "Corrective actions", "Preventive actions", "Performance tracking", "Continuous improvement" ], "hardSkillsList" : [ "Manufacturing processes", "Assembly processes", "Quality control", "Root cause analysis", "CAPA techniques" ], "hardSkills" : [ { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Assembly processes", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "CAPA techniques", "level" : "intermediate" } ], "majorSkills" : "Supplier industrialization, Manufacturing operations, Quality assurance", "majorSkillsList" : [ "Supplier industrialization", "Manufacturing operations", "Quality assurance" ], "coreResponsibilities" : "Participate in DfX discussions, Assist with assembly line planning, Develop process documentation, Maintain process documentation, Provide training to operators, Support supplier evaluation, Support supplier qualification, Assist in implementing manufacturing processes, Design fixtures for assembly, Design fixtures for inspection, Propose automation strategies, Assist in root cause analysis, Implement corrective actions, Implement preventive actions, Monitor supplier performance, Track process performance, Generate performance reports, Assist in CI projects", "teamCollaboration" : "Internal and external stakeholders; Cross-functional stakeholders", "projectManagementSkills" : [ "APQP", "PPAP" ], "domainKnowledge" : "Design for Manufacturability; Assembly; Statistical Quality Control; Root Cause Analysis; Advanced Product Quality Planning; Production Part Approval Process; Problem Solving Frameworks; CAPA Techniques; Machining; Injection Molding; Sheet Metal Stamping; 3D Printing; PCBA Manufacturing; Mechanical Assembly; Electromechanical Assembly", "domainList" : [ "design-for-manufacturability", "assembly", "statistical-quality-control", "root-cause-analysis", "advanced-product-quality-planning", "production-part-approval-process", "problem-solving-frameworks", "capa-techniques", "machining", "injection-molding", "sheet-metal-stamping", "3d-printing", "pcba-manufacturing", "mechanical-assembly", "electromechanical-assembly" ], "domainSpecificKnowledge" : [ "Design for Manufacturability", "Assembly", "Statistical Quality Control", "Root Cause Analysis", "Advanced Product Quality Planning", "Production Part Approval Process", "Problem Solving Frameworks", "CAPA Techniques", "Machining", "Injection Molding", "Sheet Metal Stamping", "3D Printing", "PCBA Manufacturing", "Mechanical Assembly", "Electromechanical Assembly" ], "toolProficiency" : [ "NX" ], "documentationSkills" : "Process documentation; Manufacturing Process Flows; FMEAs; Control Plans; Work Instructions", "problemSolvingSkills" : "Root cause analysis; Problem solving", "outcomesObjectives" : "Meet quality targets; Meet cost targets; Meet delivery targets; Ensure consistent standards; Meet ZAP requirements; Improve efficiency; Improve reliability; Resolve quality issues; Prevent future occurrences; Drive continuous improvements; Enhance manufacturing processes; Reduce costs; Improve product quality", "qualificationsBasic" : "Completed second year undergraduate studies, Proficiency in 3D CAD Software, Ability to read Engineering Drawings, Understanding of manufacturing processes, Understanding of APQP, Understanding of PPAP, Understanding of Problem Solving Frameworks, Understanding of RCA/CAPA Techniques", "qualificationsPreferred" : "NX preferred, GD&T knowledge preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About The Supplier Industrialization Engineering Team Zipline is scaling drone production and flight operations by more than 20× over the next three years while maintaining best-in-class safety and reliability. You will own the entire supplier industrialization and supplier development engineering functions — building the team, processes, tools, and culture that make Zipline’s massive scale-up possible without compromising quality, delivery, or cost. The Role As an SIE Intern, the projects you undertake will be focused on the improvement of manufacturing operations & quality at critical Zipline suppliers. This involves working with internal & external cross-functional stakeholders on design for manufacturing & assembly, manufacturing process design & implementation, statistical quality control, and root cause analysis to ensure that Zipline suppliers can meet quality, cost & delivery targets set for them. What You'll Do Design for X (DfX) Discussions: Participate in DfX discussions with internal and external stakeholders to ensure designs are optimized for manufacturability, assembly, and efficiency across Zipline’s Top Level Assemblies (TLAs) and sub-assemblies. Assembly Line Management: Assist with the planning, budgeting, design, procurement, commissioning, and validation of assembly lines and associated equipment at Zipline for Product Validation Builds and mass production at contract manufacturers (CMs). Process Documentation & Training: Develop and maintain key process documentation such as Manufacturing Process Flows, FMEAs, Control Plans, and Work Instructions. Provide training to operators and quality teams to ensure consistent standards in manufacturing and assembly processes. Supplier Management & Qualification: Support in evaluating and qualifying new suppliers, ensuring they meet Zipline’s quality and production standards. Assist in implementing manufacturing processes at supplier facilities to meet the Zipline Approval Process (ZAP) requirements. Fixture Design & Automation: Design fixtures for assembly and inspection, and propose automation strategies to improve efficiency and reliability, both at Zipline and supplier facilities. Root Cause Analysis (RCA) & Corrective Actions: Assist in performing root cause analysis and implementing corrective and preventive actions (CAPA) to resolve quality issues, ensuring these actions are effectively implemented to prevent future occurrences. Supplier and Process Performance Tracking: Monitor and track Key Performance Indicators (KPIs) such as first-pass yield, on-time delivery, and cost of poor quality, generating regular reports for internal and external stakeholders to drive continuous improvements. Continuous Improvement Projects: Assist in Continuous Improvement (CI) projects to enhance manufacturing processes, reduce costs, and improve product quality at both Zipline and its supplier locations What You'll Bring Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible. Proficiency in 3D CAD Software (NX preferred) & ability to read Engineering Drawings (with GD&T) Understanding of traditional & non-traditional manufacturing processes (Machining, Injection Molding, Sheet Metal Stamping, 3D Printing, PCBA Manufacturing, Mechanical or Electromechanical Assembly, etc.) Understanding of Advanced Product Quality Planning (APQP) & Production Part Approval Process (PPAP) Understanding of Problem Solving Frameworks (8D, FTA, Pareto Analysis, etc.) & RCA/ CAPA Techniques used within these frameworks Willingness to work in a super fast-paced environment that is in a constant state of evolution Be a student pursuing a(n) graduate/ undergraduate degree in one of the following concentrations: Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Industrial Engineering, Manufacturing Engineering, Physics, Chemistry, Statistics, Mathematics. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco office. We will host our Fall 2026 interns from September to December. Candidates are limited to three (3) applications within a 30-day period. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.", "summaryDescription" : "Supplier Industrialization Engineering Intern (Fall 2026) at Zipline. Skills: Supplier industrialization, Manufacturing operations, Quality assurance. Participate in DfX discussions. Assist with assembly line planning", "postedDate" : "2026-06-14T08:19:43.382", "createdAt" : "2026-06-14T08:19:43.382", "lastUpdated" : "2026-06-15T08:44:40.374", "ingestTimestamp" : "2026-06-14T08:19:43.382", "mongoId" : "6a2c7c1d74d8ee00a094c5b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 64000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Manufacturing processes", "Assembly processes", "Quality control", "Root cause analysis", "CAPA techniques", "Supplier industrialization", "Manufacturing operations", "Quality assurance", "Design for Manufacturing", "Assembly process design", "Statistical quality control", "Supplier evaluation", "Process implementation", "Fixture design", "Automation strategy", "Corrective actions", "Preventive actions", "Performance tracking", "Continuous improvement", "APQP", "PPAP", "Design for Manufacturability", "Assembly", "Statistical Quality Control", "Root Cause Analysis", "Advanced Product Quality Planning", "Production Part Approval Process", "Problem Solving Frameworks", "CAPA Techniques", "Machining", "Injection Molding", "Sheet Metal Stamping", "3D Printing", "PCBA Manufacturing", "Mechanical Assembly", "Electromechanical Assembly", "NX" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "aptpuo fall 2026 edu5253 c00 theories of learning applied to teaching jobs", "metadata" : { "title" : "aptpuo fall 2026 edu5253 c00 theories of learning applied to teaching" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 23488, "totalPages" : 470, "hasNext" : true, "hasPrevious" : false } }

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