{ "count" : 16912, "data" : [ { "id" : "6a306723f292fd229cfb99ec", "title" : "Social Worker - Preparing for Adulthood", "company" : "Liquid Personnel", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-level Social Worker in the Healthcare industry in Bury, United Kingdom, adjusted for seniority and company size." }, "location" : "57 Spring Gardens, Manchester, M2 2BY", "locations" : [ "57 Spring Gardens", "Manchester", "M2 2BY" ], "certifications" : [ "Social Work England registration" ], "timestamp" : "2026-06-16T09:25:22.912", "fingerprint" : "4c800dba866942be0c2e89deae7728c33cc5248188a1665b087a31a5d25cf079", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/liquidpersonnel/jobs/7771832003", "externalId" : "7771832003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bury", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2460367,0.7125173" } ], "locationText" : "Bury, United Kingdom", "employmentType" : "CONTRACT", "minimumEducation" : "Degree level or equivalent in Social Work", "professionalSkills" : [ "Transitions planning", "Care Act assessments", "Strengths-based support plans" ], "majorSkills" : "Social work, Transition planning, Needs assessment", "majorSkillsList" : [ "Social work", "Transition planning", "Needs assessment" ], "coreResponsibilities" : "Support transitions planning, Develop person-centred transition plans, Promote independence and wellbeing, Complete Care Act assessments, Assess eligible needs, Create strengths-based support plans, Coordinate adult services, Collaborate with education teams, Collaborate with health teams, Collaborate with SEND teams, Collaborate with families", "teamCollaboration" : "Multi-agency coordination; Education, health, SEND teams; Families", "domainKnowledge" : "Preparing for Adulthood", "domainList" : [ "preparing-for-adulthood" ], "domainSpecificKnowledge" : [ "Preparing for Adulthood" ], "continuousLearning" : "CPD portal access", "specialRequirements" : "Full UK driving licence", "outcomesObjectives" : "Promote independence; Promote wellbeing; Achieve long-term outcomes; Ensure smooth transitions; Ensure consistent support", "qualificationsBasic" : "Social Work England registration, Eligible to work in the UK, Hold a full UK driving licence, Post-qualified experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Liquid Personnel is recruiting a Social Worker for the Preparing for Adulthood Team for its client in Bury. What will your responsibilities be? Supporting transitions planning - working with young people (14–25) to develop person‑centred transition plans that promote independence, wellbeing and long‑term outcomes. Completing Care Act assessments - assessing eligible needs as young people move into adulthood, creating strengths‑based support plans and coordinating appropriate adult services. Multi‑agency coordination - collaborating with education, health, SEND teams and families to ensure smooth transitions and consistent support across children’s and adults’ services. Benefits: Initial 3-month contract with immediate start Hybrid Work Supervision and Training Qualifications & Experience: To be successful in this role you must have, Social Work England registration Eligible to work in the UK Hold a full UK driving licence Post-qualified experience Degree level or equivalent in Social Work Why Liquid Personnel? Free DBS and compliance service Twice weekly payroll and ‘Faster Pay’ service, getting you paid more quickly Access to exclusive roles that aren’t available from other agencies Free access to Liquid’s exclusive social work training and CPD portal Your own dedicated consultant with extensive social work knowledge Access to a wide selection of social work positions across the UK “Refer a Friend” bonus – get £500 for each social worker you refer who we successfully place* “Find your own job” bonus – get £250 for bringing your own position to us * Liquid Personnel is an equal opportunities employer. Liquid Personnel Ltd is acting as an Employment Business in relation to this vacancy. * Terms and conditions apply to our bonus schemes. Reasonable Adjustments: If you consider yourself to have a disability or require any reasonable adjustment during the recruitment process or within the workplace, please highlight this at the earliest opportunity by contacting our team. With this information, we will provide appropriate support to you throughout the process and into your work placement. We are unable to support or accept applications from candidates who are residents within the Red or Amber list of the Code of practice for the international recruitment of health and social care personnel in England, based on the World Health Organisation (WHO) Workforce Support and Safeguard List. BH - 199896 GH - 35209", "summaryDescription" : "Social Worker - Preparing for Adulthood at Liquid Personnel. Skills: Social work, Transition planning, Needs assessment. Support transitions planning. Develop person-centred transition plans", "postedDate" : "2026-06-15T23:26:03.349", "createdAt" : "2026-06-15T23:26:03.349", "lastUpdated" : "2026-06-16T09:25:22.912", "ingestTimestamp" : "2026-06-15T23:26:03.349", "mongoId" : "6a306723f292fd229cfb99ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Social work", "Transition planning", "Needs assessment", "Transitions planning", "Care Act assessments", "Strengths-based support plans", "Preparing for Adulthood", "Social Work England registration" ], "skillCount" : 8, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 694.5066, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bfb74d8ee00a091617e", "title" : "Machine Operator", "company" : "Re-Bath", "industry" : "Manufacturing", "salary" : { "min" : 18.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Phoenix, Arizona, United States", "locations" : [ "Phoenix", "Arizona", "United States" ], "timestamp" : "2026-06-15T13:35:27.170", "fingerprint" : "51c469fe83f82816555be61a5b239837cbd60aae753115226d1cc042e839c21a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/rebathcorporate/jobs/4234631009", "externalId" : "4234631009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Quality assurance", "Machine maintenance" ], "hardSkills" : [ { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Machine maintenance", "level" : "intermediate" } ], "majorSkills" : "Machine operation, Quality control", "majorSkillsList" : [ "Machine operation", "Quality control" ], "coreResponsibilities" : "Set up plastic thermoforming machines, Operate plastic thermoforming machines, Load plastic materials, Inspect plastic materials, Monitor machine performance, Identify defects, Identify malfunctions, Perform quality checks, Inspect finished products, Complete quality assurance documentation, Perform minor machine maintenance, Communicate scrap concerns, Communicate defects concerns, Communicate concerns to leadership, Maintain a clean work environment, Maintain an organized work environment, Maintain a safe work environment, Support other departments", "teamCollaboration" : "Team-oriented environment; Part of a team", "domainKnowledge" : "Plastic thermoforming", "domainList" : [ "plastic-thermoforming" ], "domainSpecificKnowledge" : [ "Plastic thermoforming" ], "communicationSkills" : "Reading; Writing; Speaking", "documentationSkills" : "Quality assurance documentation", "continuousLearning" : "Learn new skills", "specialRequirements" : "Occasional overtime, Stand for extended periods, Lift up to 50 lbs, Pass background check, Pass drug screen", "qualificationsBasic" : "Comfortable working with hands, Ability to follow safety guidelines, Ability to work independently, Ability to work as part of a team, Basic communication skills, Ability to stand for extended periods, Ability to lift up to 50 lbs, Willingness to learn, Willingness to take direction, Pass a 50 state background check, Pass a drug screen", "qualificationsPreferred" : "Experience in manufacturing environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Machine Operator Pay: Starting at $18.00-$19.00 (DOE) Shift: Second Shift (1:00 PM – 9:30 PM) Schedule: Monday – Friday (Occasional overtime as needed) At Re-Bath, we are looking for hands-on, dependable individuals who enjoy building, creating, and working in a team-oriented environment. As a Machine Operator, you will play a key role in producing high-quality components used in our bathroom remodeling projects. This is a great opportunity to join a stable, growing company where you can learn new skills, work at a steady pace, and be part of a supportive team. What You’ll Do Set up and operate plastic thermoforming machines Load and inspect plastic materials prior to processing Monitor machine performance and identify defects or malfunctions Perform quality checks throughout the production process Inspect finished products to ensure they meet company standards Complete required quality assurance documentation Perform minor machine maintenance as needed Communicate any scrap, defects, or concerns to leadership Maintain a clean, organized, and safe work environment Support other departments as needed What We’re Looking For Comfortable working with hands in a manufacturing environment Ability to follow safety guidelines and operating procedures Strong attention to detail and quality Ability to work both independently and as part of a team Basic communication skills (reading, writing, and speaking) Ability to stand for extended periods and lift up to 50 lbs Willingness to learn and take direction Ability to pass a 50 state background check and drug screen Benefits & Perks Paid Time Off (PTO) 10 Paid Holidays 401(k) with Company Match Medical, Dental, and Vision Insurance Free Life Insurance, Short-Term & Long-Term Disability Employee Assistance Program (EAP) Holiday Gift Cards Quarterly Bonus Opportunity Supportive, experienced leadership team Why Re-Bath? We’re more than a manufacturing team, we’re part of a company that helps transform homes and improve lives. If you’re looking for a stable role where your work directly contributes to the final product, we’d love to connect.", "summaryDescription" : "Machine Operator at Re-Bath. Skills: Machine operation, Quality control. Set up plastic thermoforming machines. Operate plastic thermoforming machines", "postedDate" : "2026-06-14T08:21:21.354", "createdAt" : "2026-06-14T08:21:21.354", "lastUpdated" : "2026-06-15T13:35:27.170", "ingestTimestamp" : "2026-06-14T08:21:21.354", "mongoId" : "6a2c6bfb74d8ee00a091617e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quality assurance", "Machine maintenance", "Machine operation", "Quality control", "Plastic thermoforming" ], "skillCount" : 5, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 665.4236, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8274d8ee00a0975ae4", "title" : "Senior Machine Learning Engineer, AI Platform", "company" : "WHOOP", "industry" : "Software", "salary" : { "min" : 150000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T06:59:18.575", "fingerprint" : "d8f1dbe304466cd029d4085adb57431ab70f4cf98552660230b93d5dd8e8d084", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/2f0f7250-a2ca-4062-b8e5-57f3e3b8e955/application", "externalId" : "2f0f7250-a2ca-4062-b8e5-57f3e3b8e955", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Spark, Scala, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Delta Lake, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow", "professionalSkills" : [ "System design", "MLOps", "Data engineering", "AI engineering", "ML engineering" ], "hardSkillsList" : [ "Machine learning", "AI engineering", "ML engineering", "Data pipelines", "Model evaluation", "Prompt design", "Fine-tuning", "Reinforcement learning", "Supervised fine-tuning", "Preference optimization", "Causal inference", "A/B testing", "Regression", "Classification", "Clustering", "Time-series analysis", "Statistical analysis" ], "softSkillsList" : [ "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI engineering", "level" : "intermediate" }, { "name" : "ML engineering", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Prompt design", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Supervised fine-tuning", "level" : "intermediate" }, { "name" : "Preference optimization", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Machine Learning, AI Platform, Large language models", "majorSkillsList" : [ "Machine Learning", "AI Platform", "Large language models" ], "coreResponsibilities" : "Design production AI systems, Build production AI systems, Operate production AI systems, Lead AI system initiatives, Build data pipelines, Curate data, Reshape data, Operationalize fine-tuning workflows, Operationalize evaluation workflows, Develop experimentation tooling, Develop evaluation frameworks, Develop model deployment tooling, Build feedback loops, Mentor other engineers, Share AI/ML best practices", "teamCollaboration" : "Partner with product; Partner with data science; Cross-functional teams", "projectManagementSkills" : [ "Problem definition", "Dataset design", "Lifecycle management" ], "domainKnowledge" : "Language models; Conversational AI; Predictive AI; Generative AI; LLM observability; Cloud data stacks; Modern LLM training; Alignment techniques; Data privacy; Sensitive data", "domainList" : [ "language-models", "conversational-ai", "predictive-ai", "generative-ai", "llm-observability", "cloud-data-stacks", "modern-llm-training", "alignment-techniques", "data-privacy", "sensitive-data" ], "domainSpecificKnowledge" : [ "Language models", "Conversational AI", "Predictive AI", "Generative AI", "LLM observability", "Cloud data stacks", "Modern LLM training", "Alignment techniques", "Data privacy", "Sensitive data" ], "toolProficiency" : [ "AI Studio", "MLflow" ], "communicationSkills" : "Influence across teams; Drive alignment", "problemSolvingSkills" : "Make engineering tradeoffs", "qualificationsBasic" : "3+ years applied ML, Hands-on LLM experience, Solid ML fundamentals, Proficiency in data manipulation, Familiarity with secure AI", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Onsite", "rawDescription" : "At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer by using AI to transform continuous physiological data into clear insights and actionable recommendations. Our AI platform is central to this mission, turning raw physiological signals into trusted, personalized guidance that members can act on every day. WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP’s AI-powered experiences, including WHOOP Coach, AI-powered Support, and new intelligent features across the product. In this role, you will own core components of the AI Platform that power our internal AI Studio https://engineering.prod.whoop.com/ai-studio/: evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tooling. You will partner closely with product and data science to translate real member needs into reliable, impactful AI systems that improve continuously based on real-world usage. RESPONSIBILITIES: - - Design, build, and operate production AI systems and scaffolding around language models that power conversational, predictive, and generative capabilities across WHOOP products. - Lead end-to-end AI system initiatives spanning problem definition, data flows, dataset design, evaluation harnesses, deployment, and iteration in close partnership with data science and product. - Build and maintain pipelines for collecting, curating, and reshaping messy, multi-source data into high-quality, well-structured training and evaluation datasets for language model–based systems. - Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs. - Develop tooling and frameworks that make experimentation, offline/online evaluation, and model deployment faster, safer, and more repeatable, including robust observability for AI features in production. - Build and maintain feedback loops that connect real member interactions, offline evaluations, and training data updates so that models improve continuously based on real-world behavior. - Mentor other engineers and data scientists, share best practices in applied AI/ML, and help elevate the overall technical bar of the AI Platform team. QUALIFICATIONS: - - 3+ years of experience in applied machine learning, AI engineering, or ML-focused software engineering roles, including significant work in production environments. - Hands-on experience building with modern language models (open-weight or API-based), including prompt design, fine-tuning, and rigorous evaluation. - Solid working understanding of ML fundamentals (dataset construction, feature engineering, training workflows, evaluation metrics, experiment design) sufficient to make good engineering tradeoffs and partner effectively with data scientists. - Familiarity with modern LLM training and alignment techniques such as supervised fine-tuning (SFT), direct preference optimization (DPO), and reinforcement learning (RL), and how they influence data requirements, evaluation strategies, and system design in production. - Proven track record building, shipping, and operating ML-powered systems end to end, from data pipelines (batch and/or streaming) that transform large datasets into usable training and evaluation sets to production deployments with inference optimization, observability, and lifecycle management. - Strong proficiency in data manipulation and analysis, including working with messy, multi-source, and semi-structured data and translating product questions into well-defined datasets, labels, and evaluation splits. - Familiarity with best practices for secure, privacy-aware AI and working with sensitive data. - Excellent communication and collaboration skills, with the ability to influence across teams and drive alignment on technical direction. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. Also check out our AI studio blog here. https://engineering.prod.whoop.com/ai-studio/ This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.", "summaryDescription" : "Senior Machine Learning Engineer, AI Platform at WHOOP. Skills: Machine Learning, AI Platform, Large language models. Design production AI systems. Build production AI systems", "createdAt" : "2026-06-14T09:11:14.456", "lastUpdated" : "2026-06-15T06:59:18.575", "ingestTimestamp" : "2026-06-14T09:11:14.456", "mongoId" : "6a2c8c8274d8ee00a0975ae4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning", "AI engineering", "ML engineering", "Data pipelines", "Model evaluation", "Prompt design", "Fine-tuning", "Reinforcement learning", "Supervised fine-tuning", "Preference optimization", "Causal inference", "A/B testing", "Regression", "Classification", "Clustering", "Time-series analysis", "Statistical analysis", "Mentoring", "Critical thinking", "Machine Learning", "AI Platform", "Large language models", "System design", "MLOps", "Data engineering", "Problem definition", "Dataset design", "Lifecycle management", "Language models", "Conversational AI", "Predictive AI", "Generative AI", "LLM observability", "Cloud data stacks", "Modern LLM training", "Alignment techniques", "Data privacy", "Sensitive data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "AI Studio", "MLflow" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 627.1657, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c917674d8ee00a0982e69", "title" : "English Language Guide", "company" : "Guidepost Global Education Asia", "industry" : "Education", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an English Language Guide in Hong Kong, adjusted for mid-seniority and the education industry." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "certifications" : [ "Montessori Certification (AMI/AMS)" ], "timestamp" : "2026-06-15T06:51:13.698", "fingerprint" : "c3c7a603e92208fca3eb8ae5366b2b7a1ea4ec5335650e91e712db376ecc8c53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gge-asia/jobs/7959940", "externalId" : "7959940", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Montessori principles" ], "hardSkillsList" : [ "Child supervision", "Lesson presentation", "Child observation", "Progress documentation" ], "hardSkills" : [ { "name" : "Child supervision", "level" : "intermediate" }, { "name" : "Lesson presentation", "level" : "intermediate" }, { "name" : "Child observation", "level" : "intermediate" }, { "name" : "Progress documentation", "level" : "intermediate" } ], "majorSkills" : "Montessori education, Classroom management", "majorSkillsList" : [ "Montessori education", "Classroom management" ], "coreResponsibilities" : "Lead a Model Classroom, Create prepared environment, Maintain prepared environment, Provide close supervision, Ensure child safety, Comply with ratios, Work with Assistant Guides, Present Montessori lessons, Observe each child, Document child progress, Meet child needs, Interact with children, Implement feedback, Problem-solve student issues, Open classroom to tours, Open classroom to observation, Communicate with parents, Provide feedback to parents, Meet with parents, Resolve student issues, Create a Community, Participate in staff meetings, Participate in supervisor meetings, Participate in mentor meetings, Participate in outreach, Participate in celebrations, Participate in events, Pursue professional development", "teamCollaboration" : "Work with Assistant Guides; Work with Lead Guides; Work with supervisor; Work with Montessori Mentor; Work with Head of School; Work with other staff", "domainKnowledge" : "Montessori standards; Montessori principles", "domainList" : [ "montessori-standards", "montessori-principles" ], "domainSpecificKnowledge" : [ "Montessori standards", "Montessori principles" ], "communicationSkills" : "Individualized communication; Formal feedback; Parent-teacher conferences; Progress reports; Portfolio preparation", "documentationSkills" : "Document progress", "continuousLearning" : "Annual professional development", "problemSolvingSkills" : "Problem-solve student issues", "qualificationsBasic" : "Degree in Education major, PGDE/PGCE degree, Experience working with children (0-6 years), Native English Speaker", "qualificationsPreferred" : "Montessori Certification (AMI/AMS) preferred, Passion for Montessori method, Growth mindset, Problem-solving approach", "workSiteFlexibility" : "Onsite", "rawDescription" : "Core Job Responsibilities Lead a Model Classroom Create and maintain an aesthetically appealing, safe, and clean Montessori prepared environment Provide close supervision to children, always making sure they are safe, and the group is in compliance with city -mandated teacher to child ratios Work closely with Assistant Guide(s) to ensure a high-quality Montessori environment is established and maintained Present sequential Montessori lessons in accordance with the Guidepost Montessori standards as established in training Observe each child, regularly document his or her progress, strengths, interests, and areas for improvement, and apply your knowledge of Montessori principles to ensure each child’s individual needs are met Interact with children in a warm, joyful, respectful manner that fosters their independence Implement feedback provided by other Lead Guides, your Montessori Mentor, and your Head of School Problem-solve challenging student issues with other Lead Guides, your Montessori Mentor, and your Head of School Open classroom to regular parent tours Open classroom to observation by parents and other staff members Provide Exceptional Customer Service to Parents Communicate regularly with each parent in an individualized manner using approved communication tools provided by Guidepost Montessori (i. e. email, photo-sharing software, newsletters, etc). Provide cumulative, formal feedback to parents on student progress, which might include twice-yearly parent-teacher conferences, progress reports, and/or portfolio preparation. Meet with parents on an individualized basis to discuss and resolve student issues as they arise Create a Strong Community on Campus Participate in regular staff meetings Participate in one-on-one meetings with supervisor and Montessori Mentor Participate in community outreach, classroom celebrations, and parent information events Actively participate and pursue annual professional development Work Location : Pok Fu Lam Qualifications Degree in (Early childhood) Education major, PGDE/PGCE degree Montessori Certification (AMI/AMS) preferred Native English Speaker Experience working with children of the appropriate age group (0-6 years) Passion for the Montessori method of education Growth mindset and problem-solving approach", "summaryDescription" : "English Language Guide at Guidepost Global Education Asia. Skills: Montessori education, Classroom management. Lead a Model Classroom. 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BAYADA Home Health Care is currently seeking a Speech Language Pathologist (SLP) to join our Big Island Visits team. SLP’s work with clients in their home, craft treatment plans, and apply innovative techniques to help them reach their goals. You will be an integral member of a multi-disciplinary health care team that provides skilled nursing and rehabilitative care to clients, affording them the opportunity to remain at home. We believe our clients and their families deserve the highest quality home health care delivered with compassion, excellence, and reliability. Delivering this care is our highest priority and greatest joy. We want you to join us! How You’ll Make an Impact: Perform thorough evaluations to assess, diagnose and provide therapeutic interventions for clients who are experiencing, speech, language, communication or swallowing difficulties Develop a treatment plan based on the evaluation, physician’s orders and recommended goals Continually assess and revise the speech therapy care plan and participate with BAYADA Clinicians in the multidisciplinary care plan, as appropriate Educate and instruct patients, family members, or other patient representatives, in rehabilitative care and activities necessary to promote the client's health, safety and independent living Accurately document observations, interventions and evaluations pertaining to patient care management and services provided, utilizing a state-of-the-art touch pad tablet Compensation referral bonuses Paid Time Off: PTO (paid time off) and paid holidays Reimbursements: Mileage reimbursement or schedule-specific benefits Life Insurance: Employer-paid life insurance Wellness: Employee Assistance Program (EAP) Qualifications for a BAYADA Speech Language Pathologist: A current license as a Speech Language Pathologist in Hawaii One year experience as a Speech Language Pathologist Thrive in a Culture That Cares: We put your well-being first, fostering an inclusive and collaborative environment of belonging where you can achieve your goals. Don't just take our word for it: Voted by Star-Advertiser Readers as the #1 Non-Medical Home Care Provider   Forbes Top 10 Employer in Hawaii, 3 years in a row  Newsweek's Greatest Workplace for Overall, Women, Parents & Families, Diversity Forbes Best Employers for Veterans Be part of a caring, professional team that is instrumental in providing the highest quality care while developing your career with an industry leader. Apply now for immediate consideration. As a BAYADA Speech Language Pathologist you will be prepared to succeed. Paid training from day one in the office, in the home, and online to make sure you feel confident. Clinical support whenever you need it around the clock. BAYADA recognizes and rewards our SLPs who set and maintain the highest standards of excellence. We can’t wait to meet you! Locations We’re Hiring: Hilo, Hawaii Type: Per Diem Base Pay, depending upon qualifications and subject to negotiation: $80-$90 per point As an accredited, regulated, certified, and licensed home health care provider, BAYADA complies with all state/local mandates. BAYADA is celebrating 50 years of compassion, excellence, and reliability. Learn more about our 50th anniversary celebration and how you can join in here. BAYADA Home Health Care, Inc., and its associated entities and joint venture partners, are Equal Opportunity Employers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, age, disability, pregnancy or maternity, sexual orientation, gender identity, citizenship status, military status, or any other similarly protected status in accordance with federal, state and local laws. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.", "summaryDescription" : "Speech Language Pathologist at BAYADA Home Health Care", "postedDate" : "2026-06-15T23:19:47.007", "createdAt" : "2026-06-15T23:19:47.007", "lastUpdated" : "2026-06-16T08:33:00.677", "ingestTimestamp" : "2026-06-15T23:19:47.007", "mongoId" : "6a3056b3f292fd229cf2d4c2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 90, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 611.552, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306999f292fd229cfc8f49", "title" : "Machine Builder", "company" : "Smart Ims", "industry" : "Electrical And Electronic Manufacturing", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Machine Builder in Holland, United States, adjusted for industry and company size." }, "location" : "Holland, MI, United States", "locations" : [ "Holland", "MI", "United States" ], "timestamp" : "2026-06-16T10:34:00.576", "fingerprint" : "b334e7020489161e46b9afbdd7773070b26ff0085d778a83e9c1c8e1c7cc6ad5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmartIms1/744000132210079-machine-builder", "externalId" : "744000132210079", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Holland", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7876022,-86.1090828" } ], "locationText" : "Holland, Michigan, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Mechanical aptitude", "Safety focus", "Quality focus" ], "majorSkills" : "Machine building", "majorSkillsList" : [ "Machine building" ], "coreResponsibilities" : "Sorting of machine building materials", "teamCollaboration" : "Working as part of a team", "continuousLearning" : "On-the-job training", "specialRequirements" : "Bending, Kneeling, Climbing ladders, Climbing onto and beneath machines, Work OT", "qualificationsBasic" : "Basic computer skills, Intermediate proficiency reading part and assembly drawings, Proven mechanical aptitude, Proven ability to accept direction, Ability to maintain a steady pace, Ability to lift up to 50 lbs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Onsite Role * Hours: 7am- 3:30pm may on occasion work OT • Basic computer skills. • Intermediate proficiency reading part and assembly drawings. • Proven mechanical aptitude with a focus on safety and quality. • Proven ability to accept direction and complete tasks as assigned while working as part of a team or individually. • Ability to maintain a steady pace while bending, kneeling, climbing ladders, and climbing onto and beneath machines. • Ability to lift up to 50 lbs. as required. • Sorting of machine building materials as needed. • Participate in on-the-job training with a lead machine builder.", "summaryDescription" : "Machine Builder at Smart Ims. Skills: Machine building. Sorting of machine building materials", "postedDate" : "2026-06-15T14:00:06.000", "createdAt" : "2026-06-16T00:00:57.935", "lastUpdated" : "2026-06-16T10:34:00.576", "ingestTimestamp" : "2026-06-16T00:00:57.935", "mongoId" : "6a306999f292fd229cfc8f49", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Machine building", "Mechanical aptitude", "Safety focus", "Quality focus" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 599.38983, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca13a74d8ee00a09a4cb2", "title" : "Senior Software Engineer in Machine Learning", "company" : "Cogent Labs", "industry" : "Technology", "salary" : { "min" : 1.0E7, "max" : 1.6E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in Machine Learning in Tokyo, Japan, adjusted for industry and company size." }, "location" : "Tokyo, JP", "locations" : [ "Tokyo", "JP" ], "timestamp" : "2026-06-16T02:47:08.709", "fingerprint" : "8af1ec88abe2c8576b3083e558b4522a4458d89b79fa8cd75de87d7298621aac", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://cogentlabs.breezy.hr/p/76719323b1ac-senior-software-engineer-in-machine-learning", "externalId" : "76719323b1ac", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine Learning", "majorSkills" : "Machine Learning", "majorSkillsList" : [ "Machine Learning" ], "coreResponsibilities" : "Design machine-learning solutions, Develop machine-learning solutions, Enhance machine-learning solutions, Deploy machine-learning solutions, Serve machine-learning solutions", "outcomesObjectives" : "Solve real-world business challenges", "qualificationsBasic" : "Experienced Machine Learning Software Engineer", "remoteFriendly" : false, "rawDescription" : "Job description Cogent Labs is seeking an experienced Machine Learning Software Engineer to design, develop, and enhance machine-learning solutions for our products, aimed at solving real-world business challenges. As a member of our highly skilled team, you will be responsible for deploying/servin", "summaryDescription" : "Senior Software Engineer in Machine Learning at Cogent Labs. Skills: Machine Learning. Design machine-learning solutions. Develop machine-learning solutions", "createdAt" : "2026-06-14T20:33:37.986", "lastUpdated" : "2026-06-16T02:47:08.709", "ingestTimestamp" : "2026-06-14T20:33:37.986", "mongoId" : "6a2ca13a74d8ee00a09a4cb2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine Learning" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 592.8955, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8470f0b99d5843f9df", "title" : "Machine Learning Engineer", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, USA", "locations" : [ "Mountain View, California, USA" ], "timestamp" : "2026-06-15T00:02:22.559", "fingerprint" : "e75d0a6ec103b3d8b8601922c81f3aeaefa87266e06a1e76d5d69554239a2b88", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137784/apply", "externalId" : "85dedbbd-02e5-46d2-b4a2-f0af1acb33e3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Large Language Models, Generative AI, AWS, FSDP, DeepSpeed, AWS Inferentia, AWS Trainium, AWS Neuron SDK", "professionalSkills" : [ "System design", "AI accelerators", "Model optimization" ], "hardSkillsList" : [ "Distributed training", "Reinforcement Learning", "Custom kernels development" ], "hardSkills" : [ { "name" : "Distributed training", "level" : "intermediate" }, { "name" : "Reinforcement Learning", "level" : "intermediate" }, { "name" : "Custom kernels development", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Large Language Models, Generative AI, AWS", "majorSkillsList" : [ "Machine Learning", "Large Language Models", "Generative AI", "AWS" ], "coreResponsibilities" : "Design distributed training pipelines, Implement distributed training pipelines, Adapt LLMs for new languages, Adapt LLMs for domains, Adapt LLMs for vision applications, Optimize AI models for deployment, Develop custom kernels, Interact with enterprise customers, Interact with foundational model providers, Co-develop tailored generative AI solutions", "teamCollaboration" : "Multidisciplinary team; Customer collaboration; Foundational model providers", "domainKnowledge" : "Generative AI; Large Language Models; AWS Silicon; AI accelerators", "domainList" : [ "generative-ai", "large-language-models", "aws-silicon", "ai-accelerators" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AWS Silicon", "AI accelerators" ], "toolProficiency" : [ "AWS Neuron SDK" ], "innovationCreativity" : "Innovate at forefront of AI; Develop custom LLMs", "problemSolvingSkills" : "Optimize models for performance; Optimize models for efficiency", "outcomesObjectives" : "Deploy customized generative AI applications; Enhance performance and efficiency; Deliver next-generation AI solutions", "qualificationsBasic" : "Bachelor's degree in Computer Science, 2+ years professional software development, 2+ years system design or architecture, Hands-on deep learning experience, Hands-on machine learning experience, Hands-on generative AI technology", "qualificationsPreferred" : "Experience training ML systems, Experience deploying ML systems, 2+ years full SDLC experience, Experience with ML library or framework", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients. Key job responsibilities - Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency - LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) - Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance - Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - 2+ years of professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) - Hands-on experience with generative AI technology Preferred Qualifications: - Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in software development - 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Hands-on experience with at least one ML library or framework Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Machine Learning Engineer at Amazon Web Services, Inc.. Skills: Machine Learning, Large Language Models, Generative AI, AWS. Design distributed training pipelines. 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From apartments in New York to hospitals and stadiums in Dallas, libraries at prestigious universities to creating modern retail experiences, our teams contribute architectural glass and building products to projects that shape the way people live, work, heal, learn, and play. At OBE, the work of our employees truly matters. With over 6,500 employees, we operate more than 80 manufacturing and distribution facilities in five countries. You can see some of our favorite projects here. Start your journey with OBE and help us build the future. What You’ll Get to Do The Machine Operator is focused on operating various types of equipment to prepare glass for the next department and/or the end user customer. This position requires operation of Tempering equipment, and reports to the Production Supervisor. This role is perfect for an individual who has an attention to detail (safety, quality, efficiency) strong work ethic/reliability and is a problem solver. A vital member of the Tempering Department, this is an opportunity to build a career with an industry leader. Job responsibilities include: On/off-loading of the product from tables, rolling racks, delivery trucks, or wood crates. Review work orders and load the proper data into the machine computer software. Adhere to production requirements. Adhere to the quality control plan. Visually inspect each piece of glass to ensure there are no imperfections. Ability to operate a variety of production equipment (i. e. cutting equipment, grinders, CNC machines, tempering oven, robotic equipment). Attach appropriate labels and tags to products and packages. Read and interpret basic mathematical measurements while effectively using a tape measure to verify correct dimensions. What We Are Looking For Must be at least 18 years of age. Must have 1-2 years of prior machine operation experience in a manufacturing setting. Ability to read, understand, and communicate. Ability to work independently and prioritize work with deadlines; ability to work overtime when required. Work performed inside a production environment. Ability to lift up to 75lbs unassisted. Ability to stand on your feet for 8-10 hours per day on a concrete floor. Noise levels in the work environment can be moderate to high. The plant facility is subject to the same climate conditions of the region (heat, cold, humidity, etc.) What OBE Offers You Benefits that benefit you – industry competitive benefits at the lowest cost to the employee Work-life balance – PTO and holidays, including floating holidays you can choose Compensation that rewards your hard work – A pay-for-performance culture with potential for annual raises and bonuses Training – We will equip you with the knowledge and skills you need to succeed OBE Privacy Policy OBE will not discharge or discriminate against employees or applicants for discussing, disclosing, or inquiring about their own or others' pay.", "summaryDescription" : "Machine Operator 1 at Oldcastle BuildingEnvelope. Skills: Machine operation, Quality control, Production requirements. Operate tempering equipment. On/off-load product", "postedDate" : "2026-06-13T21:08:37.666", "createdAt" : "2026-06-13T21:08:37.666", "lastUpdated" : "2026-06-15T08:15:09.939", "ingestTimestamp" : "2026-06-13T21:08:37.666", "mongoId" : "6a2ca50b74d8ee00a09b464f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Read work orders", "Operate production equipment", "Verify dimensions", "Machine operation", "Quality control", "Production requirements", "Process management", "Resource planning", "Continuous improvement", "Architectural glass", "Building products", "Machine computer software" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 585.10077, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0d826358b93c861e9633fe", "title" : "German Language Teacher", "company" : "German American Chambers of Commerce", "industry" : "Education", "salary" : { "min" : 25000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a part-time German Language Teacher in Germany, adjusted for mid-seniority and the education industry." }, "location" : "New York, NY", "locations" : [ "New York", "NY" ], "timestamp" : "2026-06-16T02:57:38.802", "fingerprint" : "876fe52fea816693c3ca121053d85c3425f7d973c2805a1c541dda86bd8917f8", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://german-american-chambers-of-commerce.breezy.hr/p/c8394dc28651-german-language-school-german-language-teacher", "externalId" : "c8394dc28651", "industryFunction" : { }, "structuredLocations" : [ { "city" : "new york mills", "state" : "new york", "country" : "United States", "continent" : "north america", "source" : "locations-index", "geo" : "43.10535,-75.29128" } ], "locationText" : "New York, NY", "employmentType" : "PART_TIME", "majorSkills" : "German language", "majorSkillsList" : [ "German language" ], "coreResponsibilities" : "Teach German language classes, Develop curriculum, Assess student progress, Provide feedback to students, Collaborate with school administration", "domainKnowledge" : "German language pedagogy; German culture", "domainList" : [ "german-language-pedagogy", "german-culture" ], "domainSpecificKnowledge" : [ "German language pedagogy", "German culture" ], "qualificationsBasic" : "German language proficiency", "workSiteFlexibility" : "Onsite", "summaryDescription" : "German Language Teacher at German American Chambers of Commerce. Skills: German language. Teach German language classes. Develop curriculum", "createdAt" : "2026-06-14T20:31:46.002", "lastUpdated" : "2026-06-16T02:57:38.802", "ingestTimestamp" : "2026-06-14T20:31:46.002", "mongoId" : "6a0d826358b93c861e9633fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "German language", "German language pedagogy", "German culture" ], "skillCount" : 3, "jobCategory" : "education", "jobSubcategory" : "teaching", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 582.8737, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c968e74d8ee00a098feeb", "title" : "Machine Operator - 3rd Shift", "company" : "Monster Energy", "industry" : "Manufacturing", "salary" : { "min" : 17.0, "max" : 23.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arizona, United States", "locations" : [ "Arizona", "United States" ], "timestamp" : "2026-06-15T11:39:11.282", "fingerprint" : "2d2213182b82037e942553e23089de844ff3c9035417a3c8ee6b38ad7c6f7999", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/monsterenergy/jobs/4217294009", "externalId" : "4217294009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Arizona", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 3, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Resource planning" ], "hardSkillsList" : [ "Equipment operation", "Running maintenance", "Light duty troubleshooting", "Housekeeping practices", "Equipment cleaning", "CIP/Sanitation", "Product changeovers", "Package changeovers", "Record keeping" ], "hardSkills" : [ { "name" : "Equipment operation", "level" : "intermediate" }, { "name" : "Running maintenance", "level" : "intermediate" }, { "name" : "Light duty troubleshooting", "level" : "intermediate" }, { "name" : "Housekeeping practices", "level" : "intermediate" }, { "name" : "Equipment cleaning", "level" : "intermediate" }, { "name" : "CIP/Sanitation", "level" : "intermediate" }, { "name" : "Product changeovers", "level" : "intermediate" }, { "name" : "Package changeovers", "level" : "intermediate" }, { "name" : "Record keeping", "level" : "intermediate" } ], "majorSkills" : "Machine operation, Production process, Quality control", "majorSkillsList" : [ "Machine operation", "Production process", "Quality control" ], "coreResponsibilities" : "Operate and monitor line, Remove materials, Shift materials, Ensure package quality, Ensure product quality, Operate manufacturing equipment, Perform running maintenance, Perform housekeeping, Perform organizing, Execute light duty troubleshooting, Maintain clean work area, Clean equipment, Perform CIP/Sanitation, Expedite repairs to line, Deliver results, React to issues, Monitor system performance, Measure system performance, Report system performance, Conduct quality control, Perform product changeovers, Perform package changeovers, Maintain records of down time, Maintain records of machine operations, Communicate with manager, Communicate with mechanics, Communicate with other operators, Take direction, Complete assigned work", "teamCollaboration" : "Act as member of team; Work with maintenance; Communicate to solve problems", "domainKnowledge" : "Manufacturing environment", "domainList" : [ "manufacturing-environment" ], "domainSpecificKnowledge" : [ "Manufacturing environment" ], "toolProficiency" : [ "Computer-based workstation systems" ], "communicationSkills" : "Communicate with manager; Communicate with mechanics; Communicate with other operators", "documentationSkills" : "Maintain records of down time; Maintain records of machine operations", "problemSolvingSkills" : "Troubleshooting; Solve problems", "outcomesObjectives" : "Ensure production tasks completed efficiently; Ensure production tasks completed accurately; Uphold exceptional quality; Uphold standards", "qualificationsBasic" : "1-3 years machine operator role, 1-3 years manufacturing environment", "qualificationsPreferred" : "Bachelor's in Heavy Machinery, Bachelor's in Operations, Microsoft office skills, Knowledge of machine limits, Knowledge of machine capabilities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the game-changers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: As a Machine Operator at Monster Energy, you'll be at the heart of our production process, responsible for operating and maintaining equipment to ensure that production tasks are completed efficiently and accurately. Your efforts will ensure that production tasks are carried out with precision and efficiency, upholding the exceptional quality and standards that define Monster Energy's products. The Impact You'll Make: Operate and monitor line, removing or shifting materials and/or finished product as necessary to facilitate proper flow and machine operation. Ensure package and product quality. Operate all manufacturing equipment efficiently and safely. Performs all running maintenance, housekeeping and organizing. Execute light duty troubleshooting. Maintain clean work area throughout good housekeeping practices. Clean equipment during and after shift. Perform CIP/Sanitation as required. Expedite repairs to line, working with maintenance as necessary. Act as a member of team to deliver results and react to issues appropriate for situation Monitor, measure and report system performance. Conducts all quality control requirements. Perform product and package changeovers. Maintain accurate and current records of down time and machine operations Communicate with manager, mechanics, and other operators to solve problems, take direction and assigned work. Utilizes computer- based workstation systems. Who You Are: Prefer a Bachelor's Degree in the field of -- Heavy Machinery, Operations or related field of study Additional Experience Desired: Between 1-3 years of experience in a machine operator role Additional Experience Desired: Between 1-3 years of experience in manufacturing environment Computer Skills Desired: Microsoft office Additional Knowledge or Skills to be Successful in this role: Knowledgeable about the limits and capabilities of different machines is essential for optimal performance. Monster Energy provides competitive total compensation. The estimated hourly pay range for this position is listed below. Actual compensation may vary based on skills, qualifications, experience, and work location. Pay Range $17—$23 USD For United States applicants: Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. Read our privacy policy here: Privacy Policy", "summaryDescription" : "Machine Operator - 3rd Shift at Monster Energy. Skills: Machine operation, Production process, Quality control. Operate and monitor line. Remove materials", "postedDate" : "2026-06-14T03:28:04.402", "createdAt" : "2026-06-14T03:28:04.402", "lastUpdated" : "2026-06-15T11:39:11.282", "ingestTimestamp" : "2026-06-14T03:28:04.402", "mongoId" : "6a2c968e74d8ee00a098feeb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35360, "salaryAnnualMax" : 47840, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Equipment operation", "Running maintenance", "Light duty troubleshooting", "Housekeeping practices", "Equipment cleaning", "CIP/Sanitation", "Product changeovers", "Package changeovers", "Record keeping", "Machine operation", "Production process", "Quality control", "Process management", "Cross-functional coordination", "Resource planning", "Manufacturing environment", "Computer-based workstation systems" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 578.01733, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305de0f292fd229cf6ad16", "title" : "Senior Machine Learning Engineer (ACE)", "company" : "Grab", "industry" : "Information Technology And Services", "salary" : { "min" : 160000.0, "max" : 260000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Machine Learning Engineer in Petaling Jaya, Malaysia, adjusted for Grab's industry and company size." }, "location" : "Petaling Jaya, MY", "locations" : [ "Petaling Jaya", "MY" ], "timestamp" : "2026-06-16T09:33:29.869", "fingerprint" : "0e3e18ba8b1e373cc91ab5b9dd4d5f6fac8e57973e6bfbf16957a4e8e861725a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Grab/744000132200853-senior-machine-learning-engineer-ace-", "externalId" : "744000132200853", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Petaling Jaya", "state" : "Selangor", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.0988792,101.6454202" } ], "locationText" : "Petaling Jaya, Selangor, Malaysia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Scala, TensorFlow, PyTorch, Large Language Models", "professionalSkills" : [ "System design", "Spatial demand shaping" ], "hardSkillsList" : [ "Machine Learning", "Statistics", "Optimization algorithms", "Data mining", "Generative AI" ], "hardSkills" : [ { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Optimization algorithms", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" } ], "majorSkills" : "Machine Learning Engineering, Generative AI, Data Science", "majorSkillsList" : [ "Machine Learning Engineering", "Generative AI", "Data Science" ], "coreResponsibilities" : "Architect solutions that steer demand, Design spatial and temporal nudges, Build systems that power discoveries, Serve external AI demands, Identify customer patterns, Unlock new demand, Develop models to identify order risks, Develop models to identify cancellation probabilities, Automate 'who is at fault' logic, Facilitate proactive interventions, Lead the integration of Generative AI, Analyze massive datasets, Decode food ordering patterns, Optimize the end-to-end journey, Own the end-to-end lifecycle of ML models, Translate interactions into production-grade solutions, Partner with product managers, Partner with engineers, Partner with analytics teams, Partner with design teams, Partner with operations teams, Contribute to team's innovation, Contribute to IP creation", "teamCollaboration" : "Cross-Function Collaboration", "domainKnowledge" : "Geospatial demand; Proactive reliability; AI-driven discovery; Food ecosystem; Multi-party dispute arbitration; Spatial demand shaping", "domainList" : [ "geospatial-demand", "proactive-reliability", "ai-driven-discovery", "food-ecosystem", "multi-party-dispute-arbitration", "spatial-demand-shaping" ], "domainSpecificKnowledge" : [ "Geospatial demand", "Proactive reliability", "AI-driven discovery", "Food ecosystem", "Multi-party dispute arbitration", "Spatial demand shaping" ], "communicationSkills" : "Articulating technical insights", "innovationCreativity" : "IP creation", "problemSolvingSkills" : "Translate complex business problems", "qualificationsBasic" : "Bachelor's Degree with 4+ years of experience, Proficiency in Python or Scala, Deep understanding of ML/DL foundations, Deep understanding of optimization algorithms, Deep understanding of data mining, SQL proficiency, 4+ years of relevant experience in Machine Learning", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to Know the Team In the ACE (Online Deliveries, Omni-commerce) Data Science team, you are at the core of Grab's largest business pillars. We build and deploy AI/ML models to power seamless user experiences across the food ecosystem — from instant deliveries to restaurant reservations. Our mission is to enhance user satisfaction and platform efficiency by solving unique challenges in geospatial demand, proactive reliability, and transformative AI-driven discovery. You will report to our Senior Data Science Manager and based onsite in our office in Petaling Jaya, Selangor. Get to Know the Role As a Senior Machine Learning Engineer, you will lead the development of intelligent systems that shape how millions of users interact with Grab. You will move beyond basic forecasting to build proactive, \"self-healing\" reliability systems and leverage Generative AI to redefine the user experience. The Critical Tasks You Will Perform You will be working on machine learning engineering projects on one or a few areas below: * Strategic Demand Shaping: Architect solutions that steer demand toward higher serviceability. You will design spatial and temporal nudges — such as shifting users from on-demand to scheduled delivery models or redirecting orders from supply-constrained to under-utilized merchants — to maximize network throughput and balance platform capacity in real time. * Grab Content Enrichment: Transform \"thin\" or unstructured data into rich, machine-readable metadata. You will build systems that power new in-app discoveries and serve external AI demands (e.g., ChatGPT or Google's AI search). * Demand Generation & Growth: Identify \"hidden\" customer patterns across food and dining to unlock new demand for ACE. * Reliability & Dispute Arbitration: Predict friction before it happens. You will develop models to identify order risks and cancellation probabilities, automating \"who is at fault\" logic and facilitating proactive interventions to maintain platform trust. * Transformative GAI Experience: Lead the integration of Generative AI (GAI) to fundamentally evolve the current user journey and interface. Your key responsibilities are: * Extract Insights: Analyze massive datasets (transactional, behavioral, and geospatial) to decode food ordering patterns and optimize the end-to-end journey for food ordering journey. * Build, Iterate, and Deploy: Own the end-to-end lifecycle of ML models, translating tens of millions of eaters interactions into production-grade solutions through rigorous A/B testing and monitoring. * Cross-Function Collaboration: Partner with product managers, engineers, analytics, design and operations teams to scale solutions. * Innovation: Contribute to team's innovation and IP creation ## Qualifications What Essential Skills You Will Need * Education: Bachelor's Degree with 4+ years of relevant experience in Machine Learning, Statistics, Computer Science, Economics, or Operations Research. * Technical Depth: Deep understanding of ML/DL foundations, optimization algorithms, and data mining. Proficiency in frameworks like TensorFlow or PyTorch. Proven experience in the application of Large Language Models * Programming: Strong proficiency in Python or Scala. * Problem Solving: Translate complex business problems (like multi-party dispute arbitration or spatial demand shaping) into scalable math/code solutions. * Soft Skills: Motivated to learn and is able communicate by articulating technical insights to non-technical stakeholders. ## Additional Information Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: * We have your back with Term Life Insurance and comprehensive Medical Insurance. * With GrabFlex, create a benefits package that suits your needs and aspirations. * Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave * We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges. * Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For At Grab We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.", "summaryDescription" : "Senior Machine Learning Engineer (ACE) at Grab. Skills: Machine Learning Engineering, Generative AI, Data Science. Architect solutions that steer demand. Design spatial and temporal nudges", "postedDate" : "2026-06-15T13:22:09.000", "createdAt" : "2026-06-16T00:07:38.157", "lastUpdated" : "2026-06-16T09:33:29.869", "ingestTimestamp" : "2026-06-16T00:07:38.157", "mongoId" : "6a305de0f292fd229cf6ad16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Machine Learning", "Statistics", "Optimization algorithms", "Data mining", "Generative AI", "Machine Learning Engineering", "Data Science", "System design", "Spatial demand shaping", "Geospatial demand", "Proactive reliability", "AI-driven discovery", "Food ecosystem", "Multi-party dispute arbitration" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 571.2704, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e5f9bc74574cb67a511", "title" : "Pathologist Speech Language", "industry" : "Education", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Pathologist Speech Language in Sugar Land, United States, adjusted for the Education industry." }, "location" : "TEXAS-SUGAR LAND-TECHNICAL EDUCATION CENTER", "locations" : [ "TEXAS-SUGAR LAND-TECHNICAL EDUCATION CENTER", "
TECHNICAL EDUCATION CENTER (3)
540 DULLES AVENUE
SUGAR LAND, 77478

" ], "certifications" : [ "ASHA Certification", "TEA certification" ], "timestamp" : "2026-06-16T03:28:16.643", "fingerprint" : "4102728f37c8f29825e8926b707c871d2a12ce4473c2bbaa978de3759645df50", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=187632", "externalId" : "187632", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sugar Land", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.6196787,-95.6349463" } ], "locationText" : "Sugar Land, Texas, United States", "technicalSkills" : "Windows Operating System, Microsoft Office, Microsoft Word, Microsoft Excel, Microsoft PowerPoint", "professionalSkills" : [ "Speech evaluation", "Therapeutic intervention", "Medicaid billing", "Report writing", "Treatment plan development" ], "hardSkillsList" : [ "Speech assessment", "Data interpretation", "Data-based decision making", "Student outcomes monitoring" ], "hardSkills" : [ { "name" : "Speech assessment", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data-based decision making", "level" : "intermediate" }, { "name" : "Student outcomes monitoring", "level" : "intermediate" } ], "majorSkills" : "Speech Language Pathology, Individualized Education Plans, ARD meetings", "majorSkillsList" : [ "Speech Language Pathology", "Individualized Education Plans", "ARD meetings" ], "coreResponsibilities" : "Conduct evaluations to determine speech/language disability, Determine educational need for specialized instruction, Provide recommendations to support communication, Develop individualized education plans, Conduct ARD meetings, Ensure appropriate programming for students, Provide therapeutic intervention, Provide classroom support, Eliminate or reduce communication problems/impairments, Maintain compliance of all federal / local timelines, Maintain individual records, Maintain Medicaid billing, Maintain state performance plan indicators 7, 11, &, Provide services consistent with speech goals, Develop functional individualized education plans, Gather and interpret data, Conduct assessments to identify communication disorders, Establish eligibility for services, Inform instruction and intervention, Plan ARD committee meetings, Conduct ARD committee meetings, Participate in ARD committee meetings, Plan staffings, Conduct staffings, Participate in staffings, Plan parent meetings, Conduct parent meetings, Participate in parent meetings, Develop individualized education program (IEP), Develop treatment plan/therapy log, Support student services, Collaborate with other professionals, Collaborate with classroom teachers, Offer assistance in addressing linguistic foundations, Offer assistance in addressing metalinguistic foundations, Compile reports, Maintain reports, File reports, Submit reports, Compile records, Maintain records, File records, Submit records, Compile documents, Maintain documents, File documents, Submit documents, Engage in continuing education experiences, Engage in professional development, Supervise licensed assistants, Supervise clinical fellowship year interns, Supervise students", "teamCollaboration" : "Collaborate with other professionals; Collaborate with classroom teachers", "domainKnowledge" : "Speech Language Pathology; Communication disorders; Educational program; Least restrictive environment; Evidence based practices; Federal mandates; State mandates; Local board policy; Curriculum learning; Students with disabilities; Bodily fluids; De-escalation techniques; Restraint techniques", "domainList" : [ "speech-language-pathology", "communication-disorders", "educational-program", "least-restrictive-environment", "evidence-based-practices", "federal-mandates", "state-mandates", "local-board-policy", "curriculum-learning", "students-with-disabilities", "bodily-fluids", "de-escalation-techniques", "restraint-techniques" ], "domainSpecificKnowledge" : [ "Speech Language Pathology", "Communication disorders", "Educational program", "Least restrictive environment", "Evidence based practices", "Federal mandates", "State mandates", "Local board policy", "Curriculum learning", "Students with disabilities", "Bodily fluids", "De-escalation techniques", "Restraint techniques" ], "toolProficiency" : [ "Windows", "Microsoft Office", "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Medicaid billing; Report writing; Treatment plan development; Therapy log development", "continuousLearning" : "Continuing education experiences; Professional development", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Lifting less than 40 pounds, Use hands to finger, Handle objects, Feel objects, Use tools, Reach with hands, Talk or hear, Close vision, Color vision, Adjust focus, Attendance at conferences, Attendance at professional development, Normal safety precautions, Prolonged hours, Irregular hours, Maintain emotional control, Exposure to bodily fluids, Physically restraining students, Travel to various campuses, Travel to district meeting sites, Work some overtime", "outcomesObjectives" : "Support communication; Monitor student outcomes", "qualificationsBasic" : "Master's Degree Speech Language Pathology or related field, Bachelor's Degree with TEA certification in Speech and Language Therapy or Speech and Hearing Therapy, ASHA Certification Clinical Fellowship Year and/or Master's degree with TX license, Valid Texas license as a Speech Pathologist granted by Texas Board of Examiners for Speech-Language Pathology or Audiology, Proficient in using Windows Operating System, Proficient in Microsoft Office applications, Must be able to effectively communicate information and ideas both verbally and in writing, Must have organizational skills, Must have communication skills, Must have interpersonal skills, Must be able to solve complex problems, Must be able to handle stressful situations, Must be able to administer, score, and interpret standardized speech assessment instruments for children", "qualificationsPreferred" : "Minimum of 1 year experience as a Speech Language Pathologist in public schools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Pathologist Speech Language will conduct evaluations to determine a speech/language disability condition, an educational need for specialized instruction, and provide recommendations to support communication. The incumbent will develop individualized education plans and conduct ARD meetings to ensure appropriate programming for students within the least restrictive environment. The Pathologist Speech Language will provide therapeutic intervention and classroom support to eliminate or reduce communication problems/impairments that interfere with the students' ability to derive full benefit from the educational program. The incumbent will maintain compliance of all federal / local timelines, individual records, Medicaid billing, and state performance plan indicators 7, 11, & 12. Position Description Essential Duties and Responsibilities Service Delivery Plan and provide services that are appropriate and consistent with speech goals contained in the individual education plan (IEP) Develop functional individualized education plans based on the communication needs of the student Provide intervention that is appropriate to the age and learning needs of each individual student Gather and interpret data with individual students, as well as, overall program evaluation to support data-based decision making and monitor student outcomes Compliance Comply with and meet federal and state mandates and local board policy Conduct assessments in collaboration with others that help to identify students with communication disorders as well as to establish eligibility and inform instruction and intervention, consistent with evidence based practices Plan, conduct, and/or participate in ARD committee meetings, staffings, parent meetings, etc. Comply with and meet federal and state mandates and local board policy (i.e. activities may include individualized education program (IEP) development, Medicaid billing, report writing, and treatment plan/therapy log development Administrative/ Campus Support Support student services provided by the speech language therapist Collaborate with other professional/classroom teachers and offer assistance in addressing the linguistic and metalinguistic foundations of curriculum learning for students with disabilities Compile, maintain, and file/submit all reports, records, and other documents required Engage in continuing education experiences and professional development to enhance the skills / knowledge necessary to serve a diverse student body Supervisory Responsibilities ASHA CCC/SLP's: Supervise licensed assistants in speech-language pathology, clinical fellowship year interns, and students as needed Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Master's Degree Speech Language Pathology or related field Bachelor's Degree with TEA certification in Speech and Language Therapy or Speech and Hearing Therapy also acceptable ASHA Certification Clinical Fellowship Year and/or Master's degree with TX license accepted Valid Texas license as a Speech Pathologist granted by Texas Board of Examiners for Speech-Language Pathology or Audiology Minimum of 1 year experience as a Speech Language Pathologist in public schools preferred Must be proficient in using Windows Operating System as well as Microsoft Office applications (Microsoft Word, Excel, and PowerPoint) Must be able to effectively communicate information and ideas both verbally and in writing Must have strong organizational, communication and interpersonal skills Must be able to solve complex problems and handle stressful situations Must be able to administer, score, and interpret standardized speech assessment instruments for children Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information This position may have exposure to bodily fluids and the employee must be capable of physically restraining students when necessary following the approved de-escalation/restraint techniques. This position requires travel to various campuses and district meeting sites. This position may be required to work some overtime as defined by the needs of the department. This position is funded by grant funds. This position may be discontinued if grant funds are no longer available. TEXAS-SUGAR LAND", "summaryDescription" : "Pathologist Speech Language. Skills: Speech Language Pathology, Individualized Education Plans, ARD meetings. Conduct evaluations to determine speech/language disability. Determine educational need for specialized instruction", "createdAt" : "2026-06-14T19:47:29.489", "lastUpdated" : "2026-06-16T03:28:16.643", "ingestTimestamp" : "2026-06-14T19:47:29.489", "mongoId" : "69ce5e5f9bc74574cb67a511", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Speech assessment", "Data interpretation", "Data-based decision making", "Student outcomes monitoring", "Speech Language Pathology", "Individualized Education Plans", "ARD meetings", "Speech evaluation", "Therapeutic intervention", "Medicaid billing", "Report writing", "Treatment plan development", "Communication disorders", "Educational program", "Least restrictive environment", "Evidence based practices", "Federal mandates", "State mandates", "Local board policy", "Curriculum learning", "Students with disabilities", "Bodily fluids", "De-escalation techniques", "Restraint techniques", "ASHA Certification", "TEA certification", "Windows", "Microsoft Office", "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint" ], "skillCount" : 31, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 567.93835, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c953374d8ee00a098c912", "title" : "Speech-Language Pathologist", "company" : "Ally Behavior Centers", "location" : "Chantilly, Virginia, USA", "locations" : [ "Chantilly", "Virginia", "USA" ], "certifications" : [ "ASHA certification", "BLS", "Speech Therapy licensure" ], "timestamp" : "2026-06-15T08:40:20.570", "fingerprint" : "02c1b0577f7a3d5c69b8c5fa10d503f3dbbb3f8880d4fe67818fdd81a0b532d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/allybehaviorcenters/jobs/4115174009", "externalId" : "4115174009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chantilly", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Chantilly, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "Speech Therapy", "professionalSkills" : [ "Applied Behavior Analysis (ABA) therapy, early intervention for children with autism, HIPAA protocol." ], "hardSkillsList" : [ "Speech Therapy", "parent training", "client caseload management", "diaper changing", "toileting assistance" ], "softSkillsList" : [ "energetic, motivated, enthusiasm, patience, calm demeanor" ], "hardSkills" : [ { "name" : "Speech Therapy", "level" : "intermediate" }, { "name" : "parent training", "level" : "intermediate" }, { "name" : "client caseload management", "level" : "intermediate" }, { "name" : "diaper changing", "level" : "intermediate" }, { "name" : "toileting assistance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "energetic, motivated, enthusiasm, patience, calm demeanor" } ], "majorSkills" : "Speech Therapy, ABA therapy, client caseload management, parent training, collaboration", "majorSkillsList" : [ "Speech Therapy, ABA therapy, client caseload management, parent training, collaboration" ], "coreResponsibilities" : "Carry a client caseload of up to 23 clients, complete parent training, meet billable hour expectations, collaborate with OTs and BCBAs, attend team meetings, maintain client confidentiality, and communicate with families and clinical teams.", "teamCollaboration" : "Collaborate with Occupational Therapists and Board Certified Behavior Analysts to coordinate the therapy of shared clients. Performance in team settings & collaboration with others.", "toolProficiency" : [ "HIPAA" ], "communicationSkills" : "Effective communication skills; open communication", "documentationSkills" : "Maintain strict client confidentiality", "continuousLearning" : "In-house CEU's and professional development opportunities. Annual CEU Stipend of $1,000. Commitment to learn and pursue professional development.", "innovationCreativity" : "Creative solutions to problems with the ability to quickly adapt.", "problemSolvingSkills" : "Creative solutions to problems; ability to quickly adapt", "specialRequirements" : "Must submit to a federal, state, and county background check. This position is NOT eligible for Visa sponsorship.", "outcomesObjectives" : "Deliver the highest quality therapy to help early learners reach their potential to communicate, improve social skills, and prepare for academic success. Facilitate collaboration of care and superior treatment outcomes.", "qualificationsBasic" : "Masters Degree from an accredited program in Speech Language Pathology. Current and active Speech Therapy licensure. Meet ASHA certification requirements. Experience with early intervention and working with children with autism. Ability to be on-site 8:30am-5:30pm Monday-Friday. Reliable transportation and valid driver's license. Must pass background check. Ability to sit on the floor, kneel, crawl, squat, run or stand for extended periods. Ability to reach and hold objects. Ability to lift 30 pounds.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ally Behavior is a full-time, center-based, early intervention Applied Behavior Analysis (ABA) therapy program, serving children with autism ranging from 18 months to 6 years of age. Our mission is to deliver the highest quality therapy to help our early learners reach their potential to communicate, improve social skills, and prepare for academic success. The children we serve are at the heart of everything we do and we are passionate about our commitment to having a meaningful impact in the lives of our children and their families. What Makes Us Unique: Full-time center-based work with a compensation potential of up to $100,000+ Monthly billable hour bonus eligibility In-house CEU's and professional development opportunities Loan forgiveness and tuition assistance up to $21,000 Guaranteed semi-monthly paycheck, regardless of client cancellations Interdisciplinary teams with Occupational Therapists & Board Certified Behavior Analysts Annual CEU Stipend of $1,000 Job Summary: To facilitate collaboration of care and superior treatment outcomes for our young learners, we currently have an opening for a Speech-Language Pathologist (SLP). Our center-based program delivers intensive early intervention for young children with autism. Each child receives 1-on-1 ABA therapy delivered by a technician and overseen by a Board Certified Behavior Analyst (BCBA) through the day. Most of our learners require Speech Therapy in addition to ABA and Occupational Therapy. We are looking for an energetic, motivated individual to provide high quality Speech Therapy, collaborate with our clinicians on case management, and help our learners maximize their potential. Ally Behavior is a dynamic, fun, and rewarding place to work that offers superior growth and leadership opportunities in a supportive, engaging environment. We have a unique and collaborative culture that is driven by our diverse team of professionals and our core values of Serving Others, Treatment Excellence, All One Ally, Resourceful in Finding Solutions, and Striving to Grow. Our comprehensive onboarding and training approach will support and prepare you to provide the best possible therapy to our clients! Your Day-to-Day Responsibilities: Carry a client caseload of up to 23 clients Complete parent training with each client on their caseload once per quarter Complete a parent training following an evaluation or reevaluation within one month. Meet the billable hour expectations of 40 thirty-minute sessions (20 billable hours) per week Collaborate with Occupational Therapists and Board Certified Behavior Analysts to coordinate the therapy of shared clients Attend team meetings as scheduled Maintain strict client confidentiality following HIPAA protocol Maintain open communication with families and clinical teams to ensure the most effective treatment and goals Due to the nature of working with young children, all clinical staff are required to change diapers, assist with toileting, and be able to physically work on the floor with children Experiential & Certification Requirements: Masters Degree required from a program in Speech Language Pathology which is accredited by the Education Standards Board or whose practice meets ASHA certification requirements Current and active Speech Therapy licensure in the state(s) of hire Meet the education and experience requirements for Certification of Clinical Competence in Speech Language Pathology or Audiology granted by ASHA Current Basic Life Support (BLS) certification Experience with early intervention and working with children with autism Ability to be on-site from 8:30am-5:30pm Monday through Friday required Reliable transportation and a valid driver's license Must submit to a federal, state, and county background check Physical Requirements: Ability to sit on the floor, kneel, crawl, squat, run or stand for extended periods of time Ability to reach and hold objects Ability to lift 30 pounds What You Will Bring: Enthusiasm to make a difference working with young children and their families Ability to maintain a caseload with a weekly billable hour requirement Exceptional ability in building trusting relationships and maintaining confidentiality Commitment to learn and pursue professional development Strong knowledge of SLP principles Strong leadership qualities Demonstration of professionalism and adherence to Ally policy to team members Effective communication skills Multi-tasking & time management Creative solutions to problems with the ability to quickly adapt Patience and calm demeanor in stressful situations Strong performance in team settings & collaboration with others What We Offer When Joining Our Team: Salaried, full-time position Monthly bonus eligibility (on top of base salary) Guaranteed semi-monthly paycheck (24) Company-sponsored DashPass 18 days of paid time off 9 paid holidays (5 set days + 4 \"floating\" holidays) CEU assistance and professional development opportunities Medical +HSA, Dental, and Vision coverage through Cigna Up to $9,000 in post-maternity childcare assistance 401(k) plan with company match. Employee Assistance Program Short Term Disability, Term-Life/AD&D Insurance, Critical Illness with Cancer Insurance, Accident Insurance, Hospital Confinement Insurance, and Pet Insurance Tuition Assistance eligibility at 6-month benchmark Pay Range $80,000—$100,000 USD Note: This position is NOT eligible for Visa sponsorship. Ally Behavior is an equal opportunity employer. In compliance with Federal and State Equal Opportunity Laws, qualified applicants are considered for all positions applied for without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, veteran status or any other legally protected status. Your personal information will be used for recruitment purposes only and handled in accordance with applicable privacy laws.", "summaryDescription" : "Speech-Language Pathologist at Ally Behavior Centers. Skills: Speech Therapy, ABA therapy, client caseload management, parent training, collaboration. Carry a client caseload of up to 23 clients, complete parent training, meet billable hour expectations, collaborate with OTs and BCBAs, attend team meetings, maintain client confidentiality, and communicate with families and clinical teams.", "postedDate" : "2026-06-14T19:22:46.520", "createdAt" : "2026-06-14T19:22:46.520", "lastUpdated" : "2026-06-15T08:40:20.570", "ingestTimestamp" : "2026-06-14T19:22:46.520", "mongoId" : "6a2c953374d8ee00a098c912", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Speech Therapy", "parent training", "client caseload management", "diaper changing", "toileting assistance", "energetic, motivated, enthusiasm, patience, calm demeanor", "Speech Therapy, ABA therapy, client caseload management, parent training, collaboration", "Applied Behavior Analysis (ABA) therapy, early intervention for children with autism, HIPAA protocol.", "ASHA certification", "BLS", "Speech Therapy licensure", "HIPAA" ], "skillCount" : 12, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 567.02484, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c948d74d8ee00a098ad6b", "title" : "World Language Teacher", "company" : "ACCEL Schools", "industry" : "Education", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Mid-level World Language Teacher in Columbus, United States, with adjustments for the Education industry and company size." }, "location" : "South Columbus Preparatory Academy - German Village", "locations" : [ "South Columbus Preparatory Academy - German Village" ], "certifications" : [ "State of Ohio teaching license" ], "timestamp" : "2026-06-15T06:50:38.287", "fingerprint" : "a7ef9c36dd2966b18757428dfe2a2b602b633fbc45666d173278cf932ecf3852", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/accelschools/jobs/7770694003", "externalId" : "7770694003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "minimumEducation" : "Bachelor's", "domainKnowledge" : "College prep program; Character education", "domainList" : [ "college-prep-program", "character-education" ], "domainSpecificKnowledge" : [ "College prep program", "Character education" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Accurate records", "specialRequirements" : "Federal criminal background checks, State criminal background checks", "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Team ACCEL Schools is hiring a highly qualified World Language Teacher at South Columbus Preparatory Academy at German Village in Columbus, Ohio dedicated to providing a superior education for all students. We are seeking teachers who are passionate and dedicated to bringing the curriculum to life for each student. We want our teachers to be excited to create a positive classroom environment that prioritizes student learning and social-emotional development. Be part of the difference at South Columbus Preparatory Academy at German Village! Founded in 2017, South Columbus Preparatory Academy at German Village is the top performing school in the neighborhood, serving students from EK-8th grade. The public charter school is located on a renovated, historic campus and provides a well-rounded, college prep program emphasizing hands-on learning and character education. South Columbus Preparatory Academy is part of ACCEL Schools, an established network of public charter schools serving K-12 students throughout the United States since 2014. About the Opportunity: Responsibilities of the Teacher include to- Prepare and deliver lesson plans with the ability to modify accordingly during the school year Differentiate instruction to meet the needs of all students Maintain accurate and complete records of students’ progress and development Utilize research-based best practices in daily planning and classroom instruction Manage student behavior in the classroom Create a positive classroom environment for students to learn in Utilize school approved curricula that reflects the diverse educational, cultural, and linguistic backgrounds of the students Implement school-wide culture expectations and norms Communicate and meet with families regarding the academic and social-emotional growth of their child Incorporate technology skills into daily classroom practice to support learning Participate in the planning and implementation of non-instructional activities, as needed Collaborate and communicate effectively with colleagues Perform other duties as assigned About You: Active and current state of Ohio teaching license in appropriate content area Bachelor’s degree in education or related field High level of comfort working in a growth-focused coaching environment based on frequent observations, debriefs, action planning, and progress monitoring Excellent written and verbal communication skills Ability to properly manage confidential information Able to supervise students of various ages in different school settings (playground, cafeteria, etc.) Ability to pass federal and state criminal background checks Experience working within an urban environment About Us “We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances.” – Ron Packard, CEO & Founder ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick and mortar, and virtual schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities. We offer the following benefits: Compensation The salary range for this position is $40,000 - 49,500. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. Life benefits – time & peace of mind Paid time off Retirement contributions Optional Basic Life and AD&D insurance Voluntary life insurance (employee, spouse, child) Discounted childcare at Early Learning Academies locations Health benefits – stay well & thrive Medical, dental, and vision insurance Employee Assistance Program Voluntary short-term disability insurance Voluntary long-term disability insurance Career benefits – keep growing Career advancement opportunities throughout Accel Schools and our strong network of 4,000+ instructors and education professionals EQUAL EMPLOYMENT OPPORTUNITY It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.", "summaryDescription" : "World Language Teacher at ACCEL Schools", "postedDate" : "2026-06-14T08:47:25.230", "createdAt" : "2026-06-14T08:47:25.230", "lastUpdated" : "2026-06-15T06:50:38.287", "ingestTimestamp" : "2026-06-14T08:47:25.230", "mongoId" : "6a2c948d74d8ee00a098ad6b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "College prep program", "Character education", "State of Ohio teaching license" ], "skillCount" : 3, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 563.83307, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306bc7f292fd229cfd1c00", "title" : "Senior Machine Learning Engineer (ACE)", "company" : "Grab", "industry" : "Information Technology And Services", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Machine Learning Engineer in Petaling Jaya, Malaysia, adjusted for Grab's industry and company size." }, "location" : "Petaling Jaya, MY", "locations" : [ "Petaling Jaya", "MY" ], "timestamp" : "2026-06-16T08:28:49.596", "fingerprint" : "ee92e8329c7e9493fd3e9af99924354e46702cad0e568416f1cf67b04143e308", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Grab/744000132200853-senior-machine-learning-engineer-ace-", "externalId" : "744000132200853", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Petaling Jaya", "state" : "Selangor", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.0988792,101.6454202" } ], "locationText" : "Petaling Jaya, Selangor, Malaysia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Scala, TensorFlow, PyTorch, Large Language Models", "professionalSkills" : [ "System design", "Math/code solutions" ], "hardSkillsList" : [ "Machine Learning", "Statistics", "Optimization algorithms", "Data mining", "Generative AI" ], "softSkillsList" : [ "Articulating technical insights" ], "hardSkills" : [ { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Optimization algorithms", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Articulating technical insights" } ], "majorSkills" : "Machine Learning Engineering, Generative AI, Spatial demand shaping", "majorSkillsList" : [ "Machine Learning Engineering", "Generative AI", "Spatial demand shaping" ], "coreResponsibilities" : "Architect solutions that steer demand, Design spatial and temporal nudges, Shift users from on-demand to scheduled delivery, Redirect orders from supply-constrained to under-utilized merchants, Build systems that power new in-app discoveries, Serve external AI demands, Identify \"hidden\" customer patterns, Develop models to identify order risks, Develop models to identify cancellation probabilities, Automate \"who is at fault\" logic, Facilitate proactive interventions, Lead the integration of Generative AI, Analyze massive datasets, Decode food ordering patterns, Optimize the end-to-end journey, Own the end-to-end lifecycle of ML models, Translate tens of millions of eaters interactions into, Scale solutions", "teamCollaboration" : "Cross-functional collaboration; Partner with product managers; Partner with engineers; Partner with analytics; Partner with design; Partner with operations teams", "domainKnowledge" : "Geospatial demand; Proactive reliability; AI-driven discovery; Food ecosystem; Multi-party dispute arbitration; Spatial demand shaping", "domainList" : [ "geospatial-demand", "proactive-reliability", "ai-driven-discovery", "food-ecosystem", "multi-party-dispute-arbitration", "spatial-demand-shaping" ], "domainSpecificKnowledge" : [ "Geospatial demand", "Proactive reliability", "AI-driven discovery", "Food ecosystem", "Multi-party dispute arbitration", "Spatial demand shaping" ], "communicationSkills" : "Articulate technical insights", "innovationCreativity" : "IP creation", "problemSolvingSkills" : "Translate complex business problems into scalable math/code solutions", "qualificationsBasic" : "Bachelor's Degree with 4+ years of relevant experience, Proficiency in Python or Scala, Deep understanding of ML/DL foundations, Deep understanding of optimization algorithms, Deep understanding of data mining, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to Know the Team In the ACE (Online Deliveries, Omni-commerce) Data Science team, you are at the core of Grab's largest business pillars. We build and deploy AI/ML models to power seamless user experiences across the food ecosystem — from instant deliveries to restaurant reservations. Our mission is to enhance user satisfaction and platform efficiency by solving unique challenges in geospatial demand, proactive reliability, and transformative AI-driven discovery. You will report to our Senior Data Science Manager and based onsite in our office in Petaling Jaya, Selangor. Get to Know the Role As a Senior Machine Learning Engineer, you will lead the development of intelligent systems that shape how millions of users interact with Grab. You will move beyond basic forecasting to build proactive, \"self-healing\" reliability systems and leverage Generative AI to redefine the user experience. The Critical Tasks You Will Perform You will be working on machine learning engineering projects on one or a few areas below: * Strategic Demand Shaping: Architect solutions that steer demand toward higher serviceability. You will design spatial and temporal nudges — such as shifting users from on-demand to scheduled delivery models or redirecting orders from supply-constrained to under-utilized merchants — to maximize network throughput and balance platform capacity in real time. * Grab Content Enrichment: Transform \"thin\" or unstructured data into rich, machine-readable metadata. You will build systems that power new in-app discoveries and serve external AI demands (e.g., ChatGPT or Google's AI search). * Demand Generation & Growth: Identify \"hidden\" customer patterns across food and dining to unlock new demand for ACE. * Reliability & Dispute Arbitration: Predict friction before it happens. You will develop models to identify order risks and cancellation probabilities, automating \"who is at fault\" logic and facilitating proactive interventions to maintain platform trust. * Transformative GAI Experience: Lead the integration of Generative AI (GAI) to fundamentally evolve the current user journey and interface. Your key responsibilities are: * Extract Insights: Analyze massive datasets (transactional, behavioral, and geospatial) to decode food ordering patterns and optimize the end-to-end journey for food ordering journey. * Build, Iterate, and Deploy: Own the end-to-end lifecycle of ML models, translating tens of millions of eaters interactions into production-grade solutions through rigorous A/B testing and monitoring. * Cross-Function Collaboration: Partner with product managers, engineers, analytics, design and operations teams to scale solutions. * Innovation: Contribute to team's innovation and IP creation ## Qualifications What Essential Skills You Will Need * Education: Bachelor's Degree with 4+ years of relevant experience in Machine Learning, Statistics, Computer Science, Economics, or Operations Research. * Technical Depth: Deep understanding of ML/DL foundations, optimization algorithms, and data mining. Proficiency in frameworks like TensorFlow or PyTorch. Proven experience in the application of Large Language Models * Programming: Strong proficiency in Python or Scala. * Problem Solving: Translate complex business problems (like multi-party dispute arbitration or spatial demand shaping) into scalable math/code solutions. * Soft Skills: Motivated to learn and is able communicate by articulating technical insights to non-technical stakeholders. ## Additional Information Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: * We have your back with Term Life Insurance and comprehensive Medical Insurance. * With GrabFlex, create a benefits package that suits your needs and aspirations. * Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave * We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges. * Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For At Grab We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.", "summaryDescription" : "Senior Machine Learning Engineer (ACE) at Grab. Skills: Machine Learning Engineering, Generative AI, Spatial demand shaping. Architect solutions that steer demand. Design spatial and temporal nudges", "postedDate" : "2026-06-15T13:22:09.000", "createdAt" : "2026-06-15T23:54:42.625", "lastUpdated" : "2026-06-16T08:28:49.596", "ingestTimestamp" : "2026-06-15T23:54:42.625", "mongoId" : "6a306bc7f292fd229cfd1c00", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Machine Learning", "Statistics", "Optimization algorithms", "Data mining", "Generative AI", "Articulating technical insights", "Machine Learning Engineering", "Spatial demand shaping", "System design", "Math/code solutions", "Geospatial demand", "Proactive reliability", "AI-driven discovery", "Food ecosystem", "Multi-party dispute arbitration" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 563.5846, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26132beec4dd3d90b551", "title" : "Speech Language Pathologist", "industry" : "Healthcare", "salary" : { "min" : 62500.0, "max" : 81500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Junior Speech Language Pathologist in Crystal River, United States, with adjustments for the healthcare industry and full-time employment." }, "location" : "United States-Florida-Crystal River", "locations" : [ "United States-Florida-Crystal River", "
TGH Crystal River (TGHCR)
6201 N Suncoast Boulevard

Crystal River, 34428

" ], "certifications" : [ "Speech-Language Pathologist Certification", "Basic Life Support (BLS)", "Certificate of Clinical Competency (CCC) Speech Pathology" ], "timestamp" : "2026-06-16T06:04:50.569", "fingerprint" : "bff7883887dd0f8233e4cdb357490029708889be1224d21fba6e98082680fd54", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675283", "externalId" : "675283", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Crystal River", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.9024790,-82.5926012" } ], "locationText" : "Crystal River, Florida, United States", "minimumEducation" : "Master's Degree", "experienceMinYears" : 1, "professionalSkills" : [ "Speech therapy", "Patient assessment", "Treatment planning", "Therapy administration", "Progress re-assessment", "Equipment operation", "Documentation", "Schedule coordination", "Incident reporting", "Care plan collaboration" ], "hardSkillsList" : [ "Speech evaluation", "Language evaluation", "Voice evaluation", "Swallowing evaluation", "Therapy techniques" ], "hardSkills" : [ { "name" : "Speech evaluation", "level" : "intermediate" }, { "name" : "Language evaluation", "level" : "intermediate" }, { "name" : "Voice evaluation", "level" : "intermediate" }, { "name" : "Swallowing evaluation", "level" : "intermediate" }, { "name" : "Therapy techniques", "level" : "intermediate" } ], "majorSkills" : "Speech therapy, Patient assessment, Treatment planning, Documentation", "majorSkillsList" : [ "Speech therapy", "Patient assessment", "Treatment planning", "Documentation" ], "coreResponsibilities" : "Perform detailed assessments, Create tailored therapy plans, Administer therapies, exercises, and techniques, Re-assess patients' progress, Ensure safe equipment operation, Maintain precise documentation, Coordinate patient schedules, Document incidents, accidents, or concerns, Meet with healthcare professionals, Discuss patient progress, Share treatment goal information, Collaborate on care plans", "teamCollaboration" : "Collaborate with physicians; Collaborate with nurses; Collaborate with other healthcare professionals", "domainKnowledge" : "Speech therapy; Rehabilitation; Healthcare regulations", "domainList" : [ "speech-therapy", "rehabilitation", "healthcare-regulations" ], "domainSpecificKnowledge" : [ "Speech therapy", "Rehabilitation", "Healthcare regulations" ], "documentationSkills" : "Therapy documentation; Incident reporting", "qualificationsBasic" : "Master's Degree Speech and Language Pathology, Florida or Compact State Speech-Language Pathologist License, Basic Life Support (BLS), One (1) year experience in a clinical setting, Certificate of Clinical Competency (CCC) Speech Pathology", "qualificationsPreferred" : "Eligibility for CCC pending professional experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Speech Language Pathologist is responsible for the implementation of standards of care for Speech Therapy services and to evaluate, assess and treat patients’ speech, voice and language function for the purpose of rehabilitation. Essential Functions Perform detailed assessments to evaluate speech, language, communication, and swallowing disorders, gathering relevant patient information and history to inform treatment planning. Create tailored therapy plans based on the assessment results, clearly defining short- and long-term goals, and applying evidence-based strategies to promote patient progress. Appropriately administer therapies, exercises, and techniques that address the patient’s specific needs, ensuring the treatment process is safe, effective, and in line with the established plan of care. Regularly re-assess patients' progress and adjust treatment strategies or goals as necessary, ensuring continuous improvement and response to therapy. Ensure safe and competent operation of all equipment necessary for treatment, including any specialized tools, devices, or technologies used in speech therapy sessions. Show proficiency in the basic operation of all speech therapy equipment and follow facility protocols to ensure equipment is used correctly and safely. Maintain precise and complete documentation of all therapy sessions, including services rendered, progress made, and any adjustments to the treatment plan, to ensure proper billing and compliance with healthcare regulations. Coordinate patient schedules for therapy sessions, ensuring timely and efficient treatment delivery while managing any cancellations, rescheduling, or follow-up needs. Verbalize and accurately document any incidents, accidents, or concerns that arise during therapy sessions, following proper procedures to file incident reports and notify appropriate parties. Regularly meet with physicians, nurses, and other healthcare professionals to discuss patient progress, share information about treatment goals, and collaborate on care plans to ensure the holistic treatment of the patient. Education Master's Degree Speech and Language Pathology License/Registration - Issued by Florida or Compact State Speech-Language Pathologist Certification Basic Life Support (BLS) from American Red Cross (ARC) or American Heart Association (AHA) Work Experience and Additional Information One (1) year experience in a clinical setting. Certificate of Clinical Competency (CCC) Speech Pathology from the American Speech-Language and Hearing Association or eligibility for certification pending professional experience or equivalent within one year. Crystal River", "summaryDescription" : "Speech Language Pathologist. Skills: Speech therapy, Patient assessment, Treatment planning, Documentation. Perform detailed assessments. Create tailored therapy plans", "createdAt" : "2026-06-14T20:42:07.246", "lastUpdated" : "2026-06-16T06:04:50.569", "ingestTimestamp" : "2026-06-14T20:42:07.246", "mongoId" : "69cf26132beec4dd3d90b551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62500, "salaryAnnualMax" : 81500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Speech evaluation", "Language evaluation", "Voice evaluation", "Swallowing evaluation", "Therapy techniques", "Speech therapy", "Patient assessment", "Treatment planning", "Documentation", "Therapy administration", "Progress re-assessment", "Equipment operation", "Schedule coordination", "Incident reporting", "Care plan collaboration", "Rehabilitation", "Healthcare regulations", "Speech-Language Pathologist Certification", "Basic Life Support (BLS)", "Certificate of Clinical Competency (CCC) Speech Pathology" ], "skillCount" : 20, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Junior", "dataQualityScore" : 0.5555556, "_score" : 555.3106, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176b974d8ee00a0c1aade", "title" : "Work Preparator", "company" : "D. Cloostermans-Huwaert NV", "industry" : "Systems, Quality, Security Engineering, Support Engineering, amazon business", "salary" : { "min" : 33000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Work Preparator in Hamme, Belgium, adjusted for the manufacturing industry and part-time employment." }, "location" : "Hamme, Flanders, BEL", "locations" : [ "Hamme, Flanders, BEL" ], "timestamp" : "2026-06-14T22:25:21.945", "fingerprint" : "ec0cfc33a6b0f1e1779cb644ac3948cc4e47c1bf2a364e2a5317f2a3c8bbb2fb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439719/apply", "externalId" : "842f00dd-0528-41f4-b7b5-ead2ddf95f0e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamme", "state" : "Flanders", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.0977642,4.1377229" } ], "locationText" : "Hamme, Flanders, Belgium", "employmentType" : "PART_TIME", "technicalSkills" : "CNC Turning, CNC Milling, Welding, Sheet metal, SAP", "professionalSkills" : [ "Production Planning", "Inventory management", "Capacity planning", "Scheduling principles" ], "hardSkillsList" : [ "Machining techniques", "Technical drawings", "Production routings" ], "hardSkills" : [ { "name" : "Machining techniques", "level" : "intermediate" }, { "name" : "Technical drawings", "level" : "intermediate" }, { "name" : "Production routings", "level" : "intermediate" } ], "majorSkills" : "Production planning, Machining processes, Technical drawings", "majorSkillsList" : [ "Production planning", "Machining processes", "Technical drawings" ], "coreResponsibilities" : "Plan internal production, Monitor internal production, Create production routings, Coordinate with external suppliers, Track delivery dates, Align with project timelines, Order raw materials, Manage inventory levels, Assess manufacturability of parts, Identify potential issues, Define solutions, Translate technical drawings, Represent production department, Monitor project planning, Provide production input, Prepare projects for production, Escalate potential bottlenecks, Escalate delivery risks, Perform pre-calculations, Support accurate project planning, Perform post-calculations, Analyze performance, Identify improvement opportunities", "teamCollaboration" : "Cross-functional project teams; Project team", "projectManagementSkills" : [ "Project planning" ], "domainKnowledge" : "Machining production processes; Welding techniques; Production capacity planning", "domainList" : [ "machining-production-processes", "welding-techniques", "production-capacity-planning" ], "domainSpecificKnowledge" : [ "Machining production processes", "Welding techniques", "Production capacity planning" ], "toolProficiency" : [ "Microsoft Office", "ERP systems" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Technical drawings", "innovationCreativity" : "Invention; Problem-solving", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Knowledge of mechanical production processes, Knowledge of ERP systems, Experience in Microsoft Office, Communication skills in English", "qualificationsPreferred" : "SAP experience is a plus, Ability to work independently, Proactive approach to problem solving, Communication skills in Dutch", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At our lab in Hamme, Belgium, we are looking for a Work Preparator to join our Production Department. Depending on industry background and regional terminology, this role may also be recognized as a Manufacturing Process Engineer, Manufacturing Engineer, Production Engineer, Process Planning Engineer, or Production Readiness Engineer. The Mechatronics team builds full-stack innovation that ensures fulfillment and delivery network safety, speed, optimization, sustainability and value. We tackle big goals for the Amazon business and work hard to make automation history through invention, problem-solving, and highly-engaged teams. We are a global organization, with research and development labs based in Hamme, Belgium, Boston, MA (US) and Milan, Italy. Our development portfolio is focused on automation solutions in packaging, labeling, sortation and material conveyance that provide broad extensibility across Amazon businesses. At our lab in Hamme, Belgium we are looking for a Work preparator position within our production departement. As a Work Preparator, you are the crucial link between the production department and cross-functional project teams. You are responsible for preparing, planning, and monitoring both internal production processes and external deliveries. You ensure seamless execution of production activities within a machining environment where processes such as turning, milling, welding, and sheet metal are applied to manufacture parts. Key job responsibilities Production Planning & Coordination • Plan and monitor internal production planning for machining processes (turning, milling, welding, sheet metal) • Create detailed production routings that provide the shop floor with correct production steps and specifications • Coordinate with external suppliers to track delivery dates and align with project timelines • Order raw materials for internal production and manage inventory levels Technical Feasibility & Engineering Collaboration • Work closely with engineers from the start of projects to assess the manufacturability of parts • Identify potential issues and define solutions to ensure smooth production • Translate technical drawings into feasible production processes based on thorough knowledge of machining techniques Project Collaboration & Communication • Represent the production department in multiple concurrent projects • Monitor project planning and provide production input to keep the schedule clear for all departments • Work closely with the project team to thoroughly prepare projects before they go into production • Proactively escalate potential bottlenecks or delivery risks Analysis & Calculations • Perform pre-calculations of production times to support accurate project planning • Perform post-calculations to analyze actual versus planned performance • Identify improvement opportunities based on production data Technical Knowledge (Essential) • Thorough knowledge of machining production processes: o CNC Turning o CNC Milling o Welding (various welding techniques) o Sheet metal • Ability to read and interpret technical drawings • Knowledge of ERP systems (SAP experience is a strong plus) • Understanding of production capacity planning and scheduling principles Internal job description Basic Qualifications: - Knowledge of mechanical production processes (e.g., milling, turning, welding…) - Knowledge of ERP systems, SAP is a plus - Experience in Microsoft Office - Communication skills in English, both verbal and written Preferred Qualifications: - Ability to work independently - Proactive approach to problem solving - Communication skills in Dutch, both verbal and written Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Work Preparator at D. Cloostermans-Huwaert NV. Skills: Production planning, Machining processes, Technical drawings. Plan internal production. Monitor internal production", "postedDate" : "2026-06-13T02:38:19.742", "createdAt" : "2026-06-13T02:38:19.742", "lastUpdated" : "2026-06-14T22:25:21.945", "ingestTimestamp" : "2026-06-13T02:38:19.742", "mongoId" : "6a2176b974d8ee00a0c1aade", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439719/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Machining techniques", "Technical drawings", "Production routings", "Production planning", "Machining processes", "Production Planning", "Inventory management", "Capacity planning", "Scheduling principles", "Project planning", "Machining production processes", "Welding techniques", "Production capacity planning", "Microsoft Office", "ERP systems" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 553.1309, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e41bf8b1b0376634c3f9", "title" : "Machine Learning Engineer, Generative AI Innovation Center", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:08:18.510", "fingerprint" : "cc68037aead9f90bfaffbedd4894f7539c7a2598ebab4380e77c6de506c5e8ea", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078119/apply", "externalId" : "03bff41d-1708-427b-a077-8f7f94634a19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Large Language Models, FSDP, DeepSpeed, Reinforcement Learning, Human Feedback, AWS Inferentia, AWS Trainium, AWS Neuron SDK", "professionalSkills" : [ "System design", "Reliability", "Scalability" ], "hardSkillsList" : [ "Distributed training", "Model optimization", "Kernel development" ], "hardSkills" : [ { "name" : "Distributed training", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Kernel development", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Machine Learning, AWS", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Machine Learning", "AWS" ], "coreResponsibilities" : "Design distributed training pipelines, Implement distributed training pipelines, Adapt LLMs for new languages, Adapt LLMs for new domains, Adapt LLMs for vision applications, Optimize AI models for AWS Silicon, Develop custom kernels, Interact with enterprise customers, Interact with foundational model providers, Co-develop tailored generative AI solutions", "teamCollaboration" : "Multidisciplinary team; Customer collaboration; Foundational model providers", "domainKnowledge" : "Generative AI; Large Language Models; AWS Silicon; AI accelerators", "domainList" : [ "generative-ai", "large-language-models", "aws-silicon", "ai-accelerators" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "AWS Silicon", "AI accelerators" ], "toolProficiency" : [ "AWS Neuron SDK" ], "innovationCreativity" : "Innovate at forefront of AI; Develop custom LLMs", "problemSolvingSkills" : "Troubleshoot AI models", "outcomesObjectives" : "Deploy customized generative AI applications; Optimize AI models for performance; Enhance performance and efficiency; Deliver next-generation AI solutions", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming at least one language, Hands-on deep learning/machine learning, Hands-on generative AI technology", "qualificationsPreferred" : "2+ years full software development life cycle, Bachelor's degree in computer science, 1+ years ML model development/deployment/optimization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients. Key job responsibilities • Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency • LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) • Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance • Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) - Hands-on experience with generative AI technology Preferred Qualifications: - 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Machine Learning Engineer, Generative AI Innovation Center at Amazon Web Services, Inc.. Skills: Generative AI, Large Language Models, Machine Learning, AWS. Design distributed training pipelines. Implement distributed training pipelines", "postedDate" : "2026-06-13T08:47:24.147", "createdAt" : "2026-06-13T08:47:24.147", "lastUpdated" : "2026-06-15T04:08:18.510", "ingestTimestamp" : "2026-06-13T08:47:24.147", "mongoId" : "68c2e41bf8b1b0376634c3f9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078119/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Distributed training", "Model optimization", "Kernel development", "Generative AI", "Large Language Models", "Machine Learning", "AWS", "System design", "Reliability", "Scalability", "AWS Silicon", "AI accelerators", "AWS Neuron SDK" ], "skillCount" : 13, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 551.929, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a839474d8ee00a06768eb", "title" : "Machine Learning Engineer", "company" : "PitchBook Data", "industry" : "Financial Services", "salary" : { "min" : 125000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, United States", "locations" : [ "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-14T14:27:18.866", "fingerprint" : "924eb5cffbe5d47585e3d38905188d7b1dc32fff87cbf163e4a34042b191ae7b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pitchbookdata/jobs/4687505006", "externalId" : "4687505006", "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", "technicalSkills" : "Python, SQL, Java, Scala, Natural Language Processing, Machine Learning, Generative AI, Large Language Models, Classifiers, 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"intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data enrichment", "level" : "intermediate" }, { "name" : "Predictive intelligence", "level" : "intermediate" }, { "name" : "Generative intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Customer empathy" }, { "name" : "Integrity" }, { "name" : "Growth mindset" } ], "majorSkills" : "Machine Learning, Natural Language Processing, Generative AI, Large Language Models", "majorSkillsList" : [ "Machine Learning", "Natural Language Processing", "Generative AI", "Large Language Models" ], "coreResponsibilities" : "Deliver AI and ML capabilities, Drive insight generation, Design AI/ML models, Build AI/ML models, Deploy AI/ML models, Develop scalable systems, Develop high-performance systems, Meet production-grade standards, Share knowledge, Pair with teammates, Participate in code reviews, Participate in design reviews, Provide guidance to junior engineers, Contribute to team best practices, Build models with classifiers, Build models with transformers, Build models with LLMs, Build models with NLP techniques, Generate meaningful insights, Integrate models into infrastructure, Collaborate with partner teams, Collaborate with engineering teams, Collaborate with product management, Collaborate with data collection teams, Ensure models informed by data, Support strategic product goals, Explore emerging technologies, Experiment with methodologies, Experiment with tools, Translate research findings, Enhance AI capabilities, Contribute to model transparency, Contribute to model monitoring, Contribute to model evaluation, Contribute to compliance, Maintain security standards, Maintain data integrity, Maintain responsible AI use, Participate in technical evaluation, Onboard new team members, Contribute to documentation, Apply Agile principles, Apply Lean principles, Apply Fast-Flow principles, Support efficient model development, Support efficient model deployment, Support company vision, Support company values, Role model desired behaviors, Encourage desired behaviors, Participate in company initiatives, Participate in projects", "teamCollaboration" : "Cross-functional teams; Partner teams; Globally distributed teams", "projectManagementSkills" : [ "Agile", "Lean", "Fast-Flow" ], "domainKnowledge" : "Financial data; Textual content analysis; Structured data; Unstructured data; AI/ML strategy; Responsible AI use", "domainList" : [ "financial-data", "textual-content-analysis", "structured-data", "unstructured-data", "ai-ml-strategy", "responsible-ai-use" ], "domainSpecificKnowledge" : [ "Financial data", "Textual content analysis", "Structured data", "Unstructured data", "AI/ML strategy", "Responsible AI use" ], "toolProficiency" : [ "scikit-learn", "pandas", "numpy", "TensorFlow", "PyTorch", "Docker", "Kubernetes" ], "communicationSkills" : "Technical communication", "documentationSkills" : "Documentation", "continuousLearning" : "Learning programs; Mentorship opportunities; Training programs; Tuition reimbursement; CFA exam stipend", "innovationCreativity" : "Innovate; Evolve; Invest in ourselves; Find new solutions; Better ways of doing things; Take risks; Fail fast; Pursuit of excellence; Big thinkers; Problem solvers; Product innovation; Experimentation", "problemSolvingSkills" : "Problem solvers; Tackle complex technical challenges; Find better ways of doing things", "specialRequirements" : "Limited corporate travel", "outcomesObjectives" : "Deepen positive impact; Create excellent customer experiences; Unlock unique value; Improve speed of insights; Improve discoverability of insights; Improve quality of insights; Improve quantity of insights", "qualificationsBasic" : "2+ years of experience in software engineering, 2+ years of experience in machine learning engineering, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, Bachelor's degree in Data Science, Bachelor's degree in related technical field, Demonstrated expertise in natural language processing, Demonstrated expertise in machine learning, Hands-on experience with classifiers, Hands-on experience with transformer models, Hands-on experience with large language models, Hands-on experience with ML libraries, Hands-on experience with data science libraries, Experience delivering production-grade GenAI, Experience with Python, Experience with SQL, Ability to solve complex technical problems, Ability to contribute to architectural decisions, Ability to deliver high-performance solutions, Ability to deliver reliable solutions, Experience working cross-functionally, Experience working in fast-paced environments, Experience working in data-driven environments, Authorized to work in the United States", "qualificationsPreferred" : "Advanced degrees preferred, Working knowledge of Java, Working knowledge of Scala, Kubernetes experience, Fintech experience, Financial data platforms experience, Experience authoring research papers, Participation in broader AI research community", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform. You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy. Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources and applying ML to enrich our datasets with predictive and generative intelligence. Primary Job Responsibilities: Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor’s degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production-grade GenAI or LLM-based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $125,000-$180,000 Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1 #LI-Onsite", "summaryDescription" : "Machine Learning Engineer at PitchBook Data. Skills: Machine Learning, Natural Language Processing, Generative AI, Large Language Models. Deliver AI and ML capabilities. Drive insight generation", "postedDate" : "2026-06-12T00:44:27.583", "createdAt" : "2026-06-12T00:44:27.583", "lastUpdated" : "2026-06-14T14:27:18.866", "ingestTimestamp" : "2026-06-12T00:44:27.583", "mongoId" : "6a2a839474d8ee00a06768eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Machine learning", "Natural language processing", "Model training", "Model deployment", "Model maintenance", "Scalable data systems", "Data modeling", "Data enrichment", "Predictive intelligence", "Generative intelligence", "Curiosity", "Customer empathy", "Integrity", "Growth mindset", "Machine Learning", "Natural Language Processing", "Generative AI", "Large Language Models", "Insight generation", "Summarization", "Semantic search", "Prediction", "AI strategy", "Agile", "Lean", "Fast-Flow", "Financial data", "Textual content analysis", "Structured data", "Unstructured data", "AI/ML strategy", "Responsible AI use", "scikit-learn", "pandas", "numpy", "TensorFlow", "PyTorch", "Docker", "Kubernetes" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "product-development", "dataQualityScore" : 0.7777778, "_score" : 549.6322, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "69c94a709bc74574cbbb3968", "title" : "Language Engineering Manager", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Language Engineer, Artificial Intelligence", "salary" : { "min" : 127100.0, "max" : 171900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T02:07:21.216", "fingerprint" : "de58d234e0501364face67baa168bfc3b158f6c3597df161d8f05a109971f255", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199721/apply", "externalId" : "6208b722-6cf4-4fbc-9cf4-7d07b14a5170", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceLevel" : "Manager", "technicalSkills" : "Python, NLP", "professionalSkills" : [ "Language technology", "Data production", "Data creation", "Data processing", "Process optimization" ], "hardSkillsList" : [ "Computational linguistics", "Language data processing", "Language annotation", "Data markup", "Speech data", "Text data", "Scripting language" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Computational linguistics", "level" : "intermediate" }, { "name" : "Language data processing", "level" : "intermediate" }, { "name" : "Language annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Speech data", "level" : "intermediate" }, { "name" : "Text data", "level" : "intermediate" }, { "name" : "Scripting language", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Language Engineering, Data Services, AI Data", "majorSkillsList" : [ "Language Engineering", "Data Services", "AI Data" ], "coreResponsibilities" : "Lead a cross-functional team, Provide technical guidance, Provide scientific guidance, Lead improvement efforts, Optimize data creation processes, Optimize data sourcing processes, Invent new data processes, Collaborate with science partners, Collaborate with engineering partners, Collaborate with business partners, Support career development", "teamCollaboration" : "Cross-functional team; Science teams; Tech teams; Engineering partners; Business partners", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Language technology; Data production for AI; Large Language Models; Artificial Intelligence; NLP field", "domainList" : [ "language-technology", "data-production-for-ai", "large-language-models", "artificial-intelligence", "nlp-field" ], "domainSpecificKnowledge" : [ "Language technology", "Data production for AI", "Large Language Models", "Artificial Intelligence", "NLP field" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Invent new processes", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Master’s or higher degree, 5+ years’ experience in computational linguistics, Experience with language annotation, Experience working with speech and text language data, Experience programming in Python, 2+ years’ experience managing technical linguistic teams", "qualificationsPreferred" : "Industry experience with language understanding systems, Industry experience with Large Language models, Industry experience with AI, Demonstrated leadership abilities, Excellent written communication skills, Excellent verbal communication skills, Project management experience, Demonstrated experience with large-scale data analytics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for a Language Engineering Manager to join our Artificial General Intelligence - Data Services organization. We are seeking a candidate with strong analytical skills and extensive language technology experience, especially in the area of data production for AI and Large Language Models. As a Language Engineer Manager, you will manage a cross-functional team of Language Engineers who support and lead efforts in complex, novel, and/or large-scale data creation or processing for the use in Artificial Intelligence (AI) models. You will take part in setting up team goals and will be responsible for your team delivering these goals. You will collaborate with other science and tech teams to introduce new tools or approaches, always on the lookout to improve our processes and velocity. Key job responsibilities • Lead a cross-functional team of Language Engineers • Provide technical and scientific guidance to your team members in their tasks related to data creation and processing • Lead improvement efforts to optimize existing data creation and sourcing processes or invent new ones • Effectively collaborate with science, engineering, and business partners on large-scale programs • Supporting the career development of your team members The successful candidate will have an established background in developing diverse, complex, and large-scale datasets for AI, a strong technical ability, demonstrated experience in people management, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment. Basic Qualifications: - Master’s or higher degree in a relevant field (e.g. linguistics, computational linguistics) - 5+ years’ experience in computational linguistics and language data processing - Experience with language annotation and other forms of data markup, especially complex data for AI Models - Experience working with speech and text language data in multiple languages - Experience programming in Python or another scripting language - 2+ years’ experience managing technical linguistic teams in the NLP field Preferred Qualifications: - Explicit industry experience with language understanding systems or Large Language models or AI - Demonstrated leadership abilities, especially with cross-disciplinary efforts - Excellent written and verbal communication skills - Project management experience - Demonstrated experience with large-scale data analytics Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Sunnyvale - 146,100.00 - 197,700.00 USD annually USA, MA, Boston - 127,100.00 - 171,900.00 USD annually USA, WA, BELLEVUE - 127,100.00 - 171,900.00 USD annually", "summaryDescription" : "Language Engineering Manager at Amazon.com Services LLC. Skills: Language Engineering, Data Services, AI Data. Lead a cross-functional team. Provide technical guidance", "postedDate" : "2026-06-13T16:16:58.429", "createdAt" : "2026-06-13T16:16:58.429", "lastUpdated" : "2026-06-15T02:07:21.216", "ingestTimestamp" : "2026-06-13T16:16:58.429", "mongoId" : "69c94a709bc74574cbbb3968", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199721/apply", "salaryAnnualMin" : 127100, "salaryAnnualMax" : 171900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Computational linguistics", "Language data processing", "Language annotation", "Data markup", "Speech data", "Text data", "Scripting language", "Leadership", "Language Engineering", "Data Services", "AI Data", "Language technology", "Data production", "Data creation", "Data processing", "Process optimization", "Project management", "Data production for AI", "Large Language Models", "Artificial Intelligence", "NLP field" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 547.476, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "AI" }, { "id" : "6a2a839574d8ee00a06768fb", "title" : "Sr. Machine Learning Engineer", "company" : "PitchBook Data", "industry" : "Financial Services", "salary" : { "min" : 170000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, United States", "locations" : [ "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-14T22:18:34.785", "fingerprint" : "6cb602508d659652314ebb6a5ff233a4a467e59669b66b53bb7e2d6b4bc10b24", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pitchbookdata/jobs/4687513006", "externalId" : "4687513006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Java, Scala, Docker, Kubernetes, Machine Learning, Natural Language Processing, Generative AI, Large Language Models, Data Analytics, Data Systems, Classifiers, Transformers, Semantic Search, Summarization, Prediction", "professionalSkills" : [ "Insight generation", "Data analysis", "Model development", "Model optimization", "Model deployment", "Model operationalization", "Model architecture", "Model training", "Model maintenance", "Scalable systems", "Production systems", "Architectural decisions", "Business goals alignment", "AI/ML strategy", "Data enrichment", "Predictive intelligence", "Generative intelligence", "Performance standards", "Reliability standards", "Security standards", "Technical excellence", "Continuous improvement", "Engineering practices", "Model integration", "Data quality", "Product goals", "Emerging technologies", "Methodologies", "Tools", "Research findings translation", "Model transparency", "Model monitoring", "Model evaluation", "Responsible AI use", "Data integrity", "Candidate evaluation", "Knowledge sharing", "Agile principles", "Lean principles", "Fast-Flow methodologies", "Model development cycles", "Model deployment cycles", "Company vision", "Company values", "Role modeling", "Encouraging behaviors", "Company initiatives", "Company projects" ], "hardSkillsList" : [ "Advanced data analytics", "Machine learning", "Natural language processing", "Generative AI", "Large language models", "Scalable data systems", "Model architecture", "Model training", "Model deployment", "Model maintenance", "Classifiers", "Transformers", "NLP techniques", "Data collection", "Research findings", "Model transparency", "Model monitoring", "Model evaluation", "Responsible AI use", "Data integrity", "Agile methodologies", "Lean methodologies", "Fast-Flow methodologies" ], "softSkillsList" : [ "Curiosity", "Customer empathy", "Integrity", "Growth mindset" ], "hardSkills" : [ { "name" : "Advanced data analytics", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Large language models", "level" : "intermediate" }, { "name" : "Scalable data systems", "level" : "intermediate" }, { "name" : "Model architecture", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model maintenance", "level" : "intermediate" }, { "name" : "Classifiers", "level" : "intermediate" }, { "name" : "Transformers", "level" : "intermediate" }, { "name" : "NLP techniques", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Research findings", "level" : "intermediate" }, { "name" : "Model transparency", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Responsible AI use", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Agile methodologies", "level" : "intermediate" }, { "name" : "Lean methodologies", "level" : "intermediate" }, { "name" : "Fast-Flow methodologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Customer empathy" }, { "name" : "Integrity" }, { "name" : "Growth mindset" } ], "majorSkills" : "Machine Learning, Natural Language Processing, Generative AI, Large Language Models", "majorSkillsList" : [ "Machine Learning", "Natural Language Processing", "Generative AI", "Large Language Models" ], "coreResponsibilities" : "Deliver AI and ML capabilities, Drive insight generation, Contribute to business goals, Align with strategic priorities, Provide expertise in designing ML models, Provide expertise in building ML models, Provide expertise in deploying ML models, Focus on NLP, Focus on summarization, Focus on semantic search, Focus on classification, Focus on prediction, Contribute to scalable systems, Contribute to high-performance systems, Meet production-grade standards, Support technical excellence, Mentor peers, Share knowledge, Participate in code reviews, Participate in design reviews, Promote innovation, Promote continuous improvement, Build models using classifiers, Build models using transformers, Build models using LLMs, Build models using NLP techniques, Generate meaningful insights, Integrate models into AI/ML infrastructure, Collaborate with partner teams, Collaborate with engineering teams, Collaborate with product management teams, Collaborate with data collection teams, Ensure models informed by data, Support strategic product goals, Explore emerging technologies, Experiment with methodologies, Experiment with tools, Translate research findings, Enhance AI capabilities, Contribute to best practices, Maintain model transparency, Maintain model monitoring, Maintain model evaluation, Maintain compliance, Help maintain security standards, Help maintain data integrity, Help maintain responsible AI use, Participate in technical evaluation, Help onboard new team members, Contribute to documentation, Contribute to pairing, Contribute to knowledge-sharing, Apply Agile principles, Apply Lean principles, Apply Fast-Flow methodologies, Support efficient model development, Support efficient model deployment, Support company vision, Support company values, Participate in company initiatives, Participate in company projects", "teamCollaboration" : "Cross-functional teams; Partner teams; Engineering teams; Product management teams; Data collection teams; Globally distributed teams", "projectManagementSkills" : [ "Agile", "Lean", "Fast-Flow" ], "domainKnowledge" : "Insight generation; Financial data platforms; AI/ML strategy; Responsible AI use", "domainList" : [ "insight-generation", "financial-data-platforms", "ai-ml-strategy", "responsible-ai-use" ], "domainSpecificKnowledge" : [ "Insight generation", "Financial data platforms", "AI/ML strategy", "Responsible AI use" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "communicationSkills" : "Cross-functional collaboration", "continuousLearning" : "Training programs; Learning programs; Mentorship opportunities; Educational stipend; Tuition reimbursement", "innovationCreativity" : "Innovate; Evolve; Find new solutions; Better ways of doing things; Take risks; Fail fast; Pursuit of excellence; Innovators; Problem solvers; Product innovation; Emerging technologies", "problemSolvingSkills" : "Problem solvers; Tackle complex technical challenges; Solve complex technical problems", "specialRequirements" : "Authorized to work in United States", "outcomesObjectives" : "Deepen positive impact; Create excellent customer experiences; Unlock unique value; Improve speed of insights; Improve discoverability of insights; Improve quality of insights; Improve quantity of insights", "qualificationsBasic" : "6+ years software engineering, 6+ years machine learning engineering, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, Bachelor's degree in Data Science, Bachelor's degree in related technical field, Hands-on experience with classifiers, Hands-on experience with transformer models, Hands-on experience with large language models, Hands-on experience with NLP, Hands-on experience with ML, Hands-on experience with insight generation, Hands-on experience with summarization, Hands-on experience with semantic search, Hands-on experience with prediction, Experience with Python, Experience with SQL, Experience with cloud-native development, Experience with containerization, Experience with orchestration technologies, Experience with Docker, Experience with Kubernetes, Demonstrated ability to solve complex technical problems, Demonstrated ability to contribute to architectural decisions, Demonstrated ability to deliver high-performance solutions, Demonstrated ability to deliver reliable solutions, Experience working cross-functionally, Experience working with product managers, Experience working with engineers, Experience working with data scientists, Experience working in globally distributed teams, Experience working in fast-paced environments, Experience working in data-driven environments, Authorized to work in United States", "qualificationsPreferred" : "Advanced degree preferred, Working knowledge of Java, Working knowledge of Scala, Prior exposure to fintech, Prior exposure to financial data platforms, Experience authoring research papers, Participating in AI research community", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform. You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy. Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security. Primary Job Responsibilities: Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred 6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch Experience delivering production-grade GenAI or LLM-based systems with measurable business impact Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $170,000-$240,000 Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1 #LI-Onsite", "summaryDescription" : "Sr. Machine Learning Engineer at PitchBook Data. Skills: Machine Learning, Natural Language Processing, Generative AI, Large Language Models. Deliver AI and ML capabilities. Drive insight generation", "postedDate" : "2026-06-11T22:24:37.087", "createdAt" : "2026-06-11T22:24:37.087", "lastUpdated" : "2026-06-14T22:18:34.785", "ingestTimestamp" : "2026-06-11T22:24:37.087", "mongoId" : "6a2a839574d8ee00a06768fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Advanced data analytics", "Machine learning", "Natural language processing", "Generative AI", "Large language models", "Scalable data systems", "Model architecture", "Model training", "Model deployment", "Model maintenance", "Classifiers", "Transformers", "NLP techniques", "Data collection", "Research findings", "Model transparency", "Model monitoring", "Model evaluation", "Responsible AI use", "Data integrity", "Agile methodologies", "Lean methodologies", "Fast-Flow methodologies", "Curiosity", "Customer empathy", "Integrity", "Growth mindset", "Machine Learning", "Natural Language Processing", "Large Language Models", "Insight generation", "Data analysis", "Model development", "Model optimization", "Model operationalization", "Scalable systems", "Production systems", "Architectural decisions", "Business goals alignment", "AI/ML strategy", "Data enrichment", "Predictive intelligence", "Generative intelligence", "Performance standards", "Reliability standards", "Security standards", "Technical excellence", "Continuous improvement", "Engineering practices", "Model integration", "Data quality", "Product goals", "Emerging technologies", "Methodologies", "Tools", "Research findings translation", "Candidate evaluation", "Knowledge sharing", "Agile principles", "Lean principles", "Model development cycles", "Model deployment cycles", "Company vision", "Company values", "Role modeling", "Encouraging behaviors", "Company initiatives", "Company projects", "Agile", "Lean", "Fast-Flow", "Financial data platforms", "Docker", "Kubernetes" ], "skillCount" : 74, "jobCategory" : "engineering", "jobSubcategory" : "product-development", "dataQualityScore" : 1.0, "_score" : 546.9801, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a306616f292fd229cfae115", "title" : "Quality Control Analyst", "company" : "Synthego", "industry" : "Quality", "salary" : { "min" : 31.0, "max" : 35.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Redwood City, CA", "locations" : [ "Redwood City, CA" ], "timestamp" : "2026-06-16T13:16:37.697", "fingerprint" : "e93f5297ff8a66fa8961bb024b235a390b445c0b7af2e7c70afd638714d1b1be", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/synthego/26500153-7110-43e7-99a8-baf39085aa80/apply", "externalId" : "26500153-7110-43e7-99a8-baf39085aa80", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "HPLC, LC/MS, UV/Vis, PCR, NGS", "professionalSkills" : [ "Analytical testing", "Documentation" ], "hardSkillsList" : [ "GMP", "GDP", "ALCOA+" ], "hardSkills" : [ { "name" : "GMP", "level" : "intermediate" }, { "name" : "GDP", "level" : "intermediate" }, { "name" : "ALCOA+", "level" : "intermediate" } ], "majorSkills" : "GMP analytical testing, Documentation", "majorSkillsList" : [ "GMP analytical testing", "Documentation" ], "coreResponsibilities" : "Execute routine QC assays, Prepare samples, Manage samples, Prepare reagents, Manage reagents, Prepare standards, Manage standards, Prepare controls, Manage controls, Maintain instrument cleanliness, Perform routine instrument checks, Notify senior staff of issues, Document all work accurately, Document contemporaneously, Document in compliance with GMP, Document in compliance with GDP, Support routine lab maintenance, Support inventory, Support material readiness, Provide test execution details, Provide raw data, Support simple deviations, Support investigations, Participate in cross-training, Perform other duties as assigned", "teamCollaboration" : "Senior staff", "domainKnowledge" : "CRISPR technology; Cell and gene therapies", "domainList" : [ "crispr-technology", "cell-and-gene-therapies" ], "domainSpecificKnowledge" : [ "CRISPR technology", "Cell and gene therapies" ], "documentationSkills" : "Accurate documentation; GMP documentation; GDP documentation", "continuousLearning" : "Education Reimbursement Program", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Bachelor’s degree in Biology, Chemistry, Molecular Biology, or related scientific field, 1+ years experience in QC or a regulated analytical laboratory, Ability to follow detailed SOPs, Work with precision and consistency, Attention to detail, Adherence to data integrity principles", "qualificationsPreferred" : "Cross-training across analytical platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description The QC Analyst performs routine GMP analytical testing and documentation activities that support raw material, in-process, stability, and release testing. This entry-level role focuses on executing established methods, maintaining accurate and compliant records, and developing technical proficiency across QC operations under close supervision. ## Available Shift Shift: Day Hours: 8:00am to 4:30pm Days: Tuesday to Saturday ## What You'll Do Execute routine QC assays per approved SOPs (HPLC, LC/MS, UV/Vis, PCR, endotoxin, NGS, etc.). Prepare and manage samples, reagents, standards, and controls following ALCOA+ principles. Maintain instrument cleanliness and perform routine instrument checks and notify senior staff of any issues. Document all work accurately, contemporaneously, and in compliance with GMP and GDP expectations. Support routine lab maintenance, inventory, and material readiness. Provide test execution details or raw data to support simple deviations or investigations. Participate in cross-training to build competency across analytical platforms. Perform other duties as assigned. ## About You Bachelor’s degree in Biology, Chemistry, Molecular Biology, or related scientific field. 1+ years experience in QC or a regulated analytical laboratory. Ability to follow detailed SOPs and work with precision and consistency. Strong attention to detail and adherence to data integrity principles. Relevant combinations of education, experience, certifications, and merit may be considered upon management review. ## Perks & Benefits Medical, dental, and vision benefits 401k Program Catered meals on Tuesday and Thursday Paid parental leave Flexible paid time off Education Reimbursement Program ## Additional Information Our Mission Synthego® is a pioneering force in the biotechnology industry, dedicated to advancing the frontiers of CRISPR cell and gene therapies through cutting-edge CRISPR technology and expertise. Our mission is to provide unparalleled access to CRISPR solutions at scale, empowering applications from Discovery to Clinic. Driven by a visionary approach, we strive to accelerate the therapeutic development process with best-in-class CRISPR solutions, simplified licensing & expert guidance, driving the adoption and success of CRISPR-based therapies to benefit all patients.", "summaryDescription" : "Quality Control Analyst at Synthego. Skills: GMP analytical testing, Documentation. Execute routine QC assays. Prepare samples", "postedDate" : "2026-06-15T20:21:01.337", "createdAt" : "2026-06-15T20:21:01.337", "lastUpdated" : "2026-06-16T13:16:37.697", "ingestTimestamp" : "2026-06-16T03:24:22.421", "mongoId" : "6a306616f292fd229cfae115", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 35, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "GMP", "GDP", "ALCOA+", "GMP analytical testing", "Documentation", "Analytical testing", "CRISPR technology", "Cell and gene therapies" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 546.1645, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c953374d8ee00a098c8e8", "title" : "Speech-Language Pathologist (SLP)", "company" : "Ally Behavior Centers", "industry" : "Healthcare", "salary" : { "min" : 80000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Alexandria, Virginia, USA", "locations" : [ "Alexandria", "Virginia", "USA" ], "certifications" : [ "State licensure as SLP", "ASHA Certificate of Clinical Competence (CCC-SLP)" ], "timestamp" : "2026-06-15T22:23:30.296", "fingerprint" : "d8ddec3c2579486e0afd5f4402e8d6bba8490af35b985dbf33d2f69652c0d0b4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/allybehaviorcenters/jobs/4115189009", "externalId" : "4115189009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8051095,-77.0470229" } ], "locationText" : "Alexandria, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "EHR systems", "professionalSkills" : [ "Clinical assessment", "Treatment planning", "Patient education" ], "hardSkillsList" : [ "Speech therapy", "Language therapy", "Swallowing therapy" ], "hardSkills" : [ { "name" : "Speech therapy", "level" : "intermediate" }, { "name" : "Language therapy", "level" : "intermediate" }, { "name" : "Swallowing therapy", "level" : "intermediate" } ], "majorSkills" : "Speech-Language Pathology, Pediatric care, Clinical assessment", "majorSkillsList" : [ "Speech-Language Pathology", "Pediatric care", "Clinical assessment" ], "coreResponsibilities" : "Conduct comprehensive speech and language evaluations, Develop individualized treatment plans, Provide direct therapy services, Educate patients and families, Document patient progress, Collaborate with interdisciplinary team, Maintain patient records, Stay current with research", "teamCollaboration" : "Interdisciplinary team", "domainKnowledge" : "Pediatric speech disorders; Language development; Swallowing disorders; AAC devices", "domainList" : [ "pediatric-speech-disorders", "language-development", "swallowing-disorders", "aac-devices" ], "domainSpecificKnowledge" : [ "Pediatric speech disorders", "Language development", "Swallowing disorders", "AAC devices" ], "toolProficiency" : [ "EHR systems" ], "communicationSkills" : "Patient education", "documentationSkills" : "Patient records", "continuousLearning" : "Stay current with research", "problemSolvingSkills" : "Clinical assessment", "qualificationsBasic" : "Master's degree in Speech-Language Pathology, State licensure as SLP, ASHA Certificate of Clinical Competence (CCC-SLP), 3+ years of clinical experience", "qualificationsPreferred" : "Experience with pediatric feeding disorders, Experience with augmentative and alternative communication (AAC), Experience with dysphagia management, Experience with electronic health records (EHR)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ally Behavior is a full-time, center-based, early intervention Applied Behavior Analysis (ABA) therapy program, serving children with autism ranging from 18 months to 6 years of age. Our mission is to deliver the highest quality therapy to help our early learners reach their potential to communicate, improve social skills, and prepare for academic success. The children we serve are at the heart of everything we do and we are passionate about our commitment to having a meaningful impact in the lives of our children and their families. What Makes Us Unique: Full-time center-based work with a compensation potential of up to $100,000+ Monthly billable hour bonus eligibility In-house CEU's and professional development opportunities Loan forgiveness and tuition assistance up to $21,000 Guaranteed semi-monthly paycheck, regardless of client cancellations Interdisciplinary teams with Occupational Therapists & Board Certified Behavior Analysts Annual CEU Stipend of $1,000 Job Summary: To facilitate collaboration of care and superior treatment outcomes for our young learners, we currently have an opening for a Speech-Language Pathologist (SLP). Our center-based program delivers intensive early intervention for young children with autism. Each child receives 1-on-1 ABA therapy delivered by a technician and overseen by a Board Certified Behavior Analyst (BCBA) through the day. Most of our learners require Speech Therapy in addition to ABA and Occupational Therapy. We are looking for an energetic, motivated individual to provide high quality Speech Therapy, collaborate with our clinicians on case management, and help our learners maximize their potential. Ally Behavior is a dynamic, fun, and rewarding place to work that offers superior growth and leadership opportunities in a supportive, engaging environment. We have a unique and collaborative culture that is driven by our diverse team of professionals and our core values of Serving Others, Treatment Excellence, All One Ally, Resourceful in Finding Solutions, and Striving to Grow. Our comprehensive onboarding and training approach will support and prepare you to provide the best possible therapy to our clients! Your Day-to-Day Responsibilities: Carry a client caseload of up to 23 clients Complete parent training with each client on their caseload once per quarter Complete a parent training following an evaluation or reevaluation within one month. Meet the billable hour expectations of 40 thirty-minute sessions (20 billable hours) per week Collaborate with Occupational Therapists and Board Certified Behavior Analysts to coordinate the therapy of shared clients Attend team meetings as scheduled Maintain strict client confidentiality following HIPAA protocol Maintain open communication with families and clinical teams to ensure the most effective treatment and goals Due to the nature of working with young children, all clinical staff are required to change diapers, assist with toileting, and be able to physically work on the floor with children Experiential & Certification Requirements: Masters Degree required from a program in Speech Language Pathology which is accredited by the Education Standards Board or whose practice meets ASHA certification requirements Current and active Speech Therapy licensure in the state(s) of hire Meet the education and experience requirements for Certification of Clinical Competence in Speech Language Pathology or Audiology granted by ASHA Current Basic Life Support (BLS) certification Experience with early intervention and working with children with autism Ability to be on-site from 8:30am-5:30pm Monday through Friday required Reliable transportation and a valid driver's license Must submit to a federal, state, and county background check Physical Requirements: Ability to sit on the floor, kneel, crawl, squat, run or stand for extended periods of time Ability to reach and hold objects Ability to lift 30 pounds What You Will Bring: Enthusiasm to make a difference working with young children and their families Ability to maintain a caseload with a weekly billable hour requirement Exceptional ability in building trusting relationships and maintaining confidentiality Commitment to learn and pursue professional development Strong knowledge of SLP principles Strong leadership qualities Demonstration of professionalism and adherence to Ally policy to team members Effective communication skills Multi-tasking & time management Creative solutions to problems with the ability to quickly adapt Patience and calm demeanor in stressful situations Strong performance in team settings & collaboration with others What We Offer When Joining Our Team: Salaried, full-time position Monthly bonus eligibility (on top of base salary) Guaranteed semi-monthly paycheck (24) Company-sponsored DashPass 18 days of paid time off 9 paid holidays (5 set days + 4 \"floating\" holidays) CEU assistance and professional development opportunities Medical +HSA, Dental, and Vision coverage through Cigna Up to $9,000 in post-maternity childcare assistance 401(k) plan with company match. Employee Assistance Program Short Term Disability, Term-Life/AD&D Insurance, Critical Illness with Cancer Insurance, Accident Insurance, Hospital Confinement Insurance, and Pet Insurance Tuition Assistance eligibility at 6-month benchmark Pay Range $80,000—$100,000 USD Note: This position is NOT eligible for Visa sponsorship. Ally Behavior is an equal opportunity employer. In compliance with Federal and State Equal Opportunity Laws, qualified applicants are considered for all positions applied for without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, veteran status or any other legally protected status. Your personal information will be used for recruitment purposes only and handled in accordance with applicable privacy laws.", "summaryDescription" : "Speech-Language Pathologist (SLP) at Ally Behavior Centers. Skills: Speech-Language Pathology, Pediatric care, Clinical assessment. Conduct comprehensive speech and language evaluations. 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Our mission is to deliver the highest quality therapy to help our early learners reach their potential to communicate, improve social skills, and prepare for academic success. The children we serve are at the heart of everything we do and we are passionate about our commitment to having a meaningful impact in the lives of our children and their families. What Makes Us Unique: Full-time center-based work with a compensation potential of up to $100,000+ Monthly billable hour bonus eligibility In-house CEU's and professional development opportunities Loan forgiveness and tuition assistance up to $21,000 Guaranteed semi-monthly paycheck, regardless of client cancellations Interdisciplinary teams with Occupational Therapists & Board Certified Behavior Analysts Annual CEU Stipend of $1,000 Job Summary: To facilitate collaboration of care and superior treatment outcomes for our young learners, we currently have an opening for a Speech-Language Pathologist (SLP). Our center-based program delivers intensive early intervention for young children with autism. Each child receives 1-on-1 ABA therapy delivered by a technician and overseen by a Board Certified Behavior Analyst (BCBA) through the day. Most of our learners require Speech Therapy in addition to ABA and Occupational Therapy. We are looking for an energetic, motivated individual to provide high quality Speech Therapy, collaborate with our clinicians on case management, and help our learners maximize their potential. Ally Behavior is a dynamic, fun, and rewarding place to work that offers superior growth and leadership opportunities in a supportive, engaging environment. We have a unique and collaborative culture that is driven by our diverse team of professionals and our core values of Serving Others, Treatment Excellence, All One Ally, Resourceful in Finding Solutions, and Striving to Grow. Our comprehensive onboarding and training approach will support and prepare you to provide the best possible therapy to our clients! Your Day-to-Day Responsibilities: Carry a client caseload of up to 23 clients Complete parent training with each client on their caseload once per quarter Complete a parent training following an evaluation or reevaluation within one month. Meet the billable hour expectations of 40 thirty-minute sessions (20 billable hours) per week Collaborate with Occupational Therapists and Board Certified Behavior Analysts to coordinate the therapy of shared clients Attend team meetings as scheduled Maintain strict client confidentiality following HIPAA protocol Maintain open communication with families and clinical teams to ensure the most effective treatment and goals Due to the nature of working with young children, all clinical staff are required to change diapers, assist with toileting, and be able to physically work on the floor with children Experiential & Certification Requirements: Masters Degree required from a program in Speech Language Pathology which is accredited by the Education Standards Board or whose practice meets ASHA certification requirements Current and active Speech Therapy licensure in the state(s) of hire Meet the education and experience requirements for Certification of Clinical Competence in Speech Language Pathology or Audiology granted by ASHA Current Basic Life Support (BLS) certification Experience with early intervention and working with children with autism Ability to be on-site from 8:30am-5:30pm Monday through Friday required Reliable transportation and a valid driver's license Must submit to a federal, state, and county background check Physical Requirements: Ability to sit on the floor, kneel, crawl, squat, run or stand for extended periods of time Ability to reach and hold objects Ability to lift 30 pounds What You Will Bring: Enthusiasm to make a difference working with young children and their families Ability to maintain a caseload with a weekly billable hour requirement Exceptional ability in building trusting relationships and maintaining confidentiality Commitment to learn and pursue professional development Strong knowledge of SLP principles Strong leadership qualities Demonstration of professionalism and adherence to Ally policy to team members Effective communication skills Multi-tasking & time management Creative solutions to problems with the ability to quickly adapt Patience and calm demeanor in stressful situations Strong performance in team settings & collaboration with others What We Offer When Joining Our Team: Salaried, full-time position Monthly bonus eligibility (on top of base salary) Guaranteed semi-monthly paycheck (24) Company-sponsored DashPass 18 days of paid time off 9 paid holidays (5 set days + 4 \"floating\" holidays) CEU assistance and professional development opportunities Medical +HSA, Dental, and Vision coverage through Cigna Up to $9,000 in post-maternity childcare assistance 401(k) plan with company match. Employee Assistance Program Short Term Disability, Term-Life/AD&D Insurance, Critical Illness with Cancer Insurance, Accident Insurance, Hospital Confinement Insurance, and Pet Insurance Tuition Assistance eligibility at 6-month benchmark Pay Range $80,000—$100,000 USD Note: This position is NOT eligible for Visa sponsorship. Ally Behavior is an equal opportunity employer. In compliance with Federal and State Equal Opportunity Laws, qualified applicants are considered for all positions applied for without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, veteran status or any other legally protected status. Your personal information will be used for recruitment purposes only and handled in accordance with applicable privacy laws.", "summaryDescription" : "Speech-Language Pathologist (SLP) at Ally Behavior Centers. Skills: Speech-Language Pathology, Pediatric care, Clinical assessment. Conduct comprehensive speech and language evaluations. 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Through our proprietary MagCycle℠ and REEPure℠ processes, we recover rare earths from end-of-life products and transform them into high purity materials used in the production of permanent magnets. These materials are critical to the modern economy, including the production of electric vehicles, electronics, AI infrastructure, wind turbines, defense, and advanced manufacturing technologies. Founded in 2021, Cyclic Materials has rapidly progressed from technology development to commercialization. We currently operate facilities in Ontario and Arizona, with a new expansion underway in South Carolina. Backed by US$75 million in Series C financing led by T. Rowe Price, alongside strategic investors including Microsoft, Amazon, Hitachi Ventures, BMW i Ventures, Jaguar Land Rover’s InMotion fund, Energy Impact Partners, ArcTern Ventures, and Fifth Wall, we are scaling to meet growing global demand for a secure and sustainable rare earth supply. We have established commercial partnerships with global industry leaders such as Solvay, Vattenfall, Lime, and VACUUMSCHMELZE, enabling the deployment of recycled rare earth materials into real world supply chains. In 2025, Cyclic Materials was named one of the Top 10 Climate Tech Companies to Watch by MIT Technology Review. We are growing quickly and building the industrial backbone required for a circular rare earth economy. Joining Cyclic Materials means working on complex and exciting challenges at scale, alongside a team committed to executing and delivering measurable impact. If you are motivated by building critical infrastructure and advancing the circular economy, join us and help accelerate the growth of rare earth recycling. Position Overview The Machine Operator in a metal recycling plant is responsible for safely operating and maintaining machinery used in the recycling process. This includes equipment for sorting, shredding, crushing, and processing metals. The role requires attention to detail, adherence to safety protocols, and the ability to troubleshoot and resolve issues with machinery. Responsibilities Machine Operation: Operate various machines and equipment used in the metal recycling process, including shredders, crushers, balers, and sorters. Monitor the machinery to ensure optimal performance and efficient recycling of metals. Maintenance and Cleaning: Perform routine maintenance tasks, such as lubricating machinery, replacing worn-out parts, and cleaning equipment to ensure safe and efficient operation. Identify mechanical issues and report them to maintenance personnel or troubleshoot minor issues independently. Quality Control Inspect processed metals for quality and consistency, ensuring that the end product meets the required specifications. Ensure all recycling processes comply with industry standards and regulations. Safety Compliance: Follow all safety procedures and guidelines, including wearing appropriate personal protective equipment (PPE) Conduct safety checks and monitor equipment for potential hazards. Report safety violations or concerns promptly. Material Handling: Load and unload metal materials into machines for processing. Assist in sorting metals according to type, grade, and size, ensuring proper processing techniques are used. Record Keeping: Maintain accurate records of machine performance, maintenance schedules, and production output. Document any operational issues or material discrepancies. Team Collaboration: Work closely with other operators, maintenance teams, and supervisors to ensure smooth plant operations. Communicate effectively to resolve any production delays or issues. Additional Key Responsibilities Operate safety equipment and consistently follow safe work habits and company safety procedures. Operate machinery used in the production process and assist machine operators as required. Inspect incoming and processed materials and sort items into designated piles, bins, containers, or barrels according to type, size, condition, color, markings, or other characteristics. Load and unload materials from machines, conveyors, and other processing equipment. Clean, inspect, and lubricate equipment to ensure safe and efficient operation. Sweep, shovel, and remove residual waste and debris generated during processing activities. Perform other duties and responsibilities as assigned by supervisors or management. Enhanced Physical Requirements Regularly required to stand for extended periods and use hands to handle, feel, and manipulate materials and equipment. Frequently required to reach with hands and arms, climb, balance, and communicate effectively. Occasionally required to walk, stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds, and occasionally lift heavier materials with appropriate assistance or equipment. Requires close vision, distance vision, peripheral vision, depth perception, and the ability to adjust focus. Must be able to work outdoors and in varying weather conditions, including extreme heat, cold, snow, and other environmental conditions. Ability to work safely in a loud industrial environment. Pre-Employment Requirements Must successfully pass a background check, physical examination, and drug screening as a condition of employment. Working Conditions: This position will be expected to work in a plant environment with exposure to loud noise, dust, and varying temperatures. The job may involve shift work, weekend shifts, or on-call availability depending on operational needs. Use of personal protective equipment (PPE) including gloves, safety glasses, and steel-toed boots is mandatory. Why You Will Love Cyclic Materials At Cyclic Materials, we're dedicated to supporting our workforce on their unique career journey We offer a competitive compensation package including Health and Dental coverage, RRSP (Canada)/ 401K (USA) contributions and a generous paid time off program that lets you recharge We value diversity and are committed to maintaining a workplace where everyone is respected and recognized for their contributions The base compensation offered is determined based on the successful candidate’s relevant experience, skills, and competencies and considers internal equity. As an Equal Opportunity employer, Cyclic Materials is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email HumanResources@cyclicmaterials.earth. Applicants for employment in the Canada and US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States or Canada and with Cyclic Materials (i.e., H1-B visa, F-1 visa (OPT), TN, L1-A visa or any other non-immigrant status). To all applicants, your interest and effort are sincerely appreciated. While we thank everyone for their application, only those selected for an interview will be contacted.", "summaryDescription" : "Machine Operator at Cyclic Materials Inc.", "postedDate" : "2026-06-14T21:37:17.009", "createdAt" : "2026-06-14T21:37:17.009", "lastUpdated" : "2026-06-16T00:58:23.624", "ingestTimestamp" : "2026-06-14T21:37:17.009", "mongoId" : "6a2ca4d574d8ee00a09b37d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 542.0989, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c0174d8ee00a09163ac", "title" : "Localization Language Lead - German", "company" : "2K", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Localization Language Lead - German in Madrid, Spain, adjusted for the media industry and full-time employment." }, "location" : "Madrid, Spain", "locations" : [ "Madrid", "Spain" ], "timestamp" : "2026-06-16T01:30:39.746", "fingerprint" : "e9de4650e67da6b6dbd8fb5a29840f351af0410ebde8d884ae673b1ae00f2dc8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/2kmadrid/jobs/7769396003", "externalId" : "7769396003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Project management", "Vendor management", "Localization strategy" ], "hardSkillsList" : [ "Localization engineering", "LQA" ], "hardSkills" : [ { "name" : "Localization engineering", "level" : "intermediate" }, { "name" : "LQA", "level" : "intermediate" } ], "majorSkills" : "Localization, Quality Assurance", "majorSkillsList" : [ "Localization", "Quality Assurance" ], "coreResponsibilities" : "Manage localization projects, Oversee localization vendors, Develop localization processes, Ensure quality of localized content, Collaborate with internal teams, Support localization engineers, Manage localization budgets, Drive localization strategy", "teamCollaboration" : "Internal teams; Localization vendors", "projectManagementSkills" : [ "Project management", "Vendor management" ], "domainKnowledge" : "Game localization; Localization engineering; AAA titles", "domainList" : [ "game-localization", "localization-engineering", "aaa-titles" ], "domainSpecificKnowledge" : [ "Game localization", "Localization engineering", "AAA titles" ], "toolProficiency" : [ "CAT tools", "TMS" ], "qualificationsBasic" : "5+ years of experience in localization, Experience with CAT tools, Experience with TMS", "qualificationsPreferred" : "Experience with game localization, Experience with AAA titles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TITLE: Localization Language Lead German Who We Are At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K, one of the top-selling franchises in the world, and legendary titles like BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, and XCOM®, as well as fan favorites WWE® 2K, TopSpin®, and PGA TOUR® 2K. We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. What We Need As part of our Global Loc 2.0 evolution, 2K is deepening its investment in language-specific leadership to improve the voice, cultural authenticity, and overall quality of our localized content. We are seeking a Game Localization Lead to own the linguistic direction and execution strategy for all German content across 2K’s game portfolio. This is an individual contributor role within the Content Localization (CLOC) team. You’ll serve as the key German language authority, working with minimal supervision across complex projects. You’ll apply deep linguistic and cultural expertise while partnering with developers, producers, QA, and publishing stakeholders to ensure language quality meets player expectations and platform-holder standards. What You’ll Do Own the localization strategy, quality bar, and final sign-off for German content across all 2K titles Review and edit localized content (in-game text, UI, scripts, VO) for tone, clarity, fluency, and cultural relevance Develop, maintain, and enforce glossaries, style guides, and cultural content policies for the German market Collaborate with cross-functional teams—localization producers, embedded LQA, marketing, publishing, and dev—to guide language decisions and alignment Serve as the main linguistic escalation point for German-related bugs, tone disputes, or QA challenges Supervise and provide feedback to entry- and mid-level linguists or vendors working on German content Consult with game studios and content owners on German age rating requirements, terminology usage, and visual/language compliance Lead VO casting, script review, and direct creative sessions during German voiceover production Regularly review in-development and near-final builds to audit for tone, consistency, and cultural resonance Recommend and help implement process improvements that improve quality, reduce error rates, or optimize turnaround time for German localization Participate in Global Loc 2.0 initiatives, working with senior leadership to shape evolving localization standards, practices, and tooling What Will Make You A Great Fit Professional localization experience in games, tech, or entertainment Native fluency in German, with demonstrated mastery of tone, grammar, and regional nuance Advanced English fluency (written and spoken); capable of representing language decisions across global teams Proven ability to work independently on complex language projects, exercising judgment and creativity in ambiguous or conflicting situations Strong working knowledge of platform-holder guidelines, naming conventions, and brand alignment principles Comfortable overseeing or mentoring junior linguists and freelance vendors Familiarity with localization tools (e.g., CAT tools, translation memory systems, XLOC, JIRA, CMS) Deep understanding of German culture, media, and the German -speaking gaming audience Experience with VO scripting, dubbing production, and linguistic performance direction is a plus Bachelor's degree in translation, linguistics, media, or related field preferred Why Join Us? As a Game Localization Lead for German, you will directly shape how our players in Germany and other German-speaking regions experience our games. You’ll own language strategy, guide voice and tone across titles, and play a key role in 2K’s broader effort to deliver best-in-class localized content through a modern, embedded, and scalable localization model. As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. #LI-Onsite", "summaryDescription" : "Localization Language Lead - German at 2K. Skills: Localization, Quality Assurance. Manage localization projects. 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"hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6949b14570f0b99d58827164", "title" : "Speech Language Pathologist Assistant", "company" : "Little Early Childhood Center", "industry" : "Education", "salary" : { "min" : 300000.0, "max" : 500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level Speech Language Pathologist Assistant in India, adjusted for part-time employment and the healthcare industry." }, "location" : "Little Early Childhood Center", "locations" : [ "Little Early Childhood Center", "1613 Piatt", "67214" ], "certifications" : [ "Speech Language Pathology Assistant Certification" ], "timestamp" : "2026-06-16T02:01:27.246", "fingerprint" : "80703522db537f4923dbf60fdb2b3626d078bd7c076ee5cc2ef717c8fa1b3f9c", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=85851", "externalId" : "85851", "industryFunction" : { }, 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Document student performance by tallying data for the SLP to use or preparing charts, records, or graphs and report this information to the supervising SLP. Program and provide instruction in the use of augmentative and alternative communication devices. Provide services under SLP supervision in another language for individuals who do not speak English and English-language learners. Assist with clerical duties, such as preparing materials and scheduling activities, as directed by the SLP. Perform checks and maintenance of equipment. Assist with departmental operations (scheduling, recordkeeping, etc.) Present primary prevention information to individuals and groups known to be at rish for communication disorders and other appropriate groups; promote early identification and early intervention activities. Advocate for individuals and families through community awareness, health literacy, education, and training programs to promote and facilitate access to full participation in communication, including the elimination of societal, cultural, and linguistic barriers. Additional Duties: Assists with additional duties as assigned by supervisor. Equipment: The employee must demonstrate the ability to use basic office equipment such as computers, scanners, copiers, and fax machine. Must always comply with USD 259's guidelines for equipment use. Travel: Frequent travel between schools may be required. Physical and Mental Demands: Work in school building environments Regular attendance is important Exhibit a friendly professional manner with customers and students Knowledge, Skills, and Abilities: Knowledge of language, articulation and hearing disorders Knowledge of child growth and development behavior characteristics, particularly pertaining to students identified as special education Proven use of effective collaboration skills Excellent oral and written communication skills Excellent personal relationship skills Ability to organize, communicate effectively, make decisions, work independently and as a member of a team Basic computer proficiency Use of good judgment to make decisions on recurring assignments Ability to perform a variety of tasks, meet deadlines, and work in a calm and efficient manner Ability to work with little or no supervision Ability to communicate effectively with a supervisor when discretion is required Displays a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with administrative, certified and classified personnel within the district as well as outside vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Bachelor's Degree in Communication Sciences and Disorders or Bachelor's Degree in Certified Speech-Language Pathology Assistant, or Speech Language Pathology Assistant Certification required FLSA Status: Non-Exempt", "summaryDescription" : "Speech Language Pathologist Assistant at Little Early Childhood Center. 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The Speech-Language Pathologist provides services to identified speech-language impaired students, consults with staff regarding speech-language needs of students, and participates in MTSS building wide by providing communication, literacy, and behavior support. Essential Performance Responsibilities: Informs faculty members of the speech-language program. This includes providing information concerning method of referrals, intervention strategies, MTSS supports, testing procedures, and scheduling students for speech-language therapy Organizes and manages a schedule based upon the needs of each school and students, within the limits prescribed by Kansas State Department of Education and the Kansas Guidelines for Speech-Language Services Follows the appropriate state guidelines and district policies and procedures relating to speech-language services Meets the individual needs of students by developing materials for use in speech-language therapy, facilitation of classroom communication, and MTSS Maintains an accurate attendance log that reflects services provided during the year and files the original in the student official special education file then submits a copy of this log to the Speech-Language Coordinator upon checking out at the end of the school year Logs Medicaid for each student on the assigned caseload and keeps Medicaid logging up to date by the last working day of each month Participates in the comprehensive evaluation or reevaluation of students identified with a speech-language concern Maintains current Individualized Education Plans for students on the assigned Speech-Language caseload with appropriate goals and objectives that address individual student need Attends meetings of the Child Study Team when appropriate Serves as a resource person for school personnel, study groups, and community organizations Serves on projects as designated by the Coordinator Additional Duties: Assists with additional duties as assigned by supervisor. Equipment: The employee must demonstrate the ability to use basic office equipment such as computers, scanners, copiers, and fax machine. Must always comply with WPS guidelines for equipment use. Travel: Limited travel between schools and central offices may be required. Physical and Mental Demands: Work in standard office and school building environments Ability to work outdoors during outdoor student activities Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Basic computer proficiency and the ability to effectively use Microsoft Word and Outlook which will be determined and validated by testing Use of good judgment to make decisions on recurring assignments Ability to communicate effectively with a supervisor when their discretion is needed Displays a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Master's Degree in Communication Sciences and Disorders meeting the qualifications to hold a license in Speech-Language Pathology through the Kansas Department for Aging and Disability Services preferred New graduates who qualify for a temporary license in Speech-Language Pathology and provide licensure and Clinical Fellowship Year supervision needed to obtain full licensure in the State of Kansas and the Certificate of Clinical Competence through ASHA accepted but subject to completion of program for renewal of contract beyond 1 year FLSA Status: Exempt", "summaryDescription" : "Speech Language Pathologist - Elementary. 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We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. What We Need As part of our Global Loc 2.0 evolution, 2K is deepening its investment in language-specific leadership to improve the voice, cultural authenticity, and overall quality of our localized content. We are seeking a Game Localization Lead to own the linguistic direction and execution strategy for all Spanish content across 2K’s game portfolio. This is an individual contributor role within the Content Localization (CLOC) team. You’ll serve as the key Spanish language authority, working with minimal supervision across complex projects. You’ll apply deep linguistic and cultural expertise while partnering with developers, producers, QA, and publishing stakeholders to ensure language quality meets player expectations and platform-holder standards. What You’ll Do Own the localization strategy, quality bar, and final sign-off for Spanish content across all 2K titles Review and edit localized content (in-game text, UI, scripts, VO) for tone, clarity, fluency, and cultural relevance Develop, maintain, and enforce glossaries, style guides, and cultural content policies for the Spanish market Collaborate with cross-functional teams—localization producers, embedded LQA, marketing, publishing, and dev—to guide language decisions and alignment Serve as the main linguistic escalation point for Spanish-related bugs, tone disputes, or QA challenges Supervise and provide feedback to entry- and mid-level linguists or vendors working on Spanish content Consult with game studios and content owners on Spanish age rating requirements, terminology usage, and visual/language compliance Lead VO casting, script review, and direct creative sessions during Spanish voiceover production Regularly review in-development and near-final builds to audit for tone, consistency, and cultural resonance Recommend and help implement process improvements that improve quality, reduce error rates, or optimize turnaround time for Spanish localization Participate in Global Loc 2.0 initiatives, working with senior leadership to shape evolving localization standards, practices, and tooling What Will Make You A Great Fit Professional localization experience in games, tech, or entertainment Native fluency in Spanish, with demonstrated mastery of tone, grammar, and regional nuance Advanced English fluency (written and spoken); capable of representing language decisions across global teams Proven ability to work independently on complex language projects, exercising judgment and creativity in ambiguous or conflicting situations Strong working knowledge of platform-holder guidelines, naming conventions, and brand alignment principles Comfortable overseeing or mentoring junior linguists and freelance vendors Familiarity with localization tools (e.g., CAT tools, translation memory systems, XLOC, JIRA, CMS) Deep understanding of Spanish culture, media, and the Spanish-speaking gaming audience Experience with VO scripting, dubbing production, and linguistic performance direction is a plus Bachelor's degree in translation, linguistics, media, or related field preferred Why Join Us? As a Game Localization Lead for Spanish, you will directly shape how our players in Spain and other Spain -speaking regions experience our games. You’ll own language strategy, guide voice and tone across titles, and play a key role in 2K’s broader effort to deliver best-in-class localized content through a modern, embedded, and scalable localization model. #LI-Onsite As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never use instant messaging apps or personal email accounts to contact prospective employees or conduct interviews, and when emailing, only use 2K.com accounts.", "summaryDescription" : "Localization Language Lead - Spanish at 2K", "postedDate" : "2026-06-14T19:59:10.006", "createdAt" : "2026-06-14T19:59:10.006", "lastUpdated" : "2026-06-16T02:37:59.380", "ingestTimestamp" : "2026-06-14T19:59:10.006", "mongoId" : "6a2c6c0174d8ee00a09163b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 532.03326, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307fbbf292fd229c05cf0b", "title" : "Laser Machine Operator", "company" : "Crown Technical Systems", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Laser Machine Operator in Dallas, United States, adjusted for the manufacturing industry and company size." }, "location" : "USA, TX, Dallas", "locations" : [ "USA, TX, Dallas", "United States of America" ], "timestamp" : "2026-06-16T12:59:37.185", "fingerprint" : "2995e37f12f45de8efe0c364f1513e008cb744dd20905aa7a2ae8dbba85efbe7", "source" : "workday", "language" : "en", "applyUrl" : "https://flextronics.wd1.myworkdayjobs.com/Anord_Mardix_Careers/job/USA-TX-Dallas/Laser-Operator_WD223261-3", "externalId" : "WD223261", "industryFunction" : { }, "locationPoint" : "31.47185,-83.64684", "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Crown Technical Systems, a Flex Company, is a leader in power distribution and protection systems concentrating on sophisticated, state-of-the-art relay and control panels, medium voltage switchgear, and enclosures (power/control buildings/ E-Houses). We specialize in customized, turn-key solutions that ensure safe, secure, and reliable power distribution. Working at Crown Technical Systems offers a dynamic and rewarding career path for individuals seeking to power the world. Through hands-on training, mentorship, and a culture of internal promotion, we empower you to reach your full potential and contribute to projects that truly matter. ## ## Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a**Laser Machine Operator** located in Dallas, Texas. Reporting to the Operations Manager, the **Laser Machine Operator** is responsible for operating and maintaining laser cutting machines to precision-cut various materials, ensuring high-quality products and efficient production processes. **Work Environment:** Work in a manufacturing environment with laser cutting machines. **Shift:** Monday – Friday, 6:00 AM - 2:30 PM **What a typical day looks like:** * Set up, operate, and monitor laser cutting machines * Prepare materials for cutting, ensuring proper alignment, and positioning. * Inspect cut products for quality and accuracy * Perform routine maintenance tasks, such as cleaning and lubricating the machine * Identify and troubleshoot issues with the machine or cutting process. **The experience we’re looking to add to our team:** * High school diploma or equivalent * Previous experience with laser cutting machines or similar equipment * Certifications in laser cutting or CNC machining preferred * Experience with laser cutting machines and software * Strong attention to detail to ensure high-quality products * Understanding of mechanical systems and maintenance procedures * Knowledge of safety protocols and procedures. **Physical Requirements:** * Prolonged periods of standing, pushing, pulling, lifting, and carrying materials. * Must be able to lift 35 pounds at a time * Must wear PPE, such as gloves, safety glasses, hard hat, and ear protection, while working on the production floor **What you 'll receive for the great work you provide:** * Full range of medical, dental, and vision plans * Life Insurance * Short-term and Long-term Disability * Matching 401(k) Contributions * Vacation and Paid Sick Time * Tuition Reimbursement Application Deadline: Applications for this job position will be accepted for at least five days following the job posting start date below and continuing until the end date below or until the position is filled. This posting may close sooner due to application volume. Job Posting Start Date 06-15-2026 Job Posting End Date 09-04-2026 ## ## Job Category Operations ## Is Sponsorship Available? No Crown is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Crown, you must complete the application process first).", "summaryDescription" : "Laser Machine Operator at Crown Technical Systems", "postedDate" : "2026-06-16T04:05:22.742", "createdAt" : "2026-06-16T04:05:22.732", "lastUpdated" : "2026-06-16T12:59:37.185", "ingestTimestamp" : "2026-06-16T04:05:22.732", "mongoId" : "6a307fbbf292fd229c05cf0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://flextronics.wd1.myworkdayjobs.com/Anord_Mardix_Careers/job/USA-TX-Dallas/Laser-Operator_WD223261-3", "salaryAnnualMin" : 38000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 530.3021, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7b5374d8ee00a09492f3", "title" : "Associate Director - Language Arts", "company" : "Art of Problem Solving", "industry" : "Education", "salary" : { "min" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Frisco, Texas, United States", "locations" : [ "Frisco", "Texas", "United States" ], "timestamp" : "2026-06-15T07:59:27.497", "fingerprint" : "a0f1798b8a66bf12f2805c172ceb4b3aa217690946225c665ecbbc6de0f95666", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://artofproblemsolving.com/careers/job/7770803003?gh_jid=7770803003", "externalId" : "7770803003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frisco", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1505998,-96.8238183" } ], "locationText" : "Frisco, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Director", "professionalSkills" : [ "Priority management" ], "hardSkillsList" : [ "Classroom management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Classroom management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Language arts", "majorSkillsList" : [ "Language arts" ], "coreResponsibilities" : "Teach AoPS curriculum, Engage students, Manage classroom, Participate in hiring, Participate in training, Assist with administrative operations, Assist with logistical operations, Assist with customer service operations, Support campus enrollment, Support sales efforts, Meet with prospective families, Assess student academic ability, Determine student fit, Explain program benefits, Counsel current students, Counsel families, Design community building activities, Implement community building activities", "teamCollaboration" : "Partner with Campus Director; Collaborate with instructors", "domainKnowledge" : "Language arts curriculum", "domainList" : [ "language-arts-curriculum" ], "domainSpecificKnowledge" : [ "Language arts curriculum" ], "communicationSkills" : "Exceptional communication", "innovationCreativity" : "Creative individual", "outcomesObjectives" : "Build campus culture; Support high student retention", "qualificationsBasic" : "Bachelor's degree required, Minimum 1-year teaching experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with advanced K-12 students preferred", "workSiteFlexibility" : "Onsite", "rawDescription" : "The AoPS Academy Associate Director at our Frisco campus is responsible for assisting with the campus’s administrative and logistical operations, teaching weekly language arts classes, and partnering with the Campus Director on the hiring and training of part-time staff and teachers. This role is a full-time, year-round position which includes the academic year and summer. This may be the right job for you if you are looking to build on your management and leadership experience, have strong subject knowledge in language arts and have outstanding classroom management skills. The ideal candidate will have exceptional communication skills and pedagogical instincts to not only teach our advanced curriculum, but also coach and collaborate with other instructors. If you’re an ambitious and creative individual with a passion for education, we want to talk to you! The Associate Director will: Teach the AoPS curriculum in dynamic, participation-oriented classes, actively engaging students and expertly managing the classroom. Participate in the hiring and training of part-time staff. Assist with the campus’s administrative, logistical, and customer service operations. Support campus enrollment and sales efforts by meeting with prospective families to assess a student's academic ability, determine overall fit, and explain the benefits of our program. Counsel current students and families as needed to provide student support. Helps design and implement campus community building activities in order to build a strong campus culture and support high student retention. The ideal candidate has: Bachelor’s degree required, strongly preferred to be in education or a field closely related to their subject area Advanced degree related to subject area preferred Strong content knowledge in their subject area Minimum 1-year teaching experience, with experience working with advanced K-12 students preferred Strong organizational and priority management skills Work Schedule AoPS Academy is an after-school program; most of our classes and family meetings occur during the evenings and on weekends. As such, it's expected that Associate Directors work a nontraditional schedule during the academic year. Summer hours typically shift to a more standard Monday to Friday work schedule. Benefits This position includes a competitive starting salary of $65,000 and an annual bonus based on campus performance. Additionally, you'll benefit from built-in promotional opportunities that recognize and reward your individual achievements. Impact: Opportunity to work closely with motivated students, develop leadership and management experience, work with a team of passionate educators in pursuit of our shared mission. Culture: Work and collaborate with an organization filled with builders and life-long learners who strive to discover, inspire, and train the great problem solvers of the next generation Benefits: Multiple options for Medical, Dental and Vision plans Future Planning: 401k with company match Quality of Life: PTO Plan and supportive leadership Ease of Transition: Relocation bonus for candidates living outside the greater area. About AoPS Academy AoPS Academy is a year-round educational enrichment program. Since 1993, AoPS has prepared hundreds of thousands of students for college and career success through engaging curriculum, expert online instruction, and local, in-person academies. AoPS Academy is a program of Art of Problem Solving, a global leader in K–12 advanced education. AoPS Academy brings the AoPS methodology to small live physical and virtual classrooms. We offer a world-class curriculum in math, science, and language arts for students in grades 1-12, creating an environment where exploration meets challenge, right in your local neighborhood. Students learn in small classes led by accomplished instructors and collaborate with a peer group who share their passion for learning. We have opened 20+ academies across the nation since 2016 and are still growing! Please note that in order to be considered for this position you must be legally authorized to work in the US. We are unable to offer sponsorship, including STEM-OPT and H-1B.", "summaryDescription" : "Associate Director - Language Arts at Art of Problem Solving. Skills: Language arts. Teach AoPS curriculum. Engage students", "postedDate" : "2026-06-13T21:55:50.096", "createdAt" : "2026-06-13T21:55:50.096", "lastUpdated" : "2026-06-15T07:59:27.497", "ingestTimestamp" : "2026-06-13T21:55:50.096", "mongoId" : "6a2c7b5374d8ee00a09492f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Classroom management", "Leadership", "Language arts", "Priority management", "Language arts curriculum" ], "skillCount" : 5, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 529.83813, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c0174d8ee00a09163af", "title" : "Localization Language Lead - Italian", "company" : "2K", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Localization Language Lead - Italian in Madrid, Spain, adjusted for the media industry and company size." }, "location" : "Madrid, Spain", "locations" : [ "Madrid", "Spain" ], "timestamp" : "2026-06-16T05:24:13.108", "fingerprint" : "0dfeb56f1e78930aaa5d0ede13461288e8ad72b3d4c11c5cdd23afd4d152dace", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/2kmadrid/jobs/7769403003", "externalId" : "7769403003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "rawDescription" : "TITLE: Localization Language Lead Italian Who We Are At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K, one of the top-selling franchises in the world, and legendary titles like BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, and XCOM®, as well as fan favorites WWE® 2K, TopSpin®, and PGA TOUR® 2K. We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. What We Need As part of our Global Loc 2.0 evolution, 2K is deepening its investment in language-specific leadership to improve the voice, cultural authenticity, and overall quality of our localized content. We are seeking a Game Localization Lead to own the linguistic direction and execution strategy for all Italian content across 2K’s game portfolio. This is an individual contributor role within the Content Localization (CLOC) team. You’ll serve as the key Italian language authority, working with minimal supervision across complex projects. You’ll apply deep linguistic and cultural expertise while partnering with developers, producers, QA, and publishing stakeholders to ensure language quality meets player expectations and platform-holder standards. What You’ll Do Own the localization strategy, quality bar, and final sign-off for Italian content across all 2K titles Review and edit localized content (in-game text, UI, scripts, VO) for tone, clarity, fluency, and cultural relevance Develop, maintain, and enforce glossaries, style guides, and cultural content policies for the Italian market Collaborate with cross-functional teams—localization producers, embedded LQA, marketing, publishing, and dev—to guide language decisions and alignment Serve as the main linguistic escalation point for Italian-related bugs, tone disputes, or QA challenges Supervise and provide feedback to entry- and mid-level linguists or vendors working on Italian content Consult with game studios and content owners on Italian age rating requirements, terminology usage, and visual/language compliance Lead VO casting, script review, and direct creative sessions during Italian voiceover production Regularly review in-development and near-final builds to audit for tone, consistency, and cultural resonance Recommend and help implement process improvements that improve quality, reduce error rates, or optimize turnaround time for Italian localization Participate in Global Loc 2.0 initiatives, working with senior leadership to shape evolving localization standards, practices, and tooling What Will Make You A Great Fit Professional localization experience in games, tech, or entertainment Native fluency in Italian, with demonstrated mastery of tone, grammar, and regional nuance Advanced English fluency (written and spoken); capable of representing language decisions across global teams Proven ability to work independently on complex language projects, exercising judgment and creativity in ambiguous or conflicting situations Strong working knowledge of platform-holder guidelines, naming conventions, and brand alignment principles Comfortable overseeing or mentoring junior linguists and freelance vendors Familiarity with localization tools (e.g., CAT tools, translation memory systems, XLOC, JIRA, CMS) Deep understanding of Italian culture, media, and the Italian -speaking gaming audience Experience with VO scripting, dubbing production, and linguistic performance direction is a plus Bachelor's degree in translation, linguistics, media, or related field preferred Why Join Us? As a Game Localization Lead for Italian, you will directly shape how our players in Italy and other Italian -speaking regions experience our games. You’ll own language strategy, guide voice and tone across titles, and play a key role in 2K’s broader effort to deliver best-in-class localized content through a modern, embedded, and scalable localization model. #LI-Onsite As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never use instant messaging apps or personal email accounts to contact prospective employees or conduct interviews, and when emailing, only use 2K.com accounts.", "summaryDescription" : "Localization Language Lead - Italian at 2K", "postedDate" : "2026-06-14T18:33:22.107", "createdAt" : "2026-06-14T18:33:22.107", "lastUpdated" : "2026-06-16T05:24:13.108", "ingestTimestamp" : "2026-06-14T18:33:22.107", "mongoId" : "6a2c6c0174d8ee00a09163af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 529.7871, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3082bdf292fd229c06e960", "title" : "Label Machine Operator", "company" : "Avery Dennison", "industry" : "Packaging And Containers", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Junior Label Machine Operator in Dallas, United States, with 1-2 years of experience in the Manufacturing industry." }, "location" : "Dallas, TX, United States", "locations" : [ "Dallas", "TX", "United States" ], "timestamp" : "2026-06-16T12:59:08.827", "fingerprint" : "749ff754b5dd3951a468d6d7a8aeebb15ebe60b56e19a16f1d20ac9ff3a3ccd5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AveryDennison/744000132263519-label-machine-operator", "externalId" : "744000132263519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2025 were $8.9 billion. Learn more at[www.averydennison.com](http://www.averydennison.com). At Avery Dennison, some of the great benefits we provide are: * Health & Wellness benefits starting on day 1 of employment * Paid parental leave * 401K eligibility * Tuition reimbursement * Employee Assistance Program eligibility / Health Advocate * Paid vacation and Paid holidays Vestcom is a standalone business unit of Avery Dennison, a Fortune 500 leader in materials science and packaging materials. Learn more at www.vestcom.com. Join Avery Dennison as a Machine Operator, where you will take ownership of advanced labeling technology to deliver high-quality products. We are looking for a mechanically inclined \"Technical Pilot\" who is accountable, curious about how equipment functions, and thrives in a performance-driven environment. What You’ll Do * Performance & Accuracy: Operate label machines efficiently to meet daily production deadlines while minimizing material waste. * Technical Ownership: Use your mechanical aptitude to monitor equipment, troubleshoot malfunctions, and identify root causes rather than \"band-aid\" fixes. * Data & Quality: Maintain accurate logs of raw materials using our ERP system and ensure a \"zero-defect\" mindset through close attention to detail. * Safety & Collaboration: Maintain a clean, safe work area and collaborate with the production team to ensure overall site health. Who You Are * Resilient & Adaptable: You maintain focus during high-pressure shifts and can pivot when production priorities change. * Detail-Oriented: You have a strong eye for quality and can monitor close tolerances to ensure every product meets specifications. * Team-First: You are willing to step outside your assigned duties to help a coworker for the good of the department. ## Qualifications Qualifications * High school diploma or GED. * 1–2 years of related manufacturing or machine operation experience. * Strong mechanical skills and the ability to analyze equipment performance. * Ability to lift up to 50 lbs and stand for the duration of a shift. * Color vision proficiency to distinguish product variations. Shift: D Shift, Wednesday 12AM - 6AM, Thurs-Sat 6PM-6AM ## Additional Information All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines. As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws. Reasonable Accommodations Notice If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or NA.TA.Operations@averydennison.com to discuss reasonable accommodations.", "summaryDescription" : "Label Machine Operator at Avery Dennison", "postedDate" : "2026-06-15T18:27:52.000", "createdAt" : "2026-06-16T01:41:47.538", "lastUpdated" : "2026-06-16T12:59:08.827", "ingestTimestamp" : "2026-06-16T01:41:47.538", "mongoId" : "6a3082bdf292fd229c06e960", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 38000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 529.4964, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f85f292fd229cee84b3", "title" : "Label Machine Operator", "company" : "Avery Dennison", "industry" : "Packaging And Containers", "salary" : { "min" : 38000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Label Machine Operator in Dallas, United States, with 1-2 years of experience, adjusted for industry and company size." }, "location" : "Dallas, TX, United States", "locations" : [ "Dallas", "TX", "United States" ], "timestamp" : "2026-06-16T07:36:38.609", "fingerprint" : "c7337cb6787a032e76552174ca4eac8fe056ae1053f0c94db6d60bd54158edd8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AveryDennison/744000132263519-label-machine-operator", "externalId" : "744000132263519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2025 were $8.9 billion. Learn more at[www.averydennison.com](http://www.averydennison.com). At Avery Dennison, some of the great benefits we provide are: * Health & Wellness benefits starting on day 1 of employment * Paid parental leave * 401K eligibility * Tuition reimbursement * Employee Assistance Program eligibility / Health Advocate * Paid vacation and Paid holidays Vestcom is a standalone business unit of Avery Dennison, a Fortune 500 leader in materials science and packaging materials. Learn more at www.vestcom.com. Join Avery Dennison as a Machine Operator, where you will take ownership of advanced labeling technology to deliver high-quality products. We are looking for a mechanically inclined \"Technical Pilot\" who is accountable, curious about how equipment functions, and thrives in a performance-driven environment. What You’ll Do * Performance & Accuracy: Operate label machines efficiently to meet daily production deadlines while minimizing material waste. * Technical Ownership: Use your mechanical aptitude to monitor equipment, troubleshoot malfunctions, and identify root causes rather than \"band-aid\" fixes. * Data & Quality: Maintain accurate logs of raw materials using our ERP system and ensure a \"zero-defect\" mindset through close attention to detail. * Safety & Collaboration: Maintain a clean, safe work area and collaborate with the production team to ensure overall site health. Who You Are * Resilient & Adaptable: You maintain focus during high-pressure shifts and can pivot when production priorities change. * Detail-Oriented: You have a strong eye for quality and can monitor close tolerances to ensure every product meets specifications. * Team-First: You are willing to step outside your assigned duties to help a coworker for the good of the department. ## Qualifications Qualifications * High school diploma or GED. * 1–2 years of related manufacturing or machine operation experience. * Strong mechanical skills and the ability to analyze equipment performance. * Ability to lift up to 50 lbs and stand for the duration of a shift. * Color vision proficiency to distinguish product variations. Shift: D Shift, Wednesday 12AM - 6AM, Thurs-Sat 6PM-6AM ## Additional Information All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines. As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws. Reasonable Accommodations Notice If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or NA.TA.Operations@averydennison.com to discuss reasonable accommodations.", "summaryDescription" : "Label Machine Operator at Avery Dennison", "postedDate" : "2026-06-15T18:27:52.000", "createdAt" : "2026-06-15T21:42:32.948", "lastUpdated" : "2026-06-16T07:36:38.609", "ingestTimestamp" : "2026-06-15T21:42:32.948", "mongoId" : "6a304f85f292fd229cee84b3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 38000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 529.4964, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a601f292fd229c12cef4", "title" : "Sewing Machine Maintenance & Repair Technician", "company" : "Pyrotek", "industry" : "Mining And Metals", "salary" : { "min" : 22.0, "max" : 25.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Spokane Valley, WA, United States", "locations" : [ "Spokane Valley", "WA", "United States" ], "timestamp" : "2026-06-16T11:59:58.708", "fingerprint" : "936a834a4821c43edda99b4dbc918964da4963ded1d73bb6937528b7ecb587de", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Pyrotek3/744000132277220-sewing-machine-maintenance-repair-technician", "externalId" : "744000132277220", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Spokane Valley", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6571104,-117.2613936" } ], "locationText" : "Spokane Valley, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceLevel" : "not-applicable", "technicalSkills" : "Industrial sewing equipment", "hardSkillsList" : [ "Sewing machine repair", "Preventative maintenance", "Troubleshooting techniques" ], "hardSkills" : [ { "name" : "Sewing machine repair", "level" : "intermediate" }, { "name" : "Preventative maintenance", "level" : "intermediate" }, { "name" : "Troubleshooting techniques", "level" : "intermediate" } ], "majorSkills" : "Sewing machine maintenance, Sewing machine repair", "majorSkillsList" : [ "Sewing machine maintenance", "Sewing machine repair" ], "coreResponsibilities" : "Support industrial sewing production, Prepare sewing machine setups, Perform preventative maintenance, Repair sewing machines, Perform emergency repairs, Interpret repair manuals, Communicate repair needs, Record service records, Educate team members, Maintain maintenance work area", "toolProficiency" : [ "Hand tools", "Repair equipment", "Microsoft Office" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Service records", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Lift up to 25 pounds frequently, Lift up to 75 pounds occasionally, Communicate in English, Close vision, Distance vision, Color vision, Depth perception", "outcomesObjectives" : "Minimize production disruptions", "qualificationsBasic" : "2 years sewing machine repair and maintenance experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who is Pyrotek? Pyrotek is the most successful global industrial company you’ve never heard of (until now). Pyrotek is a global leader in high temperature materials and our products impact virtually everyone in the developed world. Our global team has worked for decades to deliver new technologies, advanced engineered systems and innovative materials to customers in industries all over the world. The last car, train and plane you rode in were all safer and more energy efficient because of Pyrotek. The beverage cans in your refrigerator are lighter, stronger and infinitely recyclable because of Pyrotek. Join our team and create, improve and innovate the everyday! The Sewing Machine Maintenance & Repair Technician will perform sewing machine setup, troubleshooting, repairs, and preventative maintenance in an industrial setting. Monday - Thursday, 5:00 am - 3:30 pm Essential Functions/Responsibilities * Safely and effectively support industrial sewing production operations by: * Preparing and performing sewing machine setups for scheduled production runs. * Conducting scheduled preventative maintenance on sewing machines and related parts/equipment. * Performing repairs of sewing machines during machine servicing. * Thoroughly conducting troubleshooting techniques to identify equipment and operational issues, and providing emergency/unscheduled repairs of sewing machines to minimize production disruptions. * Read, interpret, and perform sewing machine maintenance and servicing per instruction and repair manuals. * Properly communicate, both verbally and in writing, business needs for repairs, maintenance, supplies, tools, and equipment. * Record and maintain accurate and detailed service records and documentation. * Proactively educate Team Members on proper machine usage and best practices. * Maintain a safe, organized, and clean maintenance work area, ensuring tools and materials are kept in good working order and available, as needed. ## Qualifications Education/Experience Minimum two (2) years of sewing machine repair and maintenance experience required. Knowledge/Skills/Abilities * Technical Skills. Ability to read and comprehend repair manuals and work standards. Working knowledge of industrial sewing equipment, maintenance processes, and troubleshooting techniques. Proficiency with hand tools and repair equipment. * Communication & Interpersonal Skills. Ability to communicate clearly and professionally both verbally and in writing. Strong listening skills and ability to work collaboratively with diverse team members at all organizational levels. Genuine integrity and sound judgment. * Business Skills. Strong attention to detail and critical thinking. Ability to prioritize urgent maintenance needs and maintain accurate service records. Proficient with Microsoft Office applications. Physical/Sensory Requirements Ability to sit, stand, bend, reach, and walk for extended periods. Capable of lifting and carrying up to 25 pounds frequently and 75 pounds occasionally. Must communicate effectively in English. Required vision abilities include close and distance vision, color vision, and depth perception. Working Environment Work in a manufacturing environment with exposure to loud noise, moving mechanical parts, and airborne particles. PPE required. ## Additional Information The minimum and maximum hourly range for this full-time position is $22.44 - $25.19 + benefits. Our salary ranges are determined by role, level and location. Within the range, individual pay is determined by work location and additional factors, including but not limited to job-related skills, experience, and relevant education and/or training. Please note that the compensation details listed in this posted role reflect the base salary only and do not include bonus or benefits. For a full summary of Pyrotek's benefit offerings, please click [HERE](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc5/5cb60802cff47e00073fc23c/e3281547-0ee2-4ca8-bc20-af152a17d80a?r=s3-eu-central-1). For a full position description, please click [HERE](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc5/5cb60802cff47e00073fc23c/d28d2727-c2fc-44e0-8684-1adbbc628cc4?r=s3-eu-central-1). $22.44 - $25.19 / hourly Pyrotek is an Equal Employment Opportunity Employer and does not discriminate on the basis of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. California residents please take a moment to review our [California Resident Applicant Data Collection Notice](https://www.pyrotek.com/assets/Documents-non-repository/CCPA-Notice-for-Applicants.pdf)", "summaryDescription" : "Sewing Machine Maintenance & Repair Technician at Pyrotek. Skills: Sewing machine maintenance, Sewing machine repair. Support industrial sewing production. Prepare sewing machine setups", "postedDate" : "2026-06-15T20:01:56.000", "createdAt" : "2026-06-16T03:35:17.805", "lastUpdated" : "2026-06-16T11:59:58.708", "ingestTimestamp" : "2026-06-16T03:35:17.805", "mongoId" : "6a30a601f292fd229c12cef4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45760, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Sewing machine repair", "Preventative maintenance", "Troubleshooting techniques", "Sewing machine maintenance", "Hand tools", "Repair equipment", "Microsoft Office" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 528.12915, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dbff292fd229cf69ecd", "title" : "Machine Learning Engineer", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Machine Learning Engineer in Bucharest, Romania, adjusted for the market research industry and company size." }, "location" : "Bucharest, B, RO", "locations" : [ "Bucharest", "B", "RO" ], "timestamp" : "2026-06-16T10:56:04.924", "fingerprint" : "8a1328fce8ba03a61c19caff9e653f8f08fbbcace1888f428045392c062edf5f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132169299-machine-learning-engineer", "externalId" : "744000132169299", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bucharest", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.4361414,26.1026840" } ], "locationText" : "Bucharest, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Deep Learning, Machine Learning, Large-scale data processing, Cloud platforms, Distributed systems, MLOps", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Statistical modeling", "Data analysis", "Algorithm development" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Deep Learning, MLOps", "majorSkillsList" : [ "Machine Learning", "Deep Learning", "MLOps" ], "coreResponsibilities" : "Design and implement ML models, Develop and maintain ML pipelines, Collaborate with engineering teams, Stay current with ML research, Contribute to system design, Optimize model performance, Deploy models to production", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Machine learning algorithms; Deep learning architectures; Data processing frameworks", "domainList" : [ "machine-learning-algorithms", "deep-learning-architectures", "data-processing-frameworks" ], "domainSpecificKnowledge" : [ "Machine learning algorithms", "Deep learning architectures", "Data processing frameworks" ], "toolProficiency" : [ "TensorFlow", "PyTorch", "Spark", "Hadoop" ], "communicationSkills" : "Technical presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "ML research", "innovationCreativity" : "Develop novel solutions", "problemSolvingSkills" : "Problem-solving; Analytical skills", "outcomesObjectives" : "Deliver high-quality ML solutions; Improve model accuracy; Enhance system efficiency", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in ML, Experience with Python, Experience with deep learning frameworks, Experience with large-scale data processing", "qualificationsPreferred" : "Master's degree or PhD, Experience with distributed systems, Experience with cloud platforms, Experience with MLOps", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. You will join international and collaborative team, with colleagues based across the US, Germany, Poland, and Italy. The team delivers innovative solutions in the field of market research, with a strong focus on brand management. Our team combines advanced statistical modeling with hands-on software development. We start by designing and validating Proof of Concepts (PoCs) that address real business challenges, and then transform these prototypes into robust, scalable products used globally. This means your work will not end at experimentation—you will be directly involved in delivering and maintaining production-grade solutions that create impact at scale. As a Machine Learning Engineer, your role bridges data science and software engineering. You will take ownership of turning PoC models into reliable, maintainable, and scalable systems. This includes designing production architectures, optimizing performance, ensuring code quality, and enabling seamless deployment across global environments. This is a role for someone who enjoys both experimentation and engineering—someone who wants to see their models evolve from initial ideas into fully operational products used worldwide. Responsibilities · Design, develop, test, deploy, maintain and enhance data science solutions using software engineering best practices · Study and convert data science prototypes to production quality DS/ML Solution · Implement machine learning solutions at a large scale, in on-premises or cloud-based environments · Create and improve methods and tools and contribute to best practices in the area of Data Science · Foster ML related knowledge exchange within NIQ, especially around code quality and engineering best practices related knowledge exchange within NIQ · Present NIQ’s MLE / DS expertise at conferences and workshops ## Qualifications · Master or Bachelor degree that reflects computer science / engineering and statistical / mathematical skills · Typically 2+ years of work experience · Solid experience with production-level code quality metrics and working closely with software and testing engineers · Expert skills in Python and the respective statistical ecosystem · Solid statistical skills: * either in survey statistics (sampling, non-response adjustments, Bayesian statistics), * or econometric modelling (program evaluation, forecasting, economic theory, panel data), * or observational causal inference (potential outcomes, structural equation models, instrumental variables) * or experimental design · Experience working with docker ## Additional Information Soft Skills · Ease of communication in an English-speaking business environment · Be well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment · Good attention to detail – ensure all outputs are delivered professionally and accurate · Mathematical thinking, strong analytical and problem-solving skills Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Machine Learning Engineer at NielsenIQ. Skills: Machine Learning, Deep Learning, MLOps. Design and implement ML models. Develop and maintain ML pipelines", "postedDate" : "2026-06-15T10:49:59.000", "createdAt" : "2026-06-16T00:11:23.299", "lastUpdated" : "2026-06-16T10:56:04.924", "ingestTimestamp" : "2026-06-16T00:11:23.299", "mongoId" : "6a305dbff292fd229cf69ecd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Data analysis", "Algorithm development", "Machine Learning", "Deep Learning", "MLOps", "System design", "Algorithm design", "Machine learning algorithms", "Deep learning architectures", "Data processing frameworks", "TensorFlow", "PyTorch", "Spark", "Hadoop" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 528.0608, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068adf292fd229cfc508d", "title" : "Machine Learning Engineer", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Machine Learning Engineer in Bucharest, Romania, adjusted for the market research industry and company size." }, "location" : "Bucharest, B, RO", "locations" : [ "Bucharest", "B", "RO" ], "timestamp" : "2026-06-16T11:24:35.433", "fingerprint" : "32dfba5a734b8a0164ab4ca436f73127d98bc24c0908664ad12317737dfb3f8e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132169299-machine-learning-engineer", "externalId" : "744000132169299", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bucharest", "country" : "Romania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.4361414,26.1026840" } ], "locationText" : "Bucharest, Romania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Deep Learning, Machine Learning, Large-scale data processing, Distributed computing, Cloud platforms, MLOps", "professionalSkills" : [ "System design", "Problem solving" ], "hardSkillsList" : [ "Statistical modeling", "Algorithm development" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Deep Learning, MLOps", "majorSkillsList" : [ "Machine Learning", "Deep Learning", "MLOps" ], "coreResponsibilities" : "Design and implement ML models, Develop and maintain ML pipelines, Collaborate with engineering teams, Stay current with ML research, Deploy models to production, Monitor model performance, Optimize ML systems", "teamCollaboration" : "Engineering teams; Research scientists", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Natural Language Processing; Computer Vision; Recommendation Systems", "domainList" : [ "natural-language-processing", "computer-vision", "recommendation-systems" ], "domainSpecificKnowledge" : [ "Natural Language Processing", "Computer Vision", "Recommendation Systems" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "Spark", "Kubernetes" ], "communicationSkills" : "Technical presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "ML research", "innovationCreativity" : "Develop novel algorithms", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Improve model accuracy; Enhance system efficiency; Deliver impactful ML solutions", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in ML, Experience with Python, Experience with deep learning frameworks, Experience with large-scale data processing", "qualificationsPreferred" : "Master's or PhD degree, Experience with distributed computing frameworks, Experience with cloud platforms, Experience with MLOps", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. You will join international and collaborative team, with colleagues based across the US, Germany, Poland, and Italy. The team delivers innovative solutions in the field of market research, with a strong focus on brand management. Our team combines advanced statistical modeling with hands-on software development. We start by designing and validating Proof of Concepts (PoCs) that address real business challenges, and then transform these prototypes into robust, scalable products used globally. This means your work will not end at experimentation—you will be directly involved in delivering and maintaining production-grade solutions that create impact at scale. As a Machine Learning Engineer, your role bridges data science and software engineering. You will take ownership of turning PoC models into reliable, maintainable, and scalable systems. This includes designing production architectures, optimizing performance, ensuring code quality, and enabling seamless deployment across global environments. This is a role for someone who enjoys both experimentation and engineering—someone who wants to see their models evolve from initial ideas into fully operational products used worldwide. Responsibilities · Design, develop, test, deploy, maintain and enhance data science solutions using software engineering best practices · Study and convert data science prototypes to production quality DS/ML Solution · Implement machine learning solutions at a large scale, in on-premises or cloud-based environments · Create and improve methods and tools and contribute to best practices in the area of Data Science · Foster ML related knowledge exchange within NIQ, especially around code quality and engineering best practices related knowledge exchange within NIQ · Present NIQ’s MLE / DS expertise at conferences and workshops ## Qualifications · Master or Bachelor degree that reflects computer science / engineering and statistical / mathematical skills · Typically 2+ years of work experience · Solid experience with production-level code quality metrics and working closely with software and testing engineers · Expert skills in Python and the respective statistical ecosystem · Solid statistical skills: * either in survey statistics (sampling, non-response adjustments, Bayesian statistics), * or econometric modelling (program evaluation, forecasting, economic theory, panel data), * or observational causal inference (potential outcomes, structural equation models, instrumental variables) * or experimental design · Experience working with docker ## Additional Information Soft Skills · Ease of communication in an English-speaking business environment · Be well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment · Good attention to detail – ensure all outputs are delivered professionally and accurate · Mathematical thinking, strong analytical and problem-solving skills Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Machine Learning Engineer at NielsenIQ. Skills: Machine Learning, Deep Learning, MLOps. Design and implement ML models. Develop and maintain ML pipelines", "postedDate" : "2026-06-15T10:49:59.000", "createdAt" : "2026-06-16T00:04:17.534", "lastUpdated" : "2026-06-16T11:24:35.433", "ingestTimestamp" : "2026-06-16T00:04:17.534", "mongoId" : "6a3068adf292fd229cfc508d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Algorithm development", "Machine Learning", "Deep Learning", "MLOps", "System design", "Problem solving", "Agile methodologies", "Natural Language Processing", "Computer Vision", "Recommendation Systems", "PyTorch", "TensorFlow", "Spark", "Kubernetes" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 528.0608, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306042f292fd229cf893ff", "title" : "Production Control", "company" : "Industrial Electric Manufacturing", "industry" : "Manufacturing", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Production Control roles in Jacksonville, United States, adjusted for the manufacturing industry and company size." }, "location" : "Jacksonville, Florida, United States", "locations" : [ "Jacksonville", "Florida", "United States" ], "timestamp" : "2026-06-16T09:32:53.192", "fingerprint" : "28b67aae99a0cd86498806d7f07b372916c788dcaa6c57ccf4387707ce39b077", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/industrialelectricmanufacturing/jobs/4286516009", "externalId" : "4286516009", "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", "minimumEducation" : "High School Diploma or GED", "technicalSkills" : "Microsoft Office, Excel, Teams, Outlook", "professionalSkills" : [ "Production planning", "Schedule coordination", "Risk mitigation", "Process improvement" ], "hardSkillsList" : [ "Production reporting", "Schedule adherence" ], "hardSkills" : [ { "name" : "Production reporting", "level" : "intermediate" }, { "name" : "Schedule adherence", "level" : "intermediate" } ], "majorSkills" : "Production control, Schedule management, Cross-departmental coordination", "majorSkillsList" : [ "Production control", "Schedule management", "Cross-departmental coordination" ], "coreResponsibilities" : "Monitor work-in-progress, Communicate schedule changes, Track production status, Report production status, Identify potential bottlenecks, Implement solutions, Support Production Planners, Support schedulers, Orchestrate communication with engineering, Orchestrate communication with procurement, Orchestrate communication with quality, Orchestrate communication with maintenance, Generate weekly production reports, Maintain weekly production reports, Document history, Support continuous improvement initiatives, Adhere to safety guidelines, Adhere to scheduling policies, Adhere to scheduling processes, Adhere to scheduling procedures, Perform additional duties", "teamCollaboration" : "Cross-departmental communication; Build rapport with team members; Build rapport with stakeholders; Build rapport with other departments", "domainKnowledge" : "Manufacturing environment; ERP System flows", "domainList" : [ "manufacturing-environment", "erp-system-flows" ], "domainSpecificKnowledge" : [ "Manufacturing environment", "ERP System flows" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft Teams", "Microsoft Outlook" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Document history", "problemSolvingSkills" : "Identify bottlenecks; Implement solutions", "outcomesObjectives" : "Meet delivery deadlines; Ensure optimal utilization; Ensure timely delivery", "qualificationsBasic" : "High School Diploma or GED, 1 year experience manufacturing environment, Working knowledge Microsoft Office, Understanding ERP System flows, Proficient verbal communication skills, Proficient written communication skills, Comfortable organizing discussions all levels, Organizational skills, Interpersonal skills", "qualificationsPreferred" : "Demonstrated career ambition, Track record of growth, Increasingly promotable", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At IEM, we’re not just building innovative electrical distribution systems, we’re shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what’s possible. Whether you’re an experienced professional or just starting out, you’ll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world’s most dynamic markets. IEM is currently seeking a Production Control ream member for our Jacksonville, FL team, and will report to the Production Planning Manager. The Production Control team member is primarily responsible for assisting the Production Department with all potential production constraints. You will be coordinating production activities to ensure optimal utilization and timely delivery of products. This role will mitigate current and future risks of anything that could negatively impact on time completion of finished goods. Please note: This position requires 100% in-office presence in our Jacksonville, FL and does not offer remote work. ESSENTIAL FUNCTIONS: Monitor work-in-progress (WIP) and communicate potential schedule changes as needed to accommodate production delays, disruptions, expedites, material shortages, customer cancellations, or recovery plans. Track and report production status as needed Identify potential bottlenecks and help to implement solutions to meet delivery deadlines when needed. Provide support to the Production Planners and schedulers. Orchestrate communication with engineering, procurement, quality, maintenance and any other department needs that will hinder production. Generate and maintain weekly production reports if required by the Manufacturing Supervisor or Planning Manager. Document history as needed. Support continuous improvement initiatives Adhere to established safety guidelines. Adheres to scheduling policies, processes and procedures. The candidate will be expected to perform additional duties as assigned to support the team and organization EDUCATION AND EXPERIENCE: High School Diploma or GED required. Prefer 1 year of experience in a manufacturing environment. Working knowledge of Microsoft Office products such as Excel, Teams and Outlook. Understanding of how an ERP System flows. Proficient verbal and written communication skills. Must be comfortable with organizing discussions across all levels of the organization. Organizational skills, including coordinating tasks, schedules, and resources to keep everything running smoothly. Interpersonal skills such as building rapport with team members, stakeholders, and other departments. Demonstrated career ambition with a track record of growth and increasing responsibility; highly promotable with the potential to take on broader leadership roles within a fast-paced, high-growth organization Compensation actually offered for this role will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Why Join IEM At IEM, you’ll join a team that powers some of the world’s most ambitious projects. We’re engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you’re driven, collaborative, and ready to make an impact, we’d love to hear from you. Your creativity and passion can help us achieve great things—come be part of the journey. Learn more about IEM at https://www.iemfg.com We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at https://www.iemfg.com/careers Recruiting Scams Beware of recruiting scams. IEM never charges candidates fees, and all recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not share personal information and report it to us at iemfg.com/contact Non-Discrimination Statement IEM does not discriminate against any applicant based on any characteristic protected by law. Privacy Information collected and processed as part of your IEM Careers profile, and any job applications you choose to submit is subject to IEM's Workforce Member Privacy Policy.", "summaryDescription" : "Production Control at Industrial Electric Manufacturing. Skills: Production control, Schedule management, Cross-departmental coordination. Monitor work-in-progress. Communicate schedule changes", "postedDate" : "2026-06-15T23:23:09.420", "createdAt" : "2026-06-15T23:23:09.420", "lastUpdated" : "2026-06-16T09:32:53.192", "ingestTimestamp" : "2026-06-15T23:23:09.420", "mongoId" : "6a306042f292fd229cf893ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Production reporting", "Schedule adherence", "Production control", "Schedule management", "Cross-departmental coordination", "Production planning", "Schedule coordination", "Risk mitigation", "Process improvement", "Manufacturing environment", "ERP System flows", "Microsoft Excel", "Microsoft Teams", "Microsoft Outlook" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 526.3506, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde3f62beec4dd3d9a0bcc", "title" : "Speech Language Pathologist - Elementary", "industry" : "Education", "salary" : { "min" : 700000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the entry-level Speech Language Pathologist role in India, adjusted for the education industry and general market trends for 2024-2025." }, "location" : "Gammon Elementary School", "locations" : [ "Gammon Elementary School", "3240 N. Rushwood", "67226" ], "certifications" : [ "Certificate of Clinical Competence (ASHA)" ], "timestamp" : "2026-06-16T05:22:52.061", "fingerprint" : "6d7478eeb87bc843e5c469f5542f77a4f3b6fee9763e82984f6a635c0967ee5c", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=96695", "externalId" : "96695", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "onsite" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "professionalSkills" : [ "Speech-language services", "Communication support", "Literacy support", "Behavior support" ], "hardSkillsList" : [ "Speech therapy", "Student assessment", "IEP development", "Medicaid logging" ], "hardSkills" : [ { "name" : "Speech therapy", "level" : "intermediate" }, { "name" : "Student assessment", "level" : "intermediate" }, { "name" : "IEP development", "level" : "intermediate" }, { "name" : "Medicaid logging", "level" : "intermediate" } ], "majorSkills" : "Speech-language pathology, Student services, MTSS support", "majorSkillsList" : [ "Speech-language pathology", "Student services", "MTSS support" ], "coreResponsibilities" : "Provide services to identified students, Consult with staff regarding student needs, Participate in MTSS building wide, Inform faculty of speech-language program, Organize and manage schedule, Follow state guidelines and district policies, Meet individual student needs, Develop therapy materials, Facilitate classroom communication, Maintain attendance log, File attendance log, Submit attendance log copy, Log Medicaid for each student, Keep Medicaid logging up to date, Participate in student evaluation, Maintain current Individualized Education Plans, Attend Child Study Team meetings, Serve as resource person, Serve on designated projects, Assist with additional duties", "teamCollaboration" : "Consult with staff; Work with diverse population; Interact with customers and vendors", "toolProficiency" : [ "Microsoft Word", "Microsoft Outlook" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Attendance logging; Medicaid logging; Individualized Education Plans", "problemSolvingSkills" : "Decision making", "specialRequirements" : "Limited travel between schools, Work outdoors during activities, Work in standard office environments, Work in school building environments", "qualificationsBasic" : "Master's Degree in Communication Sciences and Disorders, License in Speech-Language Pathology through Kansas Department for Aging and Disability Services", "qualificationsPreferred" : "New graduates accepted, Temporary license accepted, Clinical Fellowship Year supervision provided, Certificate of Clinical Competence through ASHA", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Speech Language Pathologist - Elementary Position Function: The Speech Language Pathologist is responsible to the Administrators of the buildings served and to the Coordinator of Speech-Language. The Speech-Language Pathologist provides services to identified speech-language impaired students, consults with staff regarding speech-language needs of students, and participates in MTSS building wide by providing communication, literacy, and behavior support. Essential Performance Responsibilities: Informs faculty members of the speech-language program. This includes providing information concerning method of referrals, intervention strategies, MTSS supports, testing procedures, and scheduling students for speech-language therapy Organizes and manages a schedule based upon the needs of each school and students, within the limits prescribed by Kansas State Department of Education and the Kansas Guidelines for Speech-Language Services Follows the appropriate state guidelines and district policies and procedures relating to speech-language services Meets the individual needs of students by developing materials for use in speech-language therapy, facilitation of classroom communication, and MTSS Maintains an accurate attendance log that reflects services provided during the year and files the original in the student official special education file then submits a copy of this log to the Speech-Language Coordinator upon checking out at the end of the school year Logs Medicaid for each student on the assigned caseload and keeps Medicaid logging up to date by the last working day of each month Participates in the comprehensive evaluation or reevaluation of students identified with a speech-language concern Maintains current Individualized Education Plans for students on the assigned Speech-Language caseload with appropriate goals and objectives that address individual student need Attends meetings of the Child Study Team when appropriate Serves as a resource person for school personnel, study groups, and community organizations Serves on projects as designated by the Coordinator Additional Duties: Assists with additional duties as assigned by supervisor. Equipment: The employee must demonstrate the ability to use basic office equipment such as computers, scanners, copiers, and fax machine. Must always comply with WPS guidelines for equipment use. Travel: Limited travel between schools and central offices may be required. Physical and Mental Demands: Work in standard office and school building environments Ability to work outdoors during outdoor student activities Knowledge, Skills, and Abilities: Ability to communicate both verbally and written in order to communicate with others inside and outside of the organization for the purpose of giving and obtaining information Basic computer proficiency and the ability to effectively use Microsoft Word and Outlook which will be determined and validated by testing Use of good judgment to make decisions on recurring assignments Ability to communicate effectively with a supervisor when their discretion is needed Displays a significant degree of professionalism and confidentiality Ability to conform to proper standards of professional dress and appearance Knowledge of company's mission, purpose, goals and the role of every employee in achieving each of them Interrelations: Contact with personnel within the district and with customers and vendors Will be working under the direct supervision of the department supervisor in order to complete day to day tasks Will be working with a diverse population requiring the ability to handle all situations with tact and diplomacy Must understand and respond appropriately to customer needs and maintain a positive attitude with all customers and colleagues Expected to interact with all internal and external customers in a friendly, professional manner and provide quick, responsive customer service Employee Punctuality and Appearance: In order for schools to operate effectively, employees are expected to perform all assigned duties and work all scheduled hours during each designated workday, unless the employee has received approved leave Any deviation from assigned hours must have prior approval from the employee's supervisor or building administrator All employees are required to report to work dressed in a manner that reflects a positive image of USD 259 and is appropriate for their position Qualification Profile: Master's Degree in Communication Sciences and Disorders meeting the qualifications to hold a license in Speech-Language Pathology through the Kansas Department for Aging and Disability Services preferred New graduates who qualify for a temporary license in Speech-Language Pathology and provide licensure and Clinical Fellowship Year supervision needed to obtain full licensure in the State of Kansas and the Certificate of Clinical Competence through ASHA accepted but subject to completion of program for renewal of contract beyond 1 year FLSA Status: Exempt", "summaryDescription" : "Speech Language Pathologist - Elementary. Skills: Speech-language pathology, Student services, MTSS support. Provide services to identified students. Consult with staff regarding student needs", "createdAt" : "2026-06-14T19:16:42.112", "lastUpdated" : "2026-06-16T05:22:52.061", "ingestTimestamp" : "2026-06-14T19:16:42.112", "mongoId" : "69dde3f62beec4dd3d9a0bcc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Speech therapy", "Student assessment", "IEP development", "Medicaid logging", "Speech-language pathology", "Student services", "MTSS support", "Speech-language services", "Communication support", "Literacy support", "Behavior support", "Certificate of Clinical Competence (ASHA)", "Microsoft Word", "Microsoft Outlook" ], "skillCount" : 14, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 521.2599, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6d2874d8ee00a091d946", "title" : "Speech Language Pathologist - PRN", "company" : "VitalCaring Group", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Speech Language Pathologist in Fort Myers, FL, adjusted for the healthcare industry and VitalCaring Group's typical compensation range." }, "location" : "Fort Myers, Florida, United States", "locations" : [ "Fort Myers", "Florida", "United States" ], "timestamp" : "2026-06-16T03:54:47.889", "fingerprint" : "079ed6820a745246080198db2e877600488f09284650551308975288c557107f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vitalcaringgroup/jobs/4120896009", "externalId" : "4120896009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Myers", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "26.6406280,-81.8723084" } ], "locationText" : "Fort Myers, Florida, United States", "minimumEducation" : "Master's", "experienceMinYears" : 1, "rawDescription" : "Join VitalCaring – Where Your Passion Changes Lives! Speech Language Pathologist (SLP) – Home Health At VitalCaring, we don’t just provide care - we help patients reconnect, communicate, and live more independently in the place they call home. As a Speech Language Pathologist (SLP), you play a critical role in restoring communication, cognition, and swallowing function—helping patients regain confidence and improve quality of life after illness or injury. This is a role for an SLP who thrives in a field-based, one-on-one care environment, values autonomy, and is passionate about delivering meaningful, measurable outcomes. Why Choose VitalCaring? Make a Meaningful Impact Deliver personalized care that directly improves communication, safety, and independence. Autonomy with Support Manage your day independently with strong clinical leadership and collaborative support behind you. Patient-Centered Care Focus on one-on-one treatment in the home—where progress is most meaningful. Growth & Development Be part of a team that invests in your clinical development and long-term success. What You’ll Do As a Home Health SLP, you’ll lead the evaluation and treatment of patients with speech, language, cognitive, and swallowing disorders: Conduct comprehensive evaluations of speech, language, cognitive, and swallowing function Develop and implement individualized plans of care to improve communication, cognition, and safety Provide therapeutic interventions using evidence-based techniques and specialized tools Assess the home environment and recommend adaptive equipment or communication aids Educate patients and caregivers on exercises, compensatory strategies, and safety techniques Monitor patient progress, reassess as needed, and adjust treatment plans accordingly Identify changes in condition and communicate proactively with physicians and the care team Document all care accurately and timely within the EMR Collaborate with nurses, therapists, and interdisciplinary teams to ensure coordinated care Participate in case conferences, discharge planning, and ongoing care coordination What We’re Looking For Master’s or Doctoral degree in Speech-Language Pathology Current SLP license in the state of practice Minimum of 1 year clinical experience (home health preferred) Certificate of Clinical Competence (CCC-SLP) preferred Strong clinical judgment and ability to work independently Excellent communication and patient education skills Comfortable in a field-based role with travel between patient homes Current CPR certification Valid driver’s license, reliable transportation, and auto insurance What Sets You Apart Experience in home health or community-based care Confidence managing swallowing (dysphagia) and cognitive-communication disorders Ability to adapt treatment plans to real-life home environments Strong collaboration across interdisciplinary teams A balance of clinical expertise, compassion, and accountability Benefits Health & Wellness Medical, Dental, and Vision coverage Pharmacy benefits Virtual care and mental health support Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Supplemental health and life insurance Financial & Protection 401(k) with company match Employee referral program Prepaid legal services Identity theft protection Work-Life Balance & Perks Generous paid time off Pet insurance Tuition and continuing education reimbursement At VitalCaring, our values - trustworthy, capable, compassionate, proactive, and called - guide every interaction. Apply today and help patients find their voice, regain independence, and live more fully at home. All employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. Candidates are evaluated based on job-related qualifications, skills, and business needs. #TalrooClinical", "summaryDescription" : "Speech Language Pathologist - PRN at VitalCaring Group", "postedDate" : "2026-06-14T19:17:13.352", "createdAt" : "2026-06-14T19:17:13.352", "lastUpdated" : "2026-06-16T03:54:47.889", "ingestTimestamp" : "2026-06-14T19:17:13.352", "mongoId" : "6a2c6d2874d8ee00a091d946", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 521.12006, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69164db570f0b99d586f383e", "title" : "Sr. Research Engineer, Machine Learning, AGI Foundations", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Artificial Intelligence", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:19:31.997", "fingerprint" : "2044f1bc4ac428e6eeaae28e7e3da1d551eb17a5d3c21ef3ea334decbca98643", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3121517/apply", "externalId" : "f06b6410-8a72-4593-94eb-3ce82d9495af", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine Learning, Large Language Models, Generative AI, CUDA, NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT", "professionalSkills" : [ "System architecture", "Applied science", "Engineering practices" ], "hardSkillsList" : [ "Algorithm development", "Modeling techniques", "Distributed systems", "Large-scale systems", "Distributed training", "Parallelism techniques", "Low-level optimization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Modeling techniques", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Large-scale systems", "level" : "intermediate" }, { "name" : "Distributed training", "level" : "intermediate" }, { "name" : "Parallelism techniques", "level" : "intermediate" }, { "name" : "Low-level optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning, Large Language Models, Generative AI, Distributed Systems", "majorSkillsList" : [ "Machine Learning", "Large Language Models", "Generative AI", "Distributed Systems" ], "coreResponsibilities" : "Lead development of LLMs, Develop novel algorithms, Develop modeling techniques, Advance state of the art, Accelerate development with LLMs, Scale pre-training workflows, Scale post-training workflows, Build efficient models, Drive system architecture, Spearhead best practices, Enable quality infrastructure, Deliver new features, Deliver new products, Train multimodal LLMs, Scale model training, Optimize training workflows, Optimize training stack, Investigate design approaches, Prototype new technology, Evaluate technical feasibility, Deliver results independently, Embrace scientific advances, Adapt scientific advances", "teamCollaboration" : "Work with team members; Agile environment", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Multimodal models; Foundational Models; Large Language Models; Generative AI; Distributed systems; Computer Science fundamentals", "domainList" : [ "multimodal-models", "foundational-models", "large-language-models", "generative-ai", "distributed-systems", "computer-science-fundamentals" ], "domainSpecificKnowledge" : [ "Multimodal models", "Foundational Models", "Large Language Models", "Generative AI", "Distributed systems", "Computer Science fundamentals" ], "toolProficiency" : [ "AWS", "AWS Trainium" ], "communicationSkills" : "Business communication; Technical communication", "innovationCreativity" : "Inventive; Novel algorithms; Prototype new technology", "problemSolvingSkills" : "Technical feasibility evaluation", "outcomesObjectives" : "Deliver high quality products; Deliver high quality services", "qualificationsBasic" : "5+ years software development, 5+ years programming, 5+ years system design, 2+ years machine learning", "qualificationsPreferred" : "5+ years full SDLC, Master's degree ML, Hands-on Foundational Models training, Low-level ML optimization, CUDA kernels experience, Network I/O experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer with a strong hands-on machine learning background, to lead the development of industry-leading multimodal large-language foundational models (LLMs). As a Senior RE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. Key job responsibilities - Responsible for pre and post-training multimodal LLMs. - Scale training of models on hyper large GPU and AWS Trainium clusters - Optimize training workflows using distributed training/parallelism techniques - Optimize low-level details of the training stack, including CUDA kernels, communication collectives, network I/O. - Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc) - Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility - Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - 2+ years of practical machine learning experience Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in machine learning or equivalent - Hands-on experience and expertise in training Foundational Models/LLMs, and/or low-level optimization of ML training workflows, CUDA kernels, network I/O. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Research Engineer, Machine Learning, AGI Foundations at Amazon.com Services LLC. Skills: Machine Learning, Large Language Models, Generative AI, Distributed Systems. Lead development of LLMs. Develop novel algorithms", "postedDate" : "2026-06-12T23:58:31.709", "createdAt" : "2026-06-12T23:58:31.709", "lastUpdated" : "2026-06-15T01:19:31.997", "ingestTimestamp" : "2026-06-12T23:58:31.709", "mongoId" : "69164db570f0b99d586f383e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3121517/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm development", "Modeling techniques", "Distributed systems", "Large-scale systems", "Distributed training", "Parallelism techniques", "Low-level optimization", "Leadership", "Mentoring", "Machine Learning", "Large Language Models", "Generative AI", "Distributed Systems", "System architecture", "Applied science", "Engineering practices", "Agile", "Multimodal models", "Foundational Models", "Computer Science fundamentals", "AWS", "AWS Trainium" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 519.8465, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a0de91358b93c861eb990a5", "title" : "Pool Speech Language Pathologist", "industry" : "Healthcare", "salary" : { "min" : 62500.0, "max" : 81500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Junior Speech Language Pathologist in Brooksville, United States, with adjustments for industry and experience." }, "location" : "United States-Florida-Brooksville", "locations" : [ "United States-Florida-Brooksville", "
TGH Brooksville (TGHBRKSV)
17240 Cortez Boulevard

Brooksville, 34601

" ], "certifications" : [ "Speech-Language Pathologist License", "Basic Life Support (BLS)", "Certificate of Clinical Competency (CCC)" ], "timestamp" : "2026-06-16T00:11:10.194", "fingerprint" : "c62e55a4f8355671ae93e80494dcdef2ec1d05a8940e455be61c37868d313f5b", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675472", "externalId" : "675472", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooksville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.5552719,-82.3878709" } ], "locationText" : "Brooksville, Florida, United States", "minimumEducation" : "Master's Degree", "experienceMinYears" : 1, "professionalSkills" : [ "Speech therapy", "Patient education" ], "hardSkillsList" : [ "Speech evaluation", "Language evaluation", "Swallowing evaluation", "Communication disorders", "Therapy administration", "Treatment planning", "Patient assessment", "Documentation" ], "hardSkills" : [ { "name" : "Speech evaluation", "level" : "intermediate" }, { "name" : "Language evaluation", "level" : "intermediate" }, { "name" : "Swallowing evaluation", "level" : "intermediate" }, { "name" : "Communication disorders", "level" : "intermediate" }, { "name" : "Therapy administration", "level" : "intermediate" }, { "name" : "Treatment planning", "level" : "intermediate" }, { "name" : "Patient assessment", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" } ], "majorSkills" : "Speech therapy, Patient assessment, Treatment planning", "majorSkillsList" : [ "Speech therapy", "Patient assessment", "Treatment planning" ], "coreResponsibilities" : "Diagnose speech disorders, Diagnose language disorders, Diagnose swallowing disorders, Diagnose communication disorders, Provide Speech Therapy Evaluations, Provide treatments, Complete MBS with radiology, Educate patients, Educate families, Educate co-workers, Educate physicians, Perform detailed assessments, Gather patient information, Gather patient history, Create tailored therapy plans, Define short-term goals, Define long-term goals, Administer therapies, Administer exercises, Administer techniques, Re-assess patient progress, Adjust treatment strategies, Adjust treatment goals, Operate treatment equipment, Maintain documentation, Coordinate patient schedules, Document incidents, Document accidents, Document concerns, File incident reports, Notify appropriate parties", "teamCollaboration" : "Coordinate with physicians", "domainKnowledge" : "Speech pathology; Communication disorders; Swallowing disorders", "domainList" : [ "speech-pathology", "communication-disorders", "swallowing-disorders" ], "domainSpecificKnowledge" : [ "Speech pathology", "Communication disorders", "Swallowing disorders" ], "communicationSkills" : "Patient education; Family education; Physician education", "documentationSkills" : "Clinical documentation; Patient charting", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Master's Degree, Speech-Language Pathologist License, Basic Life Support (BLS), 1 year experience clinical setting, Certificate of Clinical Competency (CCC)", "qualificationsPreferred" : "CCC pending professional experience, CCC equivalent within one year", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Speech Pathologist diagnosis speech, language, swallowing, and communication disorders. Provides Speech Therapy Evaluations and treatments as documented in the plan of care. Works with radiology completing MBS. Provides education to patients, their families, co-workers, and physicians. Essential Functions Perform detailed assessments to evaluate speech, language, communication, and swallowing disorders, gathering relevant patient information and history to inform treatment planning. Create tailored therapy plans based on the assessment results, clearly defining short- and longterm goals, and applying evidence-based strategies to promote patient progress. Appropriately administer therapies, exercises, and techniques that address the patient’s specific needs, ensuring the treatment process is safe, effective, and in line with the established plan of care. Regularly re-assess patients' progress and adjust treatment strategies or goals as necessary, ensuring continuous improvement and response to therapy. Ensure safe and competent operation of all equipment necessary for treatment, including any specialized tools, devices, or technologies used in speech therapy sessions. Show proficiency in the basic operation of all speech therapy equipment and follow facility protocols to ensure equipment is used correctly and safely. Maintain precise and complete documentation of all therapy sessions, including services rendered, progress made, and any adjustments to the treatment plan, to ensure proper billing and compliance with healthcare regulations. Coordinate patient schedules for therapy sessions, ensuring timely and efficient treatment delivery while managing any cancellations, rescheduling, or follow-up needs. Verbalize and accurately document any incidents, accidents, or concerns that arise during therapy sessions, following proper procedures to file incident reports and notify appropriate parties. Education Master's Degree Speech and Language Pathology License Speech-Language Pathologist Certification Basic Life Support (BLS) from American Heart Association or American Red Cross Work Experience and Additional Information One (1) year experience in a clinical setting. Certificate of Clinical Competency (CCC) Speech Pathology from the American Speech-Language and Hearing Association or eligibility for certification pending professional experience or equivalent within one year Brooksville", "summaryDescription" : "Pool Speech Language Pathologist. Skills: Speech therapy, Patient assessment, Treatment planning. Diagnose speech disorders. Diagnose language disorders", "createdAt" : "2026-06-14T20:48:22.635", "lastUpdated" : "2026-06-16T00:11:10.194", "ingestTimestamp" : "2026-06-14T20:48:22.635", "mongoId" : "6a0de91358b93c861eb990a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62500, "salaryAnnualMax" : 81500, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Speech evaluation", "Language evaluation", "Swallowing evaluation", "Communication disorders", "Therapy administration", "Treatment planning", "Patient assessment", "Documentation", "Speech therapy", "Patient education", "Speech pathology", "Swallowing disorders", "Speech-Language Pathologist License", "Basic Life Support (BLS)", "Certificate of Clinical Competency (CCC)" ], "skillCount" : 15, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Junior", "dataQualityScore" : 0.5555556, "_score" : 517.2817, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69d5e4962beec4dd3d93196e", "title" : "AI Language Engineer", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, Language Engineer, Retail", "salary" : { "min" : 82700.0, "max" : 144800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:02:34.431", "fingerprint" : "0e4a9b9315db04dbbda2277338d64a8e976a24d628e9e6b4f26dd63691aba581", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384302/apply", "externalId" : "7e20c4a6-0c8a-487e-bfa1-5a41336929d9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "LLMs, NLP, Python", "professionalSkills" : [ "Language understanding", "Automated AI evaluations", "Editorial data production", "Data annotation", "Data processing", "Data analysis" ], "hardSkillsList" : [ "Linguistics", "Coding", "Semantics", "Syntax", "Pragmatics" ], "hardSkills" : [ { "name" : "Linguistics", "level" : "intermediate" }, { "name" : "Coding", "level" : "intermediate" }, { "name" : "Semantics", "level" : "intermediate" }, { "name" : "Syntax", "level" : "intermediate" }, { "name" : "Pragmatics", "level" : "intermediate" } ], "majorSkills" : "LLMs, NLP, Language Engineering", "majorSkillsList" : [ "LLMs", "NLP", "Language Engineering" ], "coreResponsibilities" : "Produce, process and manipulate language data, Analyze language data, Provide efficient solutions, Automate operations, Perform data analysis, Develop LLM-assisted workflows, Develop annotations solutions, Support Human-in-the-loop evaluations, Design editorial data production, Design data collection, Define scope with internal customer teams, Define clear editorial workflows, Meet or exceed quality bar, Adopt control mechanisms, Design control mechanisms, Design metrics, Design methodologies, Maximize productivity, Maximize process efficiency, Maximize quality, Streamline workflows, Standardize processes, Conduct audits, Conduct investigations, Collaborate with editors, Collaborate with applied scientists, Collaborate with engineers, Collaborate with product managers, Deliver optimal customer experience, Define metrics for customer experience, Define guidelines for customer experience, Define workflows for customer experience, Establish processes for onboarding editors, Establish mechanisms for onboarding editors, Train editors on ongoing basis, Handle work prioritization, Deliver based on business priorities, Be flexible in changes to conventions, Change workflows accordingly", "teamCollaboration" : "Cross-functional teams; Global product teams; Global design teams; Global science teams; Global engineering teams", "domainKnowledge" : "Large Language Models; Natural language processing; Language understanding; Automated AI evaluations; Conversational AI; Generative AI", "domainList" : [ "large-language-models", "natural-language-processing", "language-understanding", "automated-ai-evaluations", "conversational-ai", "generative-ai" ], "domainSpecificKnowledge" : [ "Large Language Models", "Natural language processing", "Language understanding", "Automated AI evaluations", "Conversational AI", "Generative AI" ], "communicationSkills" : "Technical writing; Interfacing between teams", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Solve complex problems", "outcomesObjectives" : "Improve Shopping AI experience; Achieve desired Amazon customer outcomes", "qualificationsBasic" : "Master's degree or above in Computational Linguistics, Experience owning and executing language data collection projects, guidelines, labelset and annotation workflow development", "qualificationsPreferred" : "2+ years of computational linguistics experience, 2+ years language data processing experience, 2+ years semantics experience, 2+ years philosophy of language experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Conversational Shopping team is looking for a Language Engineer to drive efficiencies and innovation in its efforts to deliver a seamless, fluent, and engaging experience for AI-assisted shopping. This is an opportunity to join the high-performing team behind Amazon’s Generative AI shopping initiatives such as Rufus AI, Amazon’s Conversational Shopping assistant. Our objective is to make it easy for customers worldwide to find and discover the best products, meet their personalized needs with product research, providing comparisons and recommendations, answering specific product questions, and more. This role is inherently high-visibility and highly cross-functional, requiring collaboration and influence across global product, design, science, and engineering teams. We are looking for candidates who are passionate about the intersection of language and technology and who are keen to use their technical abilities to develop automated, scalable solutions to questions in the Large Language Model (LLM) space. Applying a combination of expertise in LLMs, coding and linguistics (i.e., semantics, syntax, pragmatics), they will overcome complex problems in natural language processing (NLP), language understanding and automated AI evaluations. In this role within the Editorial team, they will act as one of the driving forces behind our evaluation-driven product development strategy. They will design processes to facilitate the production of high quality editorial data which will allow us to evaluate and improve the Shopping AI experience in different languages. To do so, they will be tasked with the creation and development of LLM-assisted editorial tools, automated verification scripts and automated annotations (e.g. LLM-as-a-judge) to support the humans-in-the-loop (HITL) work of the broader Editorial team. They will lead and drive the requirements behind data annotation tasks and tooling, writing intuitive annotation guidelines and guiding the creation of the tools adapted to these workflows. They will employ their data processing and analysis skills to track team productivity and measure output quality. They will work in close collaboration with other Language Engineers, AI Editors, Product Managers, Applied Scientists and Software Engineers on initiatives that drive editorial quality, speed and consistency. By creating and synthesizing quality metrics, they will also guide Conversational Shopping teams in delivering both internal stakeholder requirements and achieve the desired Amazon customer outcomes. This role requires strong analytical and technical skills as well as experience in language technology to help us measure, analyze and solve complex problems. They should have experience in creating technical solutions for automating and processing data workflows at scale and have the ability to do so while upholding the highest linguistic quality standards. They should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams. Key job responsibilities * Produce, process and manipulate different types of language data, analyze, and provide efficient solutions * Automate operations and perform data analysis using coding/scripting language (e.g. Python) * Develop LLM-assisted workflows and annotations solutions (e.g. LLM-as-a-judge) to support Human-in-the-loop evaluations * Design and lead editorial data production/collection by defining scope with internal customer teams * Define clear editorial workflows (SOPs) to meet or exceed the quality bar * Adopt and design control mechanisms, metrics and methodologies for editorial and annotation quality * Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis. * Collaborate with editors, applied scientists, engineers, and product managers to deliver the optimal customer experience and define metrics, guidelines, and workflows to continue doing so * Establish processes and mechanisms to onboard and train editors on an ongoing basis. * Handle work prioritization and deliver based on business priorities. * Be flexible in changes to conventions deployed in response to customers’ requests and change workflows accordingly. Basic Qualifications: - Master's degree or above in Computational Linguistics - Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development Preferred Qualifications: - 2+ years of computational linguistics, language data processing, semantics, philosophy of language experience 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, NY, New York - 82,700.00 - 144,800.00 USD annually", "summaryDescription" : "AI Language Engineer at Amazon.com Services LLC. Skills: LLMs, NLP, Language Engineering. Produce, process and manipulate language data. Analyze language data", "postedDate" : "2026-06-13T01:16:04.353", "createdAt" : "2026-06-13T01:16:04.353", "lastUpdated" : "2026-06-15T00:02:34.431", "ingestTimestamp" : "2026-06-13T01:16:04.353", "mongoId" : "69d5e4962beec4dd3d93196e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384302/apply", "salaryAnnualMin" : 82700, "salaryAnnualMax" : 144800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Linguistics", "Coding", "Semantics", "Syntax", "Pragmatics", "LLMs", "NLP", "Language Engineering", "Language understanding", "Automated AI evaluations", "Editorial data production", "Data annotation", "Data processing", "Data analysis", "Large Language Models", "Natural language processing", "Conversational AI", "Generative AI" ], "skillCount" : 18, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 515.1348, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "_score" : 513.8802, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a6674d8ee00a090bae1", "title" : "Machine Operator", "company" : "Green Thumb", "industry" : "Manufacturing", "salary" : { "min" : 20.0, "max" : 24.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Centreville, Maryland, United States", "locations" : [ "Centreville", "Maryland", "United States" ], "timestamp" : "2026-06-15T08:15:06.160", "fingerprint" : "461268d13f5edaa03cb8932c1215210c698f95333eecea5e7ebc4a4a9bc7e15a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/greenthumbindustries/jobs/7996603", "externalId" : "7996603", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Centreville", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.0420588,-76.0674344" } ], "locationText" : "Centreville, Maryland, United States", "minimumEducation" : "Associate's", "softSkillsList" : [ "Teamwork", "Time-management", "Ability to multi-task", "Customer service", "Organization skills" ], "softSkills" : [ { "name" : "Teamwork" }, { "name" : "Time-management" }, { "name" : "Ability to multi-task" }, { "name" : "Customer service" }, { "name" : "Organization skills" } ], "majorSkills" : "Machine operation, Product quality, Equipment maintenance", "majorSkillsList" : [ "Machine operation", "Product quality", "Equipment maintenance" ], "domainKnowledge" : "Cannabis products; Good Manufacturing Practices (GMP)", "domainList" : [ "cannabis-products", "good-manufacturing-practices-gmp" ], "domainSpecificKnowledge" : [ "Cannabis products", "Good Manufacturing Practices (GMP)" ], "specialRequirements" : "Lift up to 50 lbs, Work in fast-paced environment, Work in changing environment, Work in challenging environment, Work at heights, Daily exposure to allergens", "outcomesObjectives" : "Increase operational efficiency; Reduce waste; Meet productivity standards; Consistently increase productivity", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Role As a Machine Operator, you will be responsible for setting up, safely operating, and ensuring basic maintenance of a variety of pieces of automated and semi-automated machinery to make high quality cannabis products. The Machine Operator is also responsible for ensuring that all products meet our standards (including product formulas, visual appearance, packaging, etc.), inspecting and ensuring equipment is ready to run, adjusting equipment to run at optimal speed while ensuring safety and quality. Responsibilities Safety: Follow all department specific safety practices including the use of PPE Responsible for maintaining the organization and cleanliness of the designated work area, including supporting all 5S requirements Remain compliant with all safety training requirements Promptly report safety concerns, including near miss situations Production: Perform equipment inspections, calibrations, line centering, etc. to ensure the successful operation of equipment. Responsible for increasing operational efficiency and reducing waste through ownership, teamwork, communication, and collaboration. Work in a fast-paced environment and meet productivity standards Follow SOP’s and work instructions to complete the tasks according to company standards Work in a quick and efficient manner and strives to consistently increase productivity Responsible for regular maintenance and cleaning of all equipment. Participate in trial runs, new product development projects and training of other employees. Work in a team environment and be part of building a positive environment Quality associates degree or certifications preferred Effective time-management skills and ability to multi-task Ability to work well with others while also completing individually assigned tasks Ability to stand, sit, kneel, and lift equipment or plants up to 50 lbs. for extended periods Ability to work in a fast-paced, changing and challenging environment Must be able to comply with Good Manufacturing Practices (GMP) requirements Must be able to work at heights Prior experience running automated equipment Basic math and mechanical skills Curiosity to understand how the equipment works to support troubleshooting or process improvements Effectively follow state and company compliance requirements Excellent customer service, time management and organization skills Prior cannabis experience not required Additional Requirements Must pass any and all required background checks Must be and remain compliant with all legal or company regulations for working in the industry Must be a minimum of 21 years of age Must be approved by state badging agency to work in cannabis industry Working Conditions While performing the duties of this job, the employee is regularly required to perform reaching, grasping, bending, stooping, talking, hearing, seeing and repetitive motions. Must be able to sit and/or stand for extended periods of time while maintaining focus. Must be able to lift, carry, and balance up to 50 pounds AND must be able to do so with extreme care and caution when working with product. Work involves daily exposure to allergens (such as cannabis, tree nuts, and coconut oil). The pay range is competitive and based on experience, qualifications, and/or location of the role. Positions may be eligible for a discretionary annual incentive program driven by organization and individual performance. Green Thumb Pay Range $20—$24 USD", "summaryDescription" : "Machine Operator at Green Thumb. Skills: Machine operation, Product quality, Equipment maintenance", "postedDate" : "2026-06-13T21:23:20.994", "createdAt" : "2026-06-13T21:23:20.994", "lastUpdated" : "2026-06-15T08:15:06.160", "ingestTimestamp" : "2026-06-13T21:23:20.994", "mongoId" : "6a2c6a6674d8ee00a090bae1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 24, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Teamwork", "Time-management", "Ability to multi-task", "Customer service", "Organization skills", "Machine operation", "Product quality", "Equipment maintenance", "Cannabis products", "Good Manufacturing Practices (GMP)" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 512.3719, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a869bc74574cbbb4fe3", "title" : "AI Language Engineer", "company" : "Amazon Development Centre (London) Limited", "industry" : "Editorial, Writing, Content Management, Language Engineer, Retail", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Language Engineer in London, UK, adjusted for mid-seniority level at a large technology company." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-14T23:53:56.717", "fingerprint" : "67610d7c1398b783542d13f80c5b54129b0cd1f2f6f1ada066823baa247cb2b0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199693/apply", "externalId" : "f26a641c-44e3-403b-a39f-a3c43788897a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Large Language Models, NLP, Machine Learning, Python, pandas, scikit-learn, Unix, AI coding assistants, API calls, Retrieval Augmented Generation, RAG, AWS, Bedrock, S3, EC2", "professionalSkills" : [ "Data analysis", "System prompts", "Editorial quality", "Annotation quality", "Quality metrics", "Stakeholder requirements", "Customer outcomes", "Data workflows", "Linguistic quality", "User experience", "Quantitative analysis", "Data pipelines" ], "hardSkillsList" : [ "LLM evaluation", "Automation", "Context engineering", "Multilingual systems", "Data processing", "Data analysis", "Model performance", "Annotation quality", "Quality metrics", "Quantitative analysis", "Data pipelines" ], "softSkillsList" : [ "Analytical skills", "Technical abilities" ], "hardSkills" : [ { "name" : "LLM evaluation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Context engineering", "level" : "intermediate" }, { "name" : "Multilingual systems", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model performance", "level" : "intermediate" }, { "name" : "Annotation quality", "level" : "intermediate" }, { "name" : "Quality metrics", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Technical abilities" } ], "majorSkills" : "Large Language Models, NLP, Linguistics, Python", "majorSkillsList" : [ "Large Language Models", "NLP", "Linguistics", "Python" ], "coreResponsibilities" : "Develop LLM-as-a-judge systems, Automate operations, Perform data analysis, Author system prompts, Optimize system prompts, Manage system prompts, Integrate API calls, Evaluate model performance, Evaluate annotation quality, Produce reports for stakeholders, Process language data, Manipulate language data, Define platform requirements, Develop prototypes, Raise quality bar, Standardize editorial workflows, Document editorial workflows, Audit editorial workflows, Investigate editorial workflows, Support onboarding Editors, Support upskilling Editors, Support onboarding AI Tutors, Support upskilling AI Tutors, Define project scope, Design control mechanisms, Implement control mechanisms, Refine control mechanisms, Ensure editorial quality, Ensure annotation quality, Define metrics, Define guidelines, Define workflows, Deliver optimal customer experience", "teamCollaboration" : "Cross-functional teams; Global product teams; Global design teams; Global science teams; Global engineering teams; International Editorial team; Language Editors; Product Managers; Applied Scientists; Software Engineers; Conversational Shopping teams", "domainKnowledge" : "Conversational AI; Generative AI; Large Language Models; Multilingual agentic systems; Retrieval Augmented Generation; Online retail; E-commerce", "domainList" : [ "conversational-ai", "generative-ai", "large-language-models", "multilingual-agentic-systems", "retrieval-augmented-generation", "online-retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Conversational AI", "Generative AI", "Large Language Models", "Multilingual agentic systems", "Retrieval Augmented Generation", "Online retail", "E-commerce" ], "toolProficiency" : [ "Unix terminal", "Command line tools", "AI coding assistants", "SQL", "Git", "AWS services" ], "communicationSkills" : "Exceptional writing skills; Interface technical teams; Interface non-technical teams", "documentationSkills" : "Documentation", "innovationCreativity" : "Innovation in AI-assisted shopping; Develop automated solutions; Develop LLM-assisted tools; Develop prototypes", "problemSolvingSkills" : "Solve complex problems; Measure problems; Analyze problems", "outcomesObjectives" : "Deliver seamless experience; Deliver fluent experience; Deliver multilingual experience; Find best products; Discover best products; Provide comparisons; Provide recommendations; Answer product questions; Drive editorial quality; Drive editorial speed; Drive editorial consistency; Produce high-quality data; Improve AI Shopping experience; Support HITL work; Support stakeholders; Deliver internal requirements; Deliver desired customer outcomes", "qualificationsBasic" : "Bachelor's or Master's Degree, Experience with Large Language Models, Experience with NLP, Experience with Machine Learning, Experience with Python libraries, Experience with pandas, Experience with scikit-learn, Ability to navigate Unix terminal, Use common command line tools, Familiarity with AI coding assistants, Excellent communication skills, Excellent organizational skills, Keen eye for details, Comfortable in fast-paced environment, Comfortable in cross-functional environment, Comfortable in dynamic work environment, Willingness to support several projects, Accept reprioritization as necessary", "qualificationsPreferred" : "PhD in related technical field, Fluency in a second language, Experience with SQL, Experience with Git, Experience building RAG systems, Experience building agentic systems, Experience conducting quantitative analysis, Experience building data pipelines, Experience with AWS services, Knowledge of user experience concepts, Knowledge of user experience methods, Familiarity with online retail", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Conversational Shopping team is looking for a Language Engineer to contribute to efficiencies and innovation in its efforts to deliver a seamless, fluent, and multilingual experience for AI-assisted shopping. This is an opportunity to join the high-performing team behind Amazon's Generative AI shopping initiatives such as Amazon's AI Shopping assistant. Our objective is to make it easy for customers worldwide to find and discover the best products by providing comparisons, recommendations, and answers to specific product questions. This role is cross-functional, requiring collaboration across global product, design, science, and engineering teams. We are looking for candidates who are passionate about the intersection of language and technology and who are keen to use their technical abilities to develop automated, scalable solutions to challenges in the Large Language Model (LLM) space. Applying a combination of expertise in LLMs, coding, and linguistics (i.e., semantics, syntax, pragmatics), they will overcome complex problems in model evaluation, automation, and context engineering for multilingual agentic systems. In this role within the International Editorial team, the candidate will contribute to our evaluation-driven product development strategy, working in close collaboration with Language Editors, Product Managers, Applied Scientists, and Software Engineers on initiatives that drive editorial quality, speed, and consistency. They will design processes to facilitate the production of high-quality editorial data for evaluating and improving the AI Shopping experience in different languages. The candidate will also create and develop LLM-assisted editorial tools and automated annotations (e.g., LLM-as-a-judge) to support the humans-in-the-loop (HITL) work of the broader Editorial team. Additionally, they will define requirements for internal tooling by developing prototypes. They will be responsible for authoring, optimizing, and managing system prompts for multilingual, customer-facing LLM systems. Drawing on data processing and analysis skills, they will evaluate and report on model performance and annotation quality, producing regular reports for stakeholders. By creating and synthesizing quality metrics, they will also support Conversational Shopping teams in delivering both internal stakeholder requirements and the desired Amazon customer outcomes. This role requires strong analytical and technical skills as well as experience in language technology to help us measure, analyze, and solve complex problems. The ideal candidate should have experience in creating technical solutions for automating and processing data workflows at scale while upholding the highest linguistic quality standards. They should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams. Key job responsibilities - Develop LLM-as-a-judge systems to support Human-in-the-loop evaluations - Automate operations and perform data analysis using scripting languages (e.g. Python) - Author, optimize, and manage system prompts for multi-lingual, customer-facing LLM systems - Integrate API calls into Retrieval Augmented Generation (RAG) systems - Evaluate model performance and annotation quality to produce reports for stakeholders - Produce, process, and manipulate different types of language data - Contribute to defining platform requirements for internal tooling by developing prototypes - Raise the quality bar on editorial workflows and SOPs through standardization, documentation, and periodic audits and investigations - Support processes and mechanisms to onboard and upskill Editors and AI Tutors on an ongoing basis - Support editorial data production and collection by defining project scope with internal teams - Design, implement, and refine control mechanisms, metrics, and methodologies to ensure editorial and annotation quality - Collaborate with editors, applied scientists, engineers, and product managers to deliver an optimal customer experience by defining metrics, guidelines, and workflows - Deliver across parallel workstreams, balancing timelines, impact, and stakeholder requirements Basic Qualifications: - Bachelor's or Master's Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related field. - Experience with Large Language Models, NLP, or Machine Learning. - Experience with Python libraries for data analysis such as pandas and scikit-learn. - Ability to navigate a Unix terminal and use common command line tools. - Familiarity with AI coding assistants. - Excellent communication and strong organizational skills with a keen eye for details. - Comfortable working in a fast-paced, cross-functional, and dynamic work environment. - Willingness to support several projects at one time and to accept reprioritization as necessary. Preferred Qualifications: - PhD in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related technical field. - This position will work in English. Fluency in a second language preferred but not required: Portuguese or Turkish (most favourable), French, German, Italian, Spanish, or Japanese. - Experience with SQL and Git. - Experience building RAG or agentic systems. - Experience conducting quantitative analysis. - Experience building data pipelines. - Experience with AWS services (Bedrock, S3, EC2, etc.). - Knowledge of user experience concepts and methods. - Familiarity with online retail (e-commerce). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "AI Language Engineer at Amazon Development Centre (London) Limited. Skills: Large Language Models, NLP, Linguistics, Python. Develop LLM-as-a-judge systems. Automate operations", "postedDate" : "2026-06-13T03:57:09.001", "createdAt" : "2026-06-13T03:57:09.001", "lastUpdated" : "2026-06-14T23:53:56.717", "ingestTimestamp" : "2026-06-13T03:57:09.001", "mongoId" : "69c94a869bc74574cbbb4fe3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199693/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "LLM evaluation", "Automation", "Context engineering", "Multilingual systems", "Data processing", "Data analysis", "Model performance", "Annotation quality", "Quality metrics", "Quantitative analysis", "Data pipelines", "Analytical skills", "Technical abilities", "Large Language Models", "NLP", "Linguistics", "Python", "System prompts", "Editorial quality", "Stakeholder requirements", "Customer outcomes", "Data workflows", "Linguistic quality", "User experience", "Conversational AI", "Generative AI", "Multilingual agentic systems", "Retrieval Augmented Generation", "Online retail", "E-commerce", "Unix terminal", "Command line tools", "AI coding assistants", "SQL", "Git", "AWS services" ], "skillCount" : 36, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 511.92633, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c953374d8ee00a098c901", "title" : "Speech-Language Pathologist (SLP)", "company" : "Ally Behavior Centers", "industry" : "Healthcare", "salary" : { "min" : 80000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Fairfax, Virginia, USA", "locations" : [ "Fairfax", "Virginia", "USA" ], "certifications" : [ "Speech Therapy licensure", "Certification of Clinical Competence", "Basic Life Support (BLS) certification" ], "timestamp" : "2026-06-15T08:45:46.125", "fingerprint" : "388bf5aa98dffa9ddf4c7225549081132c4f93df64c1b939c920dd4a5e515d40", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/allybehaviorcenters/jobs/4115177009", "externalId" : "4115177009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fairfax", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8462236,-77.3063733" } ], "locationText" : "Fairfax, Virginia, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Case management", "Parent training" ], "hardSkillsList" : [ "Speech Therapy" ], "hardSkills" : [ { "name" : "Speech Therapy", "level" : "intermediate" } ], "majorSkills" : "Speech Therapy, Early intervention, Autism therapy", "majorSkillsList" : [ "Speech Therapy", "Early intervention", "Autism therapy" ], "coreResponsibilities" : "Carry client caseload, Complete parent training, Meet billable hour expectations, Collaborate with therapists, Collaborate with BCBAs, Coordinate therapy of shared clients, Attend team meetings, Maintain client confidentiality, Maintain open communication with families, Change diapers, Assist with toileting, Work on the floor with children", "teamCollaboration" : "Interdisciplinary teams; Collaborate with clinicians; Team settings", "domainKnowledge" : "Applied Behavior Analysis; Autism Spectrum Disorder; HIPAA protocol", "domainList" : [ "applied-behavior-analysis", "autism-spectrum-disorder", "hipaa-protocol" ], "domainSpecificKnowledge" : [ "Applied Behavior Analysis", "Autism Spectrum Disorder", "HIPAA protocol" ], "communicationSkills" : "Effective communication skills", "continuousLearning" : "Professional development; In-house CEU's; CEU assistance; Tuition assistance", "problemSolvingSkills" : "Creative solutions to problems; Quickly adapt", "specialRequirements" : "Physically work on the floor, Sit on the floor, Kneel, Crawl, Squat, Run, Stand for extended periods, Reach and hold objects, Lift 30 pounds", "outcomesObjectives" : "Help learners reach potential; Improve social skills; Prepare for academic success; Deliver highest quality therapy; Maximize learner potential", "qualificationsBasic" : "Masters Degree required, Current Speech Therapy licensure, Meet ASHA certification requirements, Current Basic Life Support (BLS) certification, Experience with early intervention, Experience with children with autism, Ability to be on-site, Reliable transportation, Valid driver's license, Submit to background check", "qualificationsPreferred" : "Knowledge of SLP principles", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ally Behavior is a full-time, center-based, early intervention Applied Behavior Analysis (ABA) therapy program, serving children with autism ranging from 18 months to 6 years of age. Our mission is to deliver the highest quality therapy to help our early learners reach their potential to communicate, improve social skills, and prepare for academic success. The children we serve are at the heart of everything we do and we are passionate about our commitment to having a meaningful impact in the lives of our children and their families. What Makes Us Unique: Full-time center-based work with a compensation potential of up to $100,000+ Monthly billable hour bonus eligibility In-house CEU's and professional development opportunities Loan forgiveness and tuition assistance up to $21,000 Guaranteed semi-monthly paycheck, regardless of client cancellations Interdisciplinary teams with Occupational Therapists & Board Certified Behavior Analysts Annual CEU Stipend of $1,000 Job Summary: To facilitate collaboration of care and superior treatment outcomes for our young learners, we currently have an opening for a Speech-Language Pathologist (SLP). Our center-based program delivers intensive early intervention for young children with autism. Each child receives 1-on-1 ABA therapy delivered by a technician and overseen by a Board Certified Behavior Analyst (BCBA) through the day. Most of our learners require Speech Therapy in addition to ABA and Occupational Therapy. We are looking for an energetic, motivated individual to provide high quality Speech Therapy, collaborate with our clinicians on case management, and help our learners maximize their potential. Ally Behavior is a dynamic, fun, and rewarding place to work that offers superior growth and leadership opportunities in a supportive, engaging environment. We have a unique and collaborative culture that is driven by our diverse team of professionals and our core values of Serving Others, Treatment Excellence, All One Ally, Resourceful in Finding Solutions, and Striving to Grow. Our comprehensive onboarding and training approach will support and prepare you to provide the best possible therapy to our clients! Your Day-to-Day Responsibilities: Carry a client caseload of up to 23 clients Complete parent training with each client on their caseload once per quarter Complete a parent training following an evaluation or reevaluation within one month. Meet the billable hour expectations of 40 thirty-minute sessions (20 billable hours) per week Collaborate with Occupational Therapists and Board Certified Behavior Analysts to coordinate the therapy of shared clients Attend team meetings as scheduled Maintain strict client confidentiality following HIPAA protocol Maintain open communication with families and clinical teams to ensure the most effective treatment and goals Due to the nature of working with young children, all clinical staff are required to change diapers, assist with toileting, and be able to physically work on the floor with children Experiential & Certification Requirements: Masters Degree required from a program in Speech Language Pathology which is accredited by the Education Standards Board or whose practice meets ASHA certification requirements Current and active Speech Therapy licensure in the state(s) of hire Meet the education and experience requirements for Certification of Clinical Competence in Speech Language Pathology or Audiology granted by ASHA Current Basic Life Support (BLS) certification Experience with early intervention and working with children with autism Ability to be on-site from 8:30am-5:30pm Monday through Friday required Reliable transportation and a valid driver's license Must submit to a federal, state, and county background check Physical Requirements: Ability to sit on the floor, kneel, crawl, squat, run or stand for extended periods of time Ability to reach and hold objects Ability to lift 30 pounds What You Will Bring: Enthusiasm to make a difference working with young children and their families Ability to maintain a caseload with a weekly billable hour requirement Exceptional ability in building trusting relationships and maintaining confidentiality Commitment to learn and pursue professional development Strong knowledge of SLP principles Strong leadership qualities Demonstration of professionalism and adherence to Ally policy to team members Effective communication skills Multi-tasking & time management Creative solutions to problems with the ability to quickly adapt Patience and calm demeanor in stressful situations Strong performance in team settings & collaboration with others What We Offer When Joining Our Team: Salaried, full-time position Monthly bonus eligibility (on top of base salary) Guaranteed semi-monthly paycheck (24) Company-sponsored DashPass 18 days of paid time off 9 paid holidays (5 set days + 4 \"floating\" holidays) CEU assistance and professional development opportunities Medical +HSA, Dental, and Vision coverage through Cigna Up to $9,000 in post-maternity childcare assistance 401(k) plan with company match. Employee Assistance Program Short Term Disability, Term-Life/AD&D Insurance, Critical Illness with Cancer Insurance, Accident Insurance, Hospital Confinement Insurance, and Pet Insurance Tuition Assistance eligibility at 6-month benchmark Pay Range $80,000—$100,000 USD Note: This position is NOT eligible for Visa sponsorship. Ally Behavior is an equal opportunity employer. In compliance with Federal and State Equal Opportunity Laws, qualified applicants are considered for all positions applied for without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, veteran status or any other legally protected status. Your personal information will be used for recruitment purposes only and handled in accordance with applicable privacy laws.", "summaryDescription" : "Speech-Language Pathologist (SLP) at Ally Behavior Centers. Skills: Speech Therapy, Early intervention, Autism therapy. Carry client caseload. Complete parent training", "postedDate" : "2026-06-14T09:38:38.645", "createdAt" : "2026-06-14T09:38:38.645", "lastUpdated" : "2026-06-15T08:45:46.125", "ingestTimestamp" : "2026-06-14T09:38:38.645", "mongoId" : "6a2c953374d8ee00a098c901", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Speech Therapy", "Early intervention", "Autism therapy", "Case management", "Parent training", "Applied Behavior Analysis", "Autism Spectrum Disorder", "HIPAA protocol", "Speech Therapy licensure", "Certification of Clinical Competence", "Basic Life Support (BLS) certification" ], "skillCount" : 11, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 511.3239, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 16912, "totalPages" : 339, "hasNext" : true, "hasPrevious" : false } }

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