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By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, the Deployment Strategist role centers around leveraging data in operational and real-world action. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. ## No two days are the same, but as a Deployment Strategist you can expect to Go onsite and meet with customer analysts to understand the critical questions they need to answer and locate their biggest pain points. Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline. Work with the customer to build bespoke workflows for new user groups. Lead training sessions to ensure that the product is meeting user needs, and to ensure it is being used widely enough to have concrete impact on our partners' operations. Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives. Embed with our Software Engineering and Product Design teams to incorporate what you saw in the field into cross-Palantir product offerings. Build and deliver demos to new and existing customers. Scope out potential engagements in new industries and in increasingly expanding locations around the world. ## What We Value We value team members who aren’t satisfied with surface-level answers. We value the desire to dive into the details of the data because that’s the core of our work. And we value low ego because the outcome matters more than who gets the credit. Extraordinary ability to take on open-ended problems in unstructured environments. Adaptive and introspective; willing to learn, teach, lead and follow. Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL) is a plus. ## What We Require Active Full Scope Poly Level clearance. Ability to travel 25 – 75% required. Varies by location and team. ## Additional Information Salary The estimated salary range for this position is estimated to be $110,000 - $170,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance • Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance • Commuter benefits • Relocation assistance • Take what you need paid time off, not accrual based • 2 weeks paid time off built into the end of each year (subject to team and business needs) • 10 paid holidays throughout the calendar year • Supportive leave of absence program including time off for military service and medical events • Paid leave for new parents and subsidized back-up care for all parents • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation • Stipend to help with expenses that come with a new child • Employees can enroll in Palantir’s 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3). 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visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" }, { "name" : "Intellectual humility" } ], "majorSkills" : "Organizational science, Behavioral research, People analytics, Quantitative research", "majorSkillsList" : [ "Organizational science", "Behavioral research", "People analytics", "Quantitative research" ], "coreResponsibilities" : "Design systematic research studies, Execute systematic research studies, Answer questions about employee experience, Answer questions about manager effectiveness, Answer questions about organizational health, Generate hypotheses about people programs, Generate hypotheses about employee behavior, Generate hypotheses about workforce outcomes, Test hypotheses about people programs, Test hypotheses about employee behavior, Test hypotheses about workforce outcomes, Conduct longitudinal studies, Track employee cohorts, Understand workforce trends, Understand impact of people initiatives, Perform meta-analyses of people interventions, Identify best practices, Identify knowledge gaps, Navigate research ethics, Ensure responsible research practices, Design employee listening programs, Analyze employee listening programs, Iterate on employee listening programs, Design engagement surveys, Design pulse surveys, Design lifecycle surveys, Apply psychometric methods, Validate survey instruments, Ensure measurement reliability, Translate survey findings, Drive organizational change, Conduct research on manager behaviors, Conduct research on manager competencies, Study impact on team outcomes, Build measurement frameworks, Evaluate manager effectiveness programs, Improve manager effectiveness programs, Study organizational dynamics, Study team composition, Study collaboration patterns, Study relationship to performance, Build compelling visualizations, Build dashboards, Make research findings accessible, Present research findings to senior leadership, Provide clear recommendations, Provide actionable recommendations, Develop self-service analytics capabilities, Empower People team partners", "teamCollaboration" : "Collaborate with data engineers; Empower People team partners", "domainKnowledge" : "Organizational science; Behavioral science; People strategy; Workforce dynamics; Employee experience; Manager effectiveness; Organizational health; People programs; Employee behavior; Workforce outcomes; People initiatives; Employee listening; Engagement surveys; Pulse surveys; Lifecycle surveys; Survey instruments; Manager behaviors; Team outcomes; Team composition; Collaboration patterns; Performance outcomes; People analytics; Employee lifecycle metrics; People KPIs; AI/ML organizations", "domainList" : [ "organizational-science", "behavioral-science", "people-strategy", "workforce-dynamics", "employee-experience", "manager-effectiveness", "organizational-health", "people-programs", "employee-behavior", "workforce-outcomes", "people-initiatives", "employee-listening", "engagement-surveys", "pulse-surveys", "lifecycle-surveys", "survey-instruments", "manager-behaviors", "team-outcomes", "team-composition", "collaboration-patterns", "performance-outcomes", "people-analytics", "employee-lifecycle-metrics", "people-kpis", "ai-ml-organizations" ], "domainSpecificKnowledge" : [ "Organizational science", "Behavioral science", "People strategy", "Workforce dynamics", "Employee experience", "Manager effectiveness", "Organizational health", "People programs", "Employee behavior", "Workforce outcomes", "People initiatives", "Employee listening", "Engagement surveys", "Pulse surveys", "Lifecycle surveys", "Survey instruments", "Manager behaviors", "Team outcomes", "Team composition", "Collaboration patterns", "Performance outcomes", "People analytics", "Employee lifecycle metrics", "People KPIs", "AI/ML organizations" ], "toolProficiency" : [ "Qualtrics", "Workday", "BigQuery" ], "communicationSkills" : "Tell compelling stories; Executive presentations", "problemSolvingSkills" : "Analytical rigor; Iterative discovery", "outcomesObjectives" : "Drive evidence-based people decisions; Advance understanding of employee experience; Advance understanding of manager effectiveness; Advance understanding of organizational health; Advance understanding of workforce dynamics; Drive meaningful organizational change", "qualificationsBasic" : "Advanced degree (Master's or PhD), I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or related field, Experience with experimental design, Experience with hypothesis testing, Experience with longitudinal research methods, Experience with causal inference, Proficient in SQL, Proficient in Python/R, Experience with statistical analysis, Experience with machine learning, Experience with survey design, Experience with psychometric methods, Experience with employee listening programs, Experience with data visualization, Excellent communication skills, Ability to influence stakeholders, Thrive in ambiguity, Balance rigor with pragmatism, Challenge assumptions with data, Change long-held practices, Navigate sensitive topics diplomatically, Maintain analytical rigor, Demonstrate intellectual humility, Comfort with iterative discovery, Use data to improve people development", "qualificationsPreferred" : "5+ years of experience in research, 5+ years of experience in people analytics, 5+ years of experience in related quantitative fields, Demonstrated research methodology expertise, Background in people analytics, Experience designing employee engagement surveys, Experience analyzing employee engagement surveys, Experience designing pulse surveys, Experience analyzing pulse surveys, Deep knowledge of manager effectiveness research, Deep knowledge of organizational science, Experience building self-service analytics tools, Experience building dashboards, Understanding of employee lifecycle metrics, Understanding of people KPIs, Experience in high-growth technology companies, Experience in AI/ML organizations, Familiarity with network analysis, Familiarity with NLP, Familiarity with advanced statistical methods, Experience with BigQuery, Experience with modern data stack tools, Experience with Qualtrics, Experience with Workday", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We are seeking a People Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our broader People organization, using rigorous scientific methods to advance our understanding of the employee experience, manager effectiveness, organizational health, and workforce dynamics. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our people practices and the broader field of people science at a leading AI safety company. Responsibilities: Research Design & Scientific Inquiry Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives Perform meta-analyses of people interventions across the industry to identify best practices and knowledge gaps Navigate research ethics considerations when studying employee data, ensuring responsible research practices Employee listening & survey research Design, analyze, and iterate on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys Apply psychometric methods to validate survey instruments and ensure measurement reliability Translate survey findings into strategic recommendations that drive meaningful organizational change Manager research & organizational effectiveness Conduct research on manager behaviors, competencies, and their impact on team outcomes Build measurement frameworks to evaluate and improve manager effectiveness programs Study organizational dynamics including team composition, collaboration patterns, and their relationship to performance outcomes Visualization & communication Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences Present research findings to senior leadership with clear, actionable recommendations Develop self-service analytics capabilities that empower People team partners Minimum Qualifications: Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field Have experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference Are comfortable working in the People Analytics tech stack and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience with survey design, psychometric methods, and employee listening programs Have experience with data visualization and can tell compelling stories with research findings Possess excellent communication skills and can influence stakeholders at all levels Thrive in ambiguity and can balance rigor with pragmatism Have a track record of challenging assumptions with data and changing long-held practices Can navigate sensitive topics diplomatically while maintaining analytical rigor Demonstrate intellectual humility and comfort with iterative discovery Use data to improve how organizations develop and support their people Preferred Qualifications: 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise Background in people analytics specifically (not just general analytics) Experience designing and analyzing employee engagement or pulse surveys Deep knowledge of manager effectiveness research and organizational science Experience building self-service analytics tools or dashboards Understanding of employee lifecycle metrics and people KPIs Previous experience in high-growth technology companies or AI/ML organizations Familiarity with network analysis, NLP, or advanced statistical methods Experience with BigQuery and modern data stack tools Experience with Qualtrics Experience with Workday The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000—$370,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "People Research Scientist at Anthropic. Skills: Organizational science, Behavioral research, People analytics, Quantitative research. Design systematic research studies. Execute systematic research studies", "postedDate" : "2026-06-16T01:17:39.803", "createdAt" : "2026-06-16T01:17:39.803", "lastUpdated" : "2026-06-16T09:58:55.998", "ingestTimestamp" : "2026-06-16T01:17:39.803", "mongoId" : "6a307a81f292fd229c03ce21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Experimental design", "Quasi-experimental methods", "Statistical analysis", "Machine learning", "Survey design", "Psychometric methods", "Data visualization", "Communication skills", "Intellectual humility", "Organizational science", "Behavioral research", "People analytics", "Quantitative research", "Research design", "Scientific inquiry", "Hypothesis testing", "Longitudinal research", "Causal inference", "Meta-analyses", "Measurement reliability", "Manager effectiveness", "Organizational dynamics", "Performance outcomes", "Data storytelling", "Behavioral science", "People strategy", "Workforce dynamics", "Employee experience", "Organizational health", "People programs", "Employee behavior", "Workforce outcomes", "People initiatives", "Employee listening", "Engagement surveys", "Pulse surveys", "Lifecycle surveys", "Survey instruments", "Manager behaviors", "Team outcomes", "Team composition", "Collaboration patterns", "Employee lifecycle metrics", "People KPIs", "AI/ML organizations", "Qualtrics", "Workday", "BigQuery" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a81f292fd229c03ce22", "title" : "People Research Scientist", "company" : "Anthropic", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior People Research Scientist in San Francisco, adjusted for the technology industry and a large company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T14:08:14.048", "fingerprint" : "5b265f3fe76245eb0577944f275598fdf0e9ff28c1aa54bd992936d7e522ba69", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/anthropic/jobs/5257763008", "externalId" : "5257763008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "technicalSkills" : "SQL, Python, R, Machine learning", "professionalSkills" : [ "Scientific inquiry", "Selection research", "Assessment validation", "Psychometrics", "Recruiting funnel analytics", "Mixed-method research", "Metrics design", "Analytical solution building", "Data visualization", "Research ethics" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Experimental methods", "Quasi-experimental methods", "Psychometric techniques", "Metrics framework design", "Data governance", "Scenario planning", "Strategic planning" ], "softSkillsList" : [ "Intellectual humility" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Experimental methods", "level" : "intermediate" }, { "name" : "Quasi-experimental methods", "level" : "intermediate" }, { "name" : "Psychometric techniques", "level" : "intermediate" }, { "name" : "Metrics framework design", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Scenario planning", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual humility" } ], "majorSkills" : "Recruiting analytics, People analytics, Organizational science, Behavioral research", "majorSkillsList" : [ "Recruiting analytics", "People analytics", "Organizational science", "Behavioral research" ], "coreResponsibilities" : "Design research studies, Execute research studies, Answer questions about recruiting funnel health, Answer questions about assessment quality, Answer questions about candidate experience, Answer questions about quality of hire, Generate hypotheses about sourcing strategies, Test hypotheses about sourcing strategies, Generate hypotheses about interview design, Test hypotheses about interview design, Generate hypotheses about selection decisions, Test hypotheses about selection decisions, Conduct mixed-method research, Understand drivers of recruiting operations, Understand blockers of recruiting operations, Navigate research ethics, Design validation studies, Execute validation studies, Assess quality of interviews, Assess quality of selection tools, Utilize psychometric techniques, Analyze interviewer calibration, Improve interviewer calibration, Analyze rating consistency, Improve rating consistency, Lead investigative research, Design metrics framework, Define canonical KPIs, Define dimensions for KPIs, Define definitions for KPIs, Establish governance for metrics, Establish definitional rigor for metrics, Architect analytical solutions, Convert research insights into products, Empower stakeholders, Quantify adoption of deployed tools, Quantify downstream impact of deployed tools, Drive iterative improvements, Build compelling visualizations, Build dashboards, Make research findings accessible, Present research findings to senior leadership, Provide actionable recommendations", "teamCollaboration" : "Collaborating with data engineers; Collaborating with stakeholders; Present research findings", "domainKnowledge" : "Organizational science; Behavioral research; People strategy; Recruiting funnels; Interview effectiveness; Candidate experience; Recruiting capacity; Quality of hire; Sourcing strategies; Interview design; Selection decisions; Recruiting operations; Candidate data; Selection tools; Interviewer calibration; Rating consistency; Candidate assessment; Funnel performance; Hiring quality; People Analytics; AI safety", "domainList" : [ "organizational-science", "behavioral-research", "people-strategy", "recruiting-funnels", "interview-effectiveness", "candidate-experience", "recruiting-capacity", "quality-of-hire", "sourcing-strategies", "interview-design", "selection-decisions", "recruiting-operations", "candidate-data", "selection-tools", "interviewer-calibration", "rating-consistency", "candidate-assessment", "funnel-performance", "hiring-quality", "people-analytics", "ai-safety" ], "domainSpecificKnowledge" : [ "Organizational science", "Behavioral research", "People strategy", "Recruiting funnels", "Interview effectiveness", "Candidate experience", "Recruiting capacity", "Quality of hire", "Sourcing strategies", "Interview design", "Selection decisions", "Recruiting operations", "Candidate data", "Selection tools", "Interviewer calibration", "Rating consistency", "Candidate assessment", "Funnel performance", "Hiring quality", "People Analytics", "AI safety" ], "toolProficiency" : [ "Greenhouse", "Gem", "ModernLoop" ], "communicationSkills" : "Tell compelling stories; Clear recommendations", "problemSolvingSkills" : "Challenge assumptions with data; Balance rigor with pragmatism", "outcomesObjectives" : "Advance understanding of recruiting funnels; Advance understanding of interview effectiveness; Advance understanding of candidate experience; Advance understanding of recruiting capacity; Drive evidence-based people decisions; Improve interviewer calibration; Improve rating consistency; Drive iterative improvements", "qualificationsBasic" : "Advanced degree (Master's or PhD), Experience with selection research, Experience with assessment validation, Experience with psychometrics, Experience with recruiting funnel analytics, Comfortable working in People Analytics tech stack, Proficient in SQL, Proficient in Python/R, Experience in statistical analysis, Experience in machine learning, Experience with data visualization, Excellent communication skills, Ability to influence stakeholders, Thrive in ambiguity, Balance rigor with pragmatism, Challenge assumptions with data, Change long-held practices, Navigate sensitive topics diplomatically, Maintain analytical rigor, Demonstrate intellectual humility, Comfort with iterative discovery, Use data to improve hiring", "qualificationsPreferred" : "5+ years of experience, Background in recruiting analytics, Experience running interview validation studies, Experience running assessment validation studies, Experience building self-service analytics tools, Experience building dashboards, Previous experience in high-growth tech companies, Previous experience in AI/ML organizations, Familiarity with network analysis, Familiarity with machine learning, Familiarity with advanced statistical methods, Experience with BigQuery, Experience with modern data stack tools", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company. Responsibilities Research design & scientific inquiry Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations. Navigate research ethics considerations when studying candidate data, ensuring responsible research practices Selection & assessment research Design and execute validation studies to assess the quality of interviews and other selection tools Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency Lead investigative research into innovative approaches for candidate assessment Metrics design and governance Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces Analytical solution building Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning Quantify the adoption and downstream impact of deployed tools, driving iterative improvements Visualization & communication Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences Present research findings to senior leadership with clear, actionable recommendations Minimum Qualifications: Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics Are comfortable working in the People Analytics tech stack and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience with data visualization and can tell compelling stories with research findings Possess excellent communication skills and can influence stakeholders at all levels Thrive in ambiguity and can balance rigor with pragmatism Have a track record of challenging assumptions with data and changing long-held practices Can navigate sensitive topics diplomatically while maintaining analytical rigor Demonstrate intellectual humility and comfort with iterative discovery Use data to improve how organizations find, assess, and hire talent Preferred Qualifications: 5 + years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise Background in recruiting analytics specifically (not just general analytics) Experience running interview or assessment validation studies Experience building self-service analytics tools or dashboards Previous experience in high-growth technology companies or AI/ML organizations Familiarity with network analysis, machine learning, or advanced statistical methods Experience with BigQuery and modern data stack tools Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000—$370,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "summaryDescription" : "People Research Scientist at Anthropic. Skills: Recruiting analytics, People analytics, Organizational science, Behavioral research. Design research studies. 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You will enable customers to meet their workflow automation goals thereby making an oversized impact on customer and Unchained Labs success. This is your rare opportunity play a huge role in accelerating customer development in high throughput. Responsibilities Lead installation, integration testing, site acceptance testing, and customer training of custom lab automation systems Expertly communicate with customers throughout complex system commissioning and support cases Work hand-in-hand with customers and internal teams to ramp-up customer applications on newly installed integrated automation systems. Be a go-to expert on automation software, customer protocols, and system level troubleshooting Provide on-site and remote support, solving tough problems for customers working in a wide range of scientific fields Be a customer advocate – provide customer feedback and field perspective to make us better Timely documentation of issues and solutions using Salesforce CRM Travel to customer sites within the US and Canada and occasionally internationally (travel ~50%) Qualifications Deep commitment to customer success Bachelor’s degree in a STEM field; graduate level preferred Proven hands-on applications, service, or technical support experience for complex lab automation equipment; familiarity with Junior or Big Kahuna workflow solutions is a huge plus Experience with a contemporary programming language (such as Python) is needed Must be knowledgeable in general lab practices and always learning new science Excellent communication skills with the ability to inspire others about automation possibilities Comfortable with a dynamic work environment and schedule, including working on multiple projects and application areas in a day and managing flexible travel plans Gritty, confident, and cool under pressure Self-driven and solutions-oriented to thrive in an environment of high-performance expectations Location preferred – US, Midwest Compensation The US base salary range for this full-time position is $120,000 - $140,000. This salary range is an estimate, and the actual base salary may vary based on the Company’s compensation practices. This role is also eligible for our bonus program, comprehensive health, and retirement benefit programs. US Jobs must have pay transparency on all JD's US pay range $120,000—$140,000 USD", "summaryDescription" : "Field Automation Scientist at Unchained Labs. Skills: Lab automation, Customer support. Lead installation. Integration testing", "postedDate" : "2026-06-14T20:09:46.637", "createdAt" : "2026-06-14T20:09:46.637", "lastUpdated" : "2026-06-16T01:20:25.988", "ingestTimestamp" : "2026-06-14T20:09:46.637", "mongoId" : "6a2c7ae574d8ee00a09474b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Lab automation", "Workflow solutions", "Customer support", "System commissioning", "Application support", "System troubleshooting", "Lab automation workflow", "Scientific fields", "High throughput", "Salesforce CRM" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe91", "title" : "Research Scientist, Outbound", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Research Science, north america stores", "salary" : { "min" : 136000.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-16T05:54:51.075", "fingerprint" : "e57cf3b55fd0ba6c24dc132b2d87ea315216b233959816323a982ca55d77a7d2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051181/apply", "externalId" : "ee2c0076-48e5-414c-8f6c-22e3a3384678", "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, R, SQL, AWS, SageMaker, Spark, Hugging Face, TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, MLflow, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data pipeline development", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Design and implement data science solutions, Develop and maintain machine learning models, Build and optimize data pipelines, Perform statistical analysis and A/B testing, Create and maintain business intelligence dashboards, Collaborate with engineering teams, Communicate findings to stakeholders, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Data engineering; Data science; Machine learning; AI", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-engineering", "data-science", "machine-learning", "ai" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Data engineering", "Data science", "Machine learning", "AI" ], "toolProficiency" : [ "SageMaker", "MLflow", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake" ], "qualificationsBasic" : "5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD in a quantitative field, Experience with AWS, Experience with machine learning frameworks, Experience with large-scale data processing", "remoteFriendly" : false, "workSiteFlexibility" : "Remote", "rawDescription" : "Outbound Communications organization is seeking a highly motivated Senior Research Scientist. In Outbound, we are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized and relevant messages across digital channels such as email, mobile push notifications, WhatsApp and SMS. As a Research Scientist in Outbound, you will architect and develop the scientific models for the next generation Outbound message management service that sends 100s of millions of communications (push, email, etc) to worldwide Amazon customers everyday plausibly within minutes of customer-actions on amazon.com. The models handle decisions such as scheduling and optimization across message-ranking, timing and frequency across these messages that drive $20B+ of annual revenue for Amazon. You will use techniques such as reinforcement learning and multi-armed bandits (MAB) to optimize long-term engagement of customers with Amazon. The models and architecture you build ensure a high bar for customer experience through scientifically established guardrails that would use large language models (LLMs). You will own and present research artifacts to internal and external science forums, along with influencing senior leadership and stakeholders for strategic decision-making. Key job responsibilities As a Research Scientist in Outbound, you will design and develop science models in a highly ambiguous message-management domain that handles scheduling and dispatch decisions of 100s of millions of messages everyday. These models will decide what messages we send to customers, at what times, and through what channels to optimize the long-term customer engagement. You will research and apply state of the art modeling methods such as reinforcement learning, bandits, neural networks, causal modeling methods and LLMs to optimize the message selection, timing and channel of communication for customers. At the crux of architecting these models is influencing the software design of the new message management service responsible to send these messages to customers in span of minutes from when a customer takes actions on-site. You will partner closely with the software engineering and product managers to come up with an ideal design of science architecture that considers design tradeoffs in context of software constraints and user requirements. You will design and analyze experiments that enable quick iteration of model development and learnings as Outbound’s message-management service evolves. You will present scientific findings to senior leaders; and technical, business and product stakeholders to guide for decisions that maximize benefits for Amazon in the long-run. You will mentor junior scientists in the team. You will coordinate with broader Amazon science teams to align your research and scientific design choices with the broader Amazon’s customer objectives. You will document and publish your research-driven artifacts to influence the scientific community in and outside of Amazon. Basic Qualifications: - PhD and 4+ years, or Master's degree and 8+ years of industry experience in a quantitative discipline. - 4+ years of experience investigating the feasibility of applying scientific principles and concepts to business problems. - 4+ years of experience with advanced machine learning methods such as neural networks, reinforcement learning, natural language processing. - 4+ years of experience with programming languages such as python, C++, Java. - 4+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - 2+ years of experience communicating findings and details of quantitative research methods to non-quantitative audience Preferred Qualifications: - 2+ years of experience with discrete and continuous optimization methodologies and algorithms - 2+ years of experience working in software system design. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/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" : "Research Scientist, Outbound at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Design and implement data science solutions. Develop and maintain machine learning models", "postedDate" : "2026-06-14T19:47:07.634", "createdAt" : "2026-06-14T19:47:07.634", "lastUpdated" : "2026-06-16T05:54:51.075", "ingestTimestamp" : "2026-06-14T19:47:07.634", "mongoId" : "68b706997fc9a711f0f6fe91", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051181/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 212800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning algorithms", "Data pipeline development", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Data science", "AI", "SageMaker", "MLflow", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307febf292fd229c05f960", "title" : "Associate Educational Sales Consultant, Inside Sales, New Grad", "company" : "IXL Learning", "industry" : "Education", "salary" : { "min" : 25.0, "max" : 26.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Mateo, California, United States", "locations" : [ "San Mateo", "California", "United States" ], "timestamp" : "2026-06-16T14:03:20.580", "fingerprint" : "b45f2d4000222fb0ad1cf1f193595a02e7675bddfd687f103c028b4d0b2637e5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.ixl.com/company/jobs?gh_jid=8590063002", "externalId" : "8590063002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "IXL Learning, developer of personalized learning products used by millions of people globally, is seeking an upbeat, focused, high-energy individual to join our Inside Sales team. The ideal candidate will be goal-oriented and tenacious. You will have experience working with technology and assisting customers. We are looking for a self-starter that will support our rapidly growing customer base. In this role, you will use your communication skills to effectively explain solutions to prospective customers (who are teachers, students, parents, and school administrators). This position requires you to be in our San Mateo, CA, headquarters office. We encourage new college graduates to apply including the class of 2026. WHAT YOU’LL BE DOING Conduct cold outbound calls and qualify inbound inquiries to identify customer needs and route high-potential opportunities to the field sales team Manage the end-to-end processing of transactional sales, ensuring accurate CRM data entry and quick lead follow-up Assist with the execution of targeted sales campaigns and provide administrative support to the broader sales team Research and identify potential growth opportunities within target markets to help the team achieve sales goals Deliver engaging virtual product demonstrations to prospective users, effectively communicating IXL’s value proposition WHAT WE’RE LOOKING FOR BA/BS degree Customer service, inside sales or education experience, preferably within the edtech or software industry Any K12 classroom experience is a plus Excellent listening, negotiation, and presentation skills Strong verbal (telephone) and written communications skills A high level of self-motivation, energy, and drive to succeed Ability to manage multiple projects at a time while paying strict attention to detail Understanding of web applications Salesforce.com experience is a plus Passion for improving education through technology! The base hourly rate for this full-time position is $25 to $26 per hour + commission eligibility + benefits. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire pay ranges for the position. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. ABOUT IXL LEARNING IXL Learning is the country's largest EdTech company. We reach millions of learners through our diverse range of products. For example: 1 in 4 students in the United States uses IXL.com Rosetta Stone provides an immersive learning experience for 25 languages Wyzant is the nation's largest community of tutors, covering 300+ subjects Teachers Pay Teachers (TPT) is a comprehensive marketplace for millions of educator-created resources Our mission is to create innovative products that will make a real, positive difference for learners and educators and we're looking for passionate, mission-minded people to join us in achieving this goal. We have a unique culture at IXL that fosters collaboration and the open exchange of ideas. We value our team and treat one another with kindness and respect. We approach our work with passion, tenacity, and authenticity. We find it immensely satisfying to develop products that impact the lives of millions and we are eager to have you join our team. At IXL, we value diversity in age, race, ethnicity, gender, sexual orientation, physical and mental ability, political and religious beliefs, and life experience, and we are proud to promote a work environment where everyone, from any background, can do their best work. IXL Learning is an equal opportunity employer and does not discriminate against applicants and employees based on any legally protected category.", "summaryDescription" : "Associate Educational Sales Consultant, Inside Sales, New Grad at IXL Learning", "postedDate" : "2026-06-16T01:16:52.137", "createdAt" : "2026-06-16T01:16:52.137", "lastUpdated" : "2026-06-16T14:03:20.580", "ingestTimestamp" : "2026-06-16T01:16:52.137", "mongoId" : "6a307febf292fd229c05f960", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 54080, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a220ddd74d8ee00a0d6f2cf", "title" : "CDL A DRIVER NEW GRAD ONLY", "company" : "4th Day Trucking", "industry" : "Logistics", "salary" : { "min" : 650.0, "max" : 1500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Gary, IN", "locations" : [ "Gary", "IN" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-15T22:57:31.058", "fingerprint" : "f57d6ea1c9ba2aa427a9e35b6251e3e0c03b5fab9d54d1dc80fe8c12f2414c9a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://4th-day-trucking.breezy.hr/p/61d8fc4ae4ec-cdl-a-driver-new-grad-only-get-your-career-started", "externalId" : "61d8fc4ae4ec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gary", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.5702561,-87.3365496" } ], "locationText" : "Gary, Indiana, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Deliver freight in Midwest states, Operate truck with trainer for 4-6 weeks", "domainKnowledge" : "Midwest states delivery", "domainList" : [ "midwest-states-delivery" ], "domainSpecificKnowledge" : [ "Midwest states delivery" ], "specialRequirements" : "Out 4-6 weeks, No touch freight", "qualificationsBasic" : "CDL A license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NEW GRAD driver position! OUT 4 to 6 weeks with a trainer and make 650.00 a week or more , then after training, you are home weekly making 1200 to 1500! Get your career started! LOTS OF FRIEGHT !! NO TOUCH FRIEGHT! New GRADS ONLY !! EASY JOB, GREAT PEOPLE! DELIVERS IN MID WEST STATES! It", "summaryDescription" : "CDL A DRIVER NEW GRAD ONLY at 4th Day Trucking. Deliver freight in Midwest states. Operate truck with trainer for 4-6 weeks", "createdAt" : "2026-06-14T21:54:05.860", "lastUpdated" : "2026-06-15T22:57:31.058", "ingestTimestamp" : "2026-06-14T21:54:05.860", "mongoId" : "6a220ddd74d8ee00a0d6f2cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 33800, "salaryAnnualMax" : 78000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Midwest states delivery", "CDL A" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305788f292fd229cf3ad8f", "title" : "Data Scientist (Audit Analytics & Automation)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 98500.0, "max" : 141500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Scientist in Omaha, adjusted for mid-seniority, engineering industry, and full-time employment." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T08:32:08.485", "fingerprint" : "54ae453537841b5c07a7f90fd084e3ff7160e3248c238fa96955f4dd1074c970", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784465", "externalId" : "784465", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, SQL, Generative AI, Snowflake, Power BI, Alteryx, RPA, UiPath, Automation Anywhere", "professionalSkills" : [ "Process improvement", "Data analysis", "Automation" ], "hardSkillsList" : [ "Predictive analytics", "Feature engineering", "Natural language processing", "Data visualization", "Continuous auditing" ], "hardSkills" : [ { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Natural language processing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Continuous auditing", "level" : "intermediate" } ], "majorSkills" : "Data science, Automation, Generative AI", "majorSkillsList" : [ "Data science", "Automation", "Generative AI" ], "coreResponsibilities" : "Analyze datasets, Perform exploratory data analysis, Perform feature engineering, Develop models, Perform natural language processing, Identify trends and patterns, Design automated audit procedures, Implement automated audit procedures, Visualize data insights, Develop continuous auditing processes, Develop monitoring processes, Identify opportunities for automation, Identify opportunities for process improvement, Stay current on emerging technologies, Stay current on data science techniques, Stay current on internal audit trends, Stay current on automation trends, Train team members on tools, Train team members on reporting systems, Support financial audits, Support operational audits, Support compliance audits, Support technology audits", "teamCollaboration" : "Internal Audit team; HDR Data Architecture teams", "domainKnowledge" : "Internal audit; Audit analytics; Audit automation", "domainList" : [ "internal-audit", "audit-analytics", "audit-automation" ], "domainSpecificKnowledge" : [ "Internal audit", "Audit analytics", "Audit automation" ], "toolProficiency" : [ "Snowflake", "Power BI", "Alteryx", "UiPath", "Automation Anywhere" ], "continuousLearning" : "Mentorship", "innovationCreativity" : "Generative AI", "problemSolvingSkills" : "Data-driven insights", "outcomesObjectives" : "Improve audit efficiency; Enhance risk coverage; Enhance audit reporting; Enhance continuous auditing capabilities", "qualificationsBasic" : "5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Snowflake experience, Alteryx experience, RPA tools experience, UiPath experience, Automation Anywhere experience, ERP systems experience", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR has partnered with clients to shape communities and push the boundaries of what’s possible since 1917. We specialize in engineering, architecture, environmental and construction services. With nearly 15,000 employees in more than 225 locations around the world, we think global and act local. We are seeking a motivated, proactive, and tech-savvy professional to join our dynamic Internal Audit team. This is an exciting opportunity for a driven individual with a passion for innovation, process improvement, and value creation. In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. Preferred Technical Skills: Snowflake (data warehousing and analytics) Power BI or other data visualization tools Alteryx or similar data preparation platforms Python or SQL for data analysis and automation Robotic Process Automation (RPA) tools such as UiPath or Automation Anywhere ERP systems. ", "summaryDescription" : "Data Scientist (Audit Analytics & Automation) at HDR. Skills: Data science, Automation, Generative AI. Analyze datasets. 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In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. 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In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. 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In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR has partnered with clients to shape communities and push the boundaries of what’s possible since 1917. We specialize in engineering, architecture, environmental and construction services. With nearly 15,000 employees in more than 225 locations around the world, we think global and act local. We are seeking a motivated, proactive, and tech-savvy professional to join our dynamic Internal Audit team. This is an exciting opportunity for a driven individual with a passion for innovation, process improvement, and value creation. In this role, you will help transform Internal Audit through data-driven insights, scalable automation, and innovative audit techniques that improve efficiency and enhance risk coverage. As our first dedicated data scientist, you will help shape the analytics roadmap, redefine audit processes by leveraging automation, data analytics, and generative AI to enhance audit efficiency, reporting, and continuous auditing capabilities. This role is designed to grow with you - from building foundational analytics capabilities to eventually leading continuous auditing programs and mentoring future team members. Why Join Us? Be part of a forward-thinking audit team embracing innovation and technology. Gain hands-on experience with cutting-edge tools and methodologies. We provide a collaborative learning environment supported by strong mentorship, diverse career opportunities, and an employee ownership culture built on doing the right thing to make great things possible! Keyword(s): Data Scientist, Predictive Analytics, Statistics, Analytics, Generative AI, Continuous Auditing Key Responsibilities: Analyze a wide range of datasets across different subject areas and drive the analytical process from start to finish. Perform exploratory data analysis, feature engineering, model development, and natural language processing to identify trends and patterns. Design and implement automated audit procedures and reporting. Visualize data insights through dashboards and reports. Develop continuous auditing and monitoring processes using AI tools and data analytics. Collaborate with Internal Audit and HDR’s Data Architecture teams to identify opportunities for automation and process improvement. Stay current on emerging technologies, data science techniques, and trends in internal audit and automation. Train team members on the use of automated tools and reporting systems. Support financial, operational, compliance and technology audits as needed. 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We value curiosity, creativity, diligence, tenacity, intellectual honesty, clear thought and communication, attention to detail, and the ability to effectively collaborate. At Edgestream an individual dedicated effort can have a major impact. About the Job The Research group at Edgestream consists of highly skilled mathematicians, scientists, and engineers, working together to unravel some of finance’s hardest problems. We create the models of market behavior that drive all trading in our funds. Our work involves creation and application of techniques from probability and statistics, machine learning, information theory, optimization, and algorithms, to better understand the behavior of markets and direct our trading. We also work together to continuously enhance the platform that the research group uses for discovery, evaluation, and implementation. The applicant may choose to work primarily from either Princeton, NJ or New York, NY. Qualifications: PhD in a mathematical, scientific, or engineering discipline At least one subsequent academic or industrial/government research appointment Evidence of distinction and impact (publications or impactful results in industry) Exposure to programming, numerical computation, and ideally data analysis and a keen interest in further developing your skills in these areas No knowledge of finance is required Some of the benefits of working at Edgestream: Competitive initial salary, bonus - and an opportunity for further long-term substantial financial rewards An opportunity to see your work appreciated and have tangible impact A talented group of colleagues to work with who share a common objective and therefore have a real interest in your success Comprehensive benefits (including medical and dental insurance, 401(k), HRA, FSA, life insurance, and daily catered lunch that encourages relationship-building and communication). Contact Info For questions, please contact careers@edgestreamlp.com. Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Base salary range: $175k-$215k.", "summaryDescription" : "Research Scientist at Edgestream. Skills: Quantitative modeling, Machine learning, Market behavior. Develop quantitative models. 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Equipment teams; Operations leaders; Stakeholders", "domainKnowledge" : "Semiconductor fabrication; Statistical Process Control; Design of Experiments; FDC methodologies; 8D methodologies", "domainList" : [ "semiconductor-fabrication", "statistical-process-control", "design-of-experiments", "fdc-methodologies", "8d-methodologies" ], "domainSpecificKnowledge" : [ "Semiconductor fabrication", "Statistical Process Control", "Design of Experiments", "FDC methodologies", "8D methodologies" ], "toolProficiency" : [ "Python", "Java", "Tableau", "Matlab", "Microsoft Office" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Accurate documentation; Accurate procedures", "problemSolvingSkills" : "Troubleshoot issues; Resolve process issues; Address chronic failures; Identify yield loss risks; Resolve yield loss risks; Identify defects; Resolve defects; Identify tool restrictions; Resolve tool restrictions; Identify output disruptions; Resolve output disruptions", "specialRequirements" : "Rotate across shifts", "outcomesObjectives" : "Improve process quality; Improve yield; Improve efficiency; Drive cost reduction; Optimize wafer output; Meet operational KPIs; Ensure successful wafer production", "qualificationsBasic" : "Bachelor's or Master's degree, Chemical Engineering, Electrical Engineering, Materials Science, Physics, or related field, Flexibility to work and rotate across shifts, In-depth knowledge of Statistical Process Control, In-depth knowledge of Design of Experiments, Proficiency in Python, Java, Tableau, Matlab, or Microsoft Office tools, Ability to analyze data and make critical process decisions", "qualificationsPreferred" : "Experience with data collection systems, Experience with data warehousing, Experience with data cleansing, Hands-on experience in data analytics, Querying databases, Intermediate understanding of semiconductor fabrication processes, Intermediate understanding of semiconductor equipment, Intermediate understanding of semiconductor supporting systems, Demonstrated time management skills, Demonstrated organization skills, Demonstrated prioritization skills, Demonstrated communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s Boise, Idaho site is undergoing a historic investment to expand semiconductor manufacturing capabilities, supporting the company’s broader commitment to innovation and technology transformation. As part of this global expansion, the Boise team plays a critical role in advancing DRAM production and enabling the next generation of semiconductor solutions. The ID1 High Volume Manufacturing Shift Process Engineer drives process quality and manufacturing efficiency within a high-volume production environment. This role focuses on improving yield, optimizing throughput, resolving line issues, and partnering with cross-functional teams to meet operational KPIs and ensure successful wafer production. **Responsibilities** * Improves process quality, yield, and efficiency while driving cost reduction and optimizing wafer output * Monitors and analyzes SPC data daily, resolving process issues and addressing chronic failures with process owners * Applies SPC, FDC, and 8D methodologies to troubleshoot issues, optimize processes, and improve tool availability and performance * Identifies and resolves or escalates yield loss risks, defects, tool restrictions, and output disruptions in a timely manner * Partners with equipment teams, operations leaders, and stakeholders to execute priorities and maintain accurate documentation and procedures **Minimum Qualifications** * Bachelor’s or Master’s degree in Chemical Engineering, Electrical Engineering, Materials Science, Physics, or a related engineering field * Flexibility to work and rotate across shifts as needed * In-depth knowledge of Statistical Process Control and Design of Experiments * Proficiency in one or more programming or data analysis tools such as Python, Java, Tableau, Matlab, or Microsoft Office tools * Ability to analyze data and make critical process decisions to support manufacturing operations **Preferred Qualifications** * Strong verbal and written communication skills * Experience with data collection systems, data warehousing, and data cleansing * Hands-on experience in data analytics, including querying databases * Intermediate understanding of semiconductor fabrication processes, equipment, and supporting systems * Demonstrated time management, organization, prioritization, and communication skills As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on _[micron.com/careers/benefits](https://www.micron.com/careers/benefits)_. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your _**[right to work click here.](http://www.justice.gov/crt/worker-information)**_ To learn more about Micron, please visit** _[ micron.com/careers](https://www.micron.com/careers)_** For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at _[hrsupport_na @micron.com](mailto:hrsupport_na@micron.com)_ or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert**:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "(New College Grad) Engineer - Shift Process at Micron Technology. Skills: Process engineering, Statistical Process Control, Data analysis. Improve process quality. Improve yield", "postedDate" : "2026-06-11T15:42:35.057", "createdAt" : "2026-06-11T15:42:34.847", "lastUpdated" : "2026-06-12T23:59:29.654", "ingestTimestamp" : "2026-06-11T15:42:34.847", "mongoId" : "6a2a688574d8ee00a06346e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Boise-ID---Main-Site/XMLNAME--New-College-Grad--Engineer---Shift-Process_JR103341", "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical Process Control", "Design of Experiments", "Data analysis", "Process decisions", "Process engineering", "Process quality", "Manufacturing efficiency", "Cost reduction", "Wafer output optimization", "Process troubleshooting", "Process owners", "Process optimization", "Tool availability", "Tool performance", "Yield loss", "Defect resolution", "Tool restrictions", "Output disruptions", "Equipment teams", "Operations leaders", "Stakeholders", "Documentation", "Procedures", "Semiconductor fabrication", "FDC methodologies", "8D methodologies", "Python", "Java", "Tableau", "Matlab", "Microsoft Office" ], "skillCount" : 31, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a220ddd74d8ee00a0d6f2cc", "title" : "CDL A DRIVER NEW GRAD ONLY", "company" : "4th Day Trucking", "industry" : "Logistics", "salary" : { "min" : 650.0, "max" : 1500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Springdale, AR", "locations" : [ "Springdale", "AR" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-16T02:33:20.482", "fingerprint" : "f1bde6170179845ee176b4b1cd3c4d8154b631aeac139e82248a17812043e8b4", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://4th-day-trucking.breezy.hr/p/417d6b1b4bdd-cdl-a-driver-new-grad-only-get-your-career-started", "externalId" : "417d6b1b4bdd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Springdale", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1867442,-94.1288142" } ], "locationText" : "Springdale, Arkansas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Deliver in Midwest states", "specialRequirements" : "Out 4 to 6 weeks, No touch freight", "qualificationsBasic" : "CDL A license", "qualificationsPreferred" : "New grad driver position", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NEW GRAD driver position! 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Deliver freight in Midwest states", "createdAt" : "2026-06-14T18:38:38.572", "lastUpdated" : "2026-06-16T06:50:36.252", "ingestTimestamp" : "2026-06-14T18:38:38.572", "mongoId" : "6a220ddd74d8ee00a0d6f2c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 33800, "salaryAnnualMax" : 78000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "CDL A license" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e412f8b1b0376634c1ed", "title" : "Research Scientist", "company" : "ADCI", "industry" : "Machine Learning Science, Research Science, transportation and logistics", "salary" : { "min" : 2250000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Scientist in Logistics in Bengaluru, India, adjusted for mid-level experience and full-time employment." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:07:25.753", "fingerprint" : "bb4ba8c3844fc51bd6c8e3a289e169d95715875ebe71f434e3af353da798e7ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3075733/apply", "externalId" : "9e8bf8b7-5b40-46e0-b9a1-db24ef4f2c72", "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" : "PhD", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "C/C++, Python, Java, Perl, Machine Learning, Neural deep learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow", "professionalSkills" : [ "Algorithm design", "Product development" ], "hardSkillsList" : [ "Mathematics", "Statistics" ], "softSkillsList" : [ "Strategic thinker", "Business judgment", "Execution skills" ], "hardSkills" : [ { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinker" }, { "name" : "Business judgment" }, { "name" : "Execution skills" } ], "majorSkills" : "Machine Learning, Data science, Logistics optimization", "majorSkillsList" : [ "Machine Learning", "Data science", "Logistics optimization" ], "coreResponsibilities" : "Optimize delivery network, Ensure reliable service, Ensure efficient service, Drive impactful projects, Implement advanced solutions, Develop scalable processes", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Logistics challenges; Delivery operations", "domainList" : [ "logistics-challenges", "delivery-operations" ], "domainSpecificKnowledge" : [ "Logistics challenges", "Delivery operations" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Analytical capabilities", "qualificationsBasic" : "3+ years building ML models, Knowledge of C/C++, Python, Java or Perl, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning", "qualificationsPreferred" : "PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, 3+ years of extensive relevant research experience, Deep expertise in Machine Learning, Proficiency in programming, Core competency in mathematics and statistics, Track record of successful projects in algorithm design and product development, Publications at peer-reviewed conferences or journals, Experience with modern modeling tools and frameworks, Experience with large scale distributed systems, 3+ years of relevant, broad research experience, Publications at top-tier peer-reviewed conferences or journals, Prior experience with mentorship and/or management of scientists, Experience working with real-world data sets, Experience building scalable models from big data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic qualifications • 3+ years of building machine learning models for business application experience • Knowledge of programming languages such as C/C++, Python, Java or Perl • Experience programming in Java, C++, Python or related language • Experience with neural deep learning methods and machine learning Preferred qualifications: • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field • 3+ years of extensive relevant research experience • Deep expertise in Machine Learning • Proficiency in programming • Core competency in mathematics and statistics • Track record of successful projects in algorithm design and product development • Publications at peer-reviewed conferences or journals • Strategic thinker with good execution skills • Exhibits excellent business judgment • Effective verbal and written communication skills • Experience working with real-world data sets and building scalable models from big data • Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow • Experience with large scale distributed systems Basic Qualifications: - 3+ years of building machine learning models for business application experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 3+ years of relevant, broad research experience - Deep expertise in Machine Learning - Proficiency in programming - core competency in mathematics and statistics. - Track record of successful projects in algorithm design and product development. - Publications at top-tier peer-reviewed conferences or journals. - prior experience with mentorship and/or management of scientists - Thinks strategically, but stays on top of tactical execution. - Exhibits excellent business judgment; balances business - Effective verbal and written communication skills - Experience working with real-world data sets and building scalable models from big data. - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, - Experience with large scale distributed systems 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" : "Research Scientist at ADCI. Skills: Machine Learning, Data science, Logistics optimization. Optimize delivery network. Ensure reliable service", "postedDate" : "2026-06-13T15:31:44.658", "createdAt" : "2026-06-13T15:31:44.658", "lastUpdated" : "2026-06-15T02:07:25.753", "ingestTimestamp" : "2026-06-13T15:31:44.658", "mongoId" : "68c2e412f8b1b0376634c1ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3075733/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mathematics", "Statistics", "Strategic thinker", "Business judgment", "Execution skills", "Machine Learning", "Data science", "Logistics optimization", "Algorithm design", "Product development", "Program management", "Logistics challenges", "Delivery operations", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c8c8274d8ee00a0975afc", "title" : "Senior Research Manager, Design Research", "company" : "WHOOP", "industry" : "Machine Learning & Research", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T21:48:57.814", "fingerprint" : "8d297a4dc51b93677268254fcbfadd29936f418aee64005df394c610c1c8a888", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/304b0079-9f48-4d8e-a14f-699b611e7da5/application", "externalId" : "304b0079-9f48-4d8e-a14f-699b611e7da5", "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" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives. WHOOP is hiring a Senior Research Manager, Design Research to lead and scale critical research efforts across WHOOP Labs. This role will oversee Design Research, shaping how early-stage insights inform product innovation. As a people-first leader, you will balance strategic direction, team development, and hands-on contribution—ensuring research rigor and impact across the hardware development lifecycle. RESPONSIBILITIES: - - Provide strategic leadership across design research, ensuring alignment with hardware, product, and organizational priorities. - Scale early-stage research initiatives, working closely with cross-functional leaders to identify opportunities for research and set expectations for mixed-methods research, ensuring research is positioned as a critical input to decision-making. - Partner closely with Program Management and team members to intake research needs, assess tradeoffs, and guide prioritization and research direction. - Manage, coach, and develop a team of senior researchers, fostering strong research craft, clear communication, and professional growth. - Serve as a senior individual contributor on complex, high-impact research initiatives, particularly those adjacent to physical product and hardware development. - Own relationships with external research vendors, including scoping projects, defining success criteria, and ensuring high-quality execution. - Communicate research insights clearly and credibly to cross-functional partners and leadership, positioning research as a critical input to decision-making. QUALIFICATIONS: - - Bachelor’s degree in a relevant field such as human factors, design research, user experience research, design anthropology, psychology, or a related discipline. - 5+ years of experience conducting user research for physical products, ideally within hardware, health, or consumer product environments. - 2+ years of people management experience, including coaching, feedback, and performance development. - Strong mixed-methods research background, with demonstrated application of qualitative and quantitative approaches to real-world products. - Experience working within or alongside hardware development lifecycles (not software-only). - Experience managing or partnering with external research vendors, including project scoping and execution. - Ability to manage multiple workstreams, navigate ambiguity, and influence without direct authority across cross-functional teams. - Excellent written, verbal, and presentation skills, with the ability to communicate complex insights to executive audiences. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. 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 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 $120,000 - $160,000. 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. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. In the role of Design Co-op: Perform assignments under the direct supervision of Architects, Project Managers and other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to clients or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Other duties as needed Preferred Qualifications Demonstrated knowledge of software packages related to field of study/industry (particularly Revit, Photoshop, Rhino and Grasshopper) Must be a team player and enjoy working in an open studio environment where knowledge sharing, communication and teamwork determine success 2 years completed toward degree with 3.0+ GPA Experience working with Revit Experience with physical model-making Experience using Enscape and rendering We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. 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We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. Our British Columbia offices, located in Vancouver, Victoria and Penticton specialize in design of institutional and public-facing projects including major social infrastructure projects, mass timber, and post-secondary institutions. We work in collaborative studios across offices, pairing our local knowledge and deep project experience with leading edge expertise from around the globe. 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Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions and collaborate to make great things possible. This position is full-time and based in our downtown Vancouver office, beginning in September 2026 for a duration of 4, 8, or 12 months. 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And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day. ## We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and ****The Power of Every One.**** ### Job Title New Grad RN Resident - Orthopedics ### Location Cleveland ### Facility Cleveland Clinic Main Campus ### Department H70 Orthopedics-Main Campus Hospital ### Job Code F99938 ### Shift Day/Night Rotation ### Schedule 7:00am-7:30pm/7:00pm-7:30am ### Job Summary ### Job Details Join Cleveland Clinic's Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world-class, and caregivers are family. Cleveland Clinic is recognized as one of the top hospitals in the nation. At Cleveland Clinic, you will work alongside passionate and dedicated caregivers, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. The **H70 Orthopedic Unit** is dedicated to caring for adult post-operative orthopedic patients and overflow patients from the Neurological Institute and Department of General Surgery. Common surgeries performed on our patients include total hip, knee, and shoulder arthroplasty, revisions of hips, knees, and shoulders, and sarcoma resection. Osteoarthritis is the primary underlying disease for most of our patient population, along with infections of joints, osteomyelitis, fractures, sarcoma, and avascular necrosis. **A caregiver in this position works a day/night rotation from 7:00AM – 7:30PM or 7:00PM – 7:30AM. ** A caregiver who excels in this role will: * Participate in a residency core curriculum based on individual learning needs. * Provide direct nursing care alongside a success coach. * Establish and/or revise priorities for patient care (acuity of need, patient preference and resource availability). * Respond to data indicating risk to patients’ health and initiate action to correct, reduce or prevent risk. * Seek supervision, consultation and assistance when unable to perform safely and independently. * Document in patients’ medical records. Minimum qualifications for the ideal future caregiver include: * Graduate from an accredited school of professional nursing (ADN or BSN program) * Current state licensure as a Registered Nurse (RN) * Basic Life Support (BLS) Certification through the American Heart Association (AHA) OR American Red Cross * New graduate RN OR less than one year of RN work experience Preferred qualifications for the ideal future caregiver include: * Bachelor’s of Science in Nursing (BSN) **Physical Requirements:** * Requires full range of body motion including handling and lifting patient, manual and finger dexterity, and eye-hand coordination. * Requires standing and walking for extended periods of time. * Requires corrected vision and hearing to normal range. * Requires working under stressful conditions and irregular hours. * Exposure to communicable diseases and/or body fluids. * Medium Work - Exerting 20 to 50 pounds of force occasionally, and/or 10 to 25 pounds of force frequently, and/or greater than negligible up to 10 pounds of force constantly to move objects. * Physical Demand requirements are in excess of those for Light Work. **Personal Protective Equipment:** * Follows Standard Precautions using personal protective equipment as required for procedures. The policy of Cleveland Clinic Health System and its system hospitals (Cleveland Clinic Health System) is to provide equal opportunity to all of our caregivers and applicants for employment in our drug free environment. All offers of employment are followed by testing for controlled substances. Cleveland Clinic Health System administers an influenza prevention program. You will be required to comply with this program, which will include obtaining an influenza vaccination on an annual basis or obtaining an approved exemption. Decisions concerning employment, transfers and promotions are made upon the basis of the best qualified candidate without regard to color, race, religion, national origin, age, sex, sexual orientation, marital status, ancestry, status as a disabled or Vietnam era veteran or any other characteristic protected by law. Information provided on this application may be shared with any Cleveland Clinic Health System facility. If applying for a Florida position, please see the following website for more information on the background screening requirements required by the Agency of Health Care Administration: [_https://info.flclearinghouse.com/_](https://info.flclearinghouse.com/) Please review the [_Equal Employment Opportunity poster_](https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal). Cleveland Clinic is pleased to be an equal employment opportunity employer.", "summaryDescription" : "New Grad RN Resident - Orthopedics at Cleveland Clinic Health System. Skills: Orthopedic nursing, Patient care, Clinical documentation. Provide direct patient care. 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"title" : "Senior Research Scientist, Perception", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 213000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, United States", "locations" : [ "Kirkland", "Washington", "United States", "Mountain View", "California", "United States", "Mountain View", "California", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T22:44:44.321", "fingerprint" : "047a745eaad2520c7a7f1ccdc8d7700710c9c1b7d3668476572d11c075e65023", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=8003626", "externalId" : "8003626", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Scala, Spark, SQL, Machine Learning, Generative Modeling, Bayesian Inference, Reinforcement Learning, Hierarchical Learning", "hardSkillsList" : [ "Statistical analysis", "ML modeling", "Data analysis" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "ML modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Autonomous Driving", "majorSkillsList" : [ "Machine Learning", "AI", "Autonomous Driving" ], "coreResponsibilities" : "Develop machine learning solutions, Address open problems, Foster collaborations with research teams", "teamCollaboration" : "Collaborate with research teams", "domainKnowledge" : "Autonomous driving; Perception", "domainList" : [ "autonomous-driving", "perception" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Perception" ], "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Principal Research Scientist. You will: Research 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000—$263,000 USD", "summaryDescription" : "Senior Research Scientist, Perception at Waymo. Skills: Machine Learning, AI, Autonomous Driving. Develop machine learning solutions. Address open problems", "postedDate" : "2026-06-14T18:32:46.834", "createdAt" : "2026-06-14T18:32:46.834", "lastUpdated" : "2026-06-15T22:44:44.321", "ingestTimestamp" : "2026-06-14T18:32:46.834", "mongoId" : "6a2cd9e174d8ee00a0a49e4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 213000, "salaryAnnualMax" : 263000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "ML modeling", "Data analysis", "Machine Learning", "AI", "Autonomous Driving", "Autonomous driving", "Perception" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c771b74d8ee00a093bc0a", "title" : "Senior Planning Research Scientist", "company" : "Venti Technologies", "industry" : "Engineering", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Planning Research Scientist in Singapore, adjusted for the technology industry and company size." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-16T03:08:50.249", "fingerprint" : "cc24a8db56591b6557523a7a73cea7726eb8457eebac12c8cd4f3c7c8af56b36", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/goventi/19b29fee-2b35-4c71-b0b9-b8a6e3bfd633/application", "externalId" : "19b29fee-2b35-4c71-b0b9-b8a6e3bfd633", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, ROS/ROS2, CMake, CI/CD", "professionalSkills" : [ "System design", "Algorithm development", "Performance optimization", "System integration", "System debugging", "Mentorship" ], "hardSkillsList" : [ "Graph search", "Sampling-based methods", "Optimization-based methods", "Real-time software design" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Graph search", "level" : "intermediate" }, { "name" : "Sampling-based methods", "level" : "intermediate" }, { "name" : "Optimization-based methods", "level" : "intermediate" }, { "name" : "Real-time software design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Planning algorithms, Motion planning, Route planning, C++ implementation", "majorSkillsList" : [ "Planning algorithms", "Motion planning", "Route planning", "C++ implementation" ], "coreResponsibilities" : "Design planning algorithms, Implement planning algorithms, Optimize planning algorithms, Design route planning modules, Implement route planning modules, Maintain route planning modules, Deliver code for autonomous driving, Profile planning algorithms, Optimize planning algorithms for runtime, Optimize planning algorithms for memory, Optimize planning algorithms for latency, Collaborate with perception teams, Collaborate with prediction teams, Collaborate with control teams, Ensure seamless data flow, Ensure performance consistency, Implement simulation environments, Simulate planning algorithms, Validate planning algorithms, Conduct analysis for robustness, Conduct analysis for reliability, Debug multi-module systems, Analyze logs, Analyze telemetry, Ensure deployment of planning modules, Work with engineers, Work with researchers, Share best practices, Mentor junior developers", "teamCollaboration" : "Cross-functional teams; Perception, prediction, control teams", "domainKnowledge" : "Autonomous vehicles; Robotics; Logistics systems; Deep learning; Real-time systems", "domainList" : [ "autonomous-vehicles", "robotics", "logistics-systems", "deep-learning", "real-time-systems" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Robotics", "Logistics systems", "Deep learning", "Real-time systems" ], "toolProficiency" : [ "Linux", "ROS/ROS2", "Git", "CMake", "CI/CD pipelines" ], "communicationSkills" : "Translate algorithmic concepts", "innovationCreativity" : "Develop novel algorithms", "problemSolvingSkills" : "Debug complex systems; Analyze logs and telemetry", "qualificationsBasic" : "PhD or Master’s degree, Proficiency in C++, Solid understanding of OOP, Solid understanding of data structures, Solid understanding of algorithms, Solid understanding of real-time software design, Foundation in graph search, Foundation in sampling-based methods, Foundation in optimization-based methods, Experience with optimization, Hands-on experience developing robotic systems, Hands-on experience developing autonomous systems, Proficiency with Linux, Proficiency with ROS/ROS2, Proficiency with Git, Proficiency with CMake, Proficiency with CI/CD pipelines, Experience leading technical projects, Experience mentoring engineers, Understanding of planning interactions, Ability to reason about system-level trade-offs, Effective communicator", "qualificationsPreferred" : "Familiarity with decision-making frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. LOCATION - Singapore Position overview We are seeking a Senior Planning Research Scientist with strong software engineering expertise to join our planning and control team. You will design, implement, and optimize advanced planning algorithms that enable autonomous vehicles to navigate complex and dynamic environments safely and efficiently. In this role, you will own both the research and engineering aspects of planning — from developing novel algorithms to delivering clean, high-performance, and reliable C++ implementations ready for deployment. You will work cross-functionally with perception, prediction, and control teams to bring robust autonomy to large-scale operations. Role responsibilities - Algorithm & System Development: Design, implement, and maintain high-performance route planning and motion planning modules in modern C++. Deliver robust, efficient, and maintainable code for real-time autonomous driving applications. - Performance Optimization: Profile and optimize planning algorithms for runtime efficiency, memory usage, and latency to meet real-time operational constraints. - System Integration: Collaborate with perception, prediction, and control teams to ensure seamless data flow and performance consistency across the autonomy pipeline. - Simulation and Testing: Implement, simulate, and validate planning algorithms in both simulation environments and real-world autonomous platforms. Conduct in-depth analysis to ensure robustness and reliability. - System Debugging & Deployment: Debug complex, multi-module systems, analyze logs and telemetry, and ensure successful deployment of planning modules in both simulated and real-world environments. - Collaboration & Mentorship: Work closely with fellow engineers and researchers, share best practices in system design, and mentor junior developers to strengthen engineering excellence within the team. Required experience - Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field. - Programming Proficiency: Strong proficiency in C++. Solid understanding of object-oriented programming, data structures, algorithms, and real-time software design. - Algorithmic Knowledge: Strong foundation in graph search, sampling-based, and optimization-based methods, and familiarity with decision-making frameworks (FSMs, behavior trees). - Experience with Optimization: Proven ability to optimize code for performance and resource constraints in real-time environments. - Software Development Experience: Hands-on experience in developing large-scale robotic or autonomous systems. Proficiency with Linux, ROS/ROS2, Git, CMake/Bazel, and CI/CD pipelines. - Leadership and Mentorship: Experience leading technical projects, mentoring engineers, and contributing to organizational growth. - System Thinking: Understanding of how planning interacts with perception, localization, and control. Ability to reason about system-level trade-offs. - Collaboration: Effective communicator who can work across disciplines and translate algorithmic concepts into software components that meet product requirements. SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!", "summaryDescription" : "Senior Planning Research Scientist at Venti Technologies. Skills: Planning algorithms, Motion planning, Route planning, C++ implementation. Design planning algorithms. Implement planning algorithms", "createdAt" : "2026-06-14T21:49:56.004", "lastUpdated" : "2026-06-16T03:08:50.249", "ingestTimestamp" : "2026-06-14T21:49:56.004", "mongoId" : "6a2c771b74d8ee00a093bc0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Graph search", "Sampling-based methods", "Optimization-based methods", "Real-time software design", "Leadership", "Planning algorithms", "Motion planning", "Route planning", "C++ implementation", "System design", "Algorithm development", "Performance optimization", "System integration", "System debugging", "Mentorship", "Autonomous vehicles", "Robotics", "Logistics systems", "Deep learning", "Real-time systems", "Linux", "ROS/ROS2", "Git", "CMake", "CI/CD pipelines" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a688574d8ee00a0634746", "title" : "New College Grad - Fab Engineer", "company" : "Micron Technology", "industry" : "Semiconductor", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Fab Engineer in Manassas, VA, adjusted for Micron Technology's size and the technology industry." }, "location" : "Manassas, VA - Fab 6", "locations" : [ "Manassas, VA - Fab 6", "United States of America" ], "timestamp" : "2026-06-13T07:57:37.073", "fingerprint" : "7b7a03d52c69f7d0f736a40a938e8d212602e1f413694d8145f9c19654a7eba0", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Manassas-VA----Fab-6/NPW-Engineer_JR102579", "externalId" : "JR102579", "industryFunction" : { }, "locationPoint" : "38.75095,-77.47527", "structuredLocations" : [ { "city" : "Manassas", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7509488,-77.4752667" } ], "locationText" : "Manassas, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SPC", "professionalSkills" : [ "Process optimization", "Risk management", "Cost reduction", "Product quality", "Process yield", "Product reliability" ], "hardSkillsList" : [ "Failure analysis", "FMEA", "8D methodology", "SPC methodology", "DOE concepts" ], "softSkillsList" : [ "Problem-solving", "Analytical skills" ], "hardSkills" : [ { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "FMEA", "level" : "intermediate" }, { "name" : "8D methodology", "level" : "intermediate" }, { "name" : "SPC methodology", "level" : "intermediate" }, { "name" : "DOE concepts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical skills" } ], "majorSkills" : "Process development, Yield improvement, Cost reduction", "majorSkillsList" : [ "Process development", "Yield improvement", "Cost reduction" ], "coreResponsibilities" : "Start up processes, Develop processes, Optimize processes, Improve product quality, Improve product reliability, Improve process yield, Reduce cost, Improve productivity, Manage risk, Resolve manufacturing line problems, Diagnose process related problems, Resolve process related problems, Coordinate process evaluation, Coordinate equipment evaluation, Coordinate material evaluation, Optimize process, Optimize equipment, Optimize material, Implement process changes, Lead yield improvement activities, Participate in yield improvement activities, Lead cost reduction activities, Participate in cost reduction activities, Handle new process baseline qualifications, Manage material suppliers, Audit material suppliers, Liaise with material suppliers, Achieve quality objectives, Achieve cost objectives, Achieve risk management objectives, Work with manufacturing Fab, Understand manufacturing issues, Identify equipment interactions, Evaluate equipment interactions, Identify module interactions, Evaluate module interactions, Identify process interactions, Evaluate process interactions, Resolve related issues, Utilize SPC methodology, Identify process variations, Resolve yield issues, Resolve reliability issues, Develop framework for process changes, Develop framework for process conversions, Initiate experiments, Manage experiments, Widen process margins, Test manufacturability, Support availability improvement projects, Focus on day-to-day tool downs, Communicate issues, Respond to issues, Manage test wafer inventories, Allocate test wafer inventories, Maintain test wafer management projects, Maintain automation setup, Maintain automation projects, Utilize micron software, Collaborate with other areas, Maintain bare wafer stocker inventories, Maintain bare wafer stocker configurations", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Semiconductor devices; Semiconductor processes; Characterization techniques; Process margins", "domainList" : [ "semiconductor-devices", "semiconductor-processes", "characterization-techniques", "process-margins" ], "domainSpecificKnowledge" : [ "Semiconductor devices", "Semiconductor processes", "Characterization techniques", "Process margins" ], "toolProficiency" : [ "Micron software" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "0 - 2 years of experience, Understanding of SPC methodology", "qualificationsPreferred" : "Understanding of semiconductor devices, Understanding of semiconductor processes, Understanding of characterization techniques, 2 years of Semiconductor process experience, CMP specific experience is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a **Fab Engineer** at Micron Technology, Inc., you will be working with a team of other process and equipment engineers responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. This position will identify, diagnose, and resolve process related problems by applying failure analysis, FMEA, 8D or SPC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives. _Responsibilities:_ * Work closely with manufacturing Fab and understand manufacturing issues * Identify and evaluate interactions between equipment, modules and processes and resolve related issues * Utilize SPC methodology to identify process variations * Resolve yield and reliability issues through multi-level SWRs using DOE concepts and develop framework for process changes and conversions * Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions – effective interaction with manufacturing on such areas. * Actively support availability improvement projects while keeping sharp focus on day-to-day tool downs issues * Communicate and respond to issues in a timely manner, with a cadence appropriate to the priority of the issue * Manage test wafer inventories and allocate necessary inventories to process areas * Maintain test wafer management projects and automation setup * Maintain the automation projects and utilize micron software to manage processes * Collaborate with other areas to maintain bare wafer stocker inventories and configurations _Minimum Qualifications:_ * Bachelor’s degree or Master of Engineering/Science with 0 - 2 years of experience * Understanding of SPC methodology _Preferred Qualifications:_ * Understanding of semiconductor devices, processes, and characterization techniques is preferred * Excellent collaboration, problem-solving, and analytical skills * 2 years of Semiconductor process or CMP specific experience is a plus As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on _[micron.com/careers/benefits](https://www.micron.com/careers/benefits)_. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your _**[right to work click here.](http://www.justice.gov/crt/worker-information)**_ To learn more about Micron, please visit** _[ micron.com/careers](https://www.micron.com/careers)_** For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at _[hrsupport_na @micron.com](mailto:hrsupport_na@micron.com)_ or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert**:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "New College Grad - Fab Engineer at Micron Technology. Skills: Process development, Yield improvement, Cost reduction. Start up processes. Develop processes", "postedDate" : "2026-06-10T16:15:10.438", "createdAt" : "2026-06-11T16:15:10.287", "lastUpdated" : "2026-06-13T07:57:37.073", "ingestTimestamp" : "2026-06-11T16:15:10.287", "mongoId" : "6a2a688574d8ee00a0634746", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Manassas-VA----Fab-6/NPW-Engineer_JR102579", "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Failure analysis", "FMEA", "8D methodology", "SPC methodology", "DOE concepts", "Problem-solving", "Analytical skills", "Process development", "Yield improvement", "Cost reduction", "Process optimization", "Risk management", "Product quality", "Process yield", "Product reliability", "Semiconductor devices", "Semiconductor processes", "Characterization techniques", "Process margins", "Micron software" ], "skillCount" : 20, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor" }, { "id" : "6a305a22f292fd229cf4d88f", "title" : "Forward Deployed Software Engineer, New Grad - Intel, US Government", "company" : "Palantir", "industry" : "Delta", "salary" : { "min" : 125000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level software engineers in Washington D.C. was adjusted for Palantir's company size and the technology industry." }, "location" : "Washington, D.C.", "locations" : [ "Washington, D.C." ], "timestamp" : "2026-06-16T12:47:43.320", "fingerprint" : "e69a47738c749b8b7ad38687965ded4de6d17a3c8b4f8cc6069987707a28841b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/palantir/fbca0358-083a-4222-bdbb-3bd729b48382/apply", "externalId" : "fbca0358-083a-4222-bdbb-3bd729b48382", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++, Java, Go, JavaScript, SQL, Bash, Linux, AWS, Azure, GCP, Docker, Kubernetes, Git, CI/CD", "professionalSkills" : [ "System design", "Problem solving", "Analytical thinking" ], "hardSkillsList" : [ "Software development", "Data analysis", "Cybersecurity", "Cloud computing", "Machine learning" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Cybersecurity", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Software engineering, Data science, Cybersecurity, Cloud engineering", "majorSkillsList" : [ "Software engineering", "Data science", "Cybersecurity", "Cloud engineering" ], "coreResponsibilities" : "Design, build, and maintain software systems, Develop and deploy machine learning models, Analyze and secure large datasets, Collaborate with cross-functional teams, Write clean, maintainable code, Participate in code reviews, Troubleshoot and debug issues, Stay up-to-date with new technologies", "teamCollaboration" : "Cross-functional teams; Agile development teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Software development; Data science; Cybersecurity; Cloud computing; Machine learning", "domainList" : [ "software-development", "data-science", "cybersecurity", "cloud-computing", "machine-learning" ], "domainSpecificKnowledge" : [ "Software development", "Data science", "Cybersecurity", "Cloud computing", "Machine learning" ], "toolProficiency" : [ "Git", "Docker", "Kubernetes", "CI/CD tools" ], "communicationSkills" : "Technical presentations; Written reports", "documentationSkills" : "Technical documentation; Code documentation", "continuousLearning" : "Professional development; Mentorship", "innovationCreativity" : "Research and development; Prototype development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "specialRequirements" : "Ability to obtain security clearance", "outcomesObjectives" : "Deliver high-quality software; Contribute to mission success; Drive innovation", "qualificationsBasic" : "Bachelor's degree or higher, Strong academic record, Completed or will complete by June 2024", "qualificationsPreferred" : "Experience with software development, Experience with data analysis, Experience with cybersecurity, Experience with cloud computing, Experience with machine learning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like \"How do we evaluate wildfire risk and optimize a power grid as a result\" or \"How do we quickly assess our food supply chain and modify it to deliver life saving assistance on time?\" As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Core Responsibilities As an FDSE your responsibilities look similar to those of a startup CTO. You’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. ## Our Principles Impact: We address meaningful and exciting projects that change the world for the better. Ownership: We see projects through from beginning to end, working through any obstacles we may encounter. We trust each other to effectively handle time and priorities and give people the space to think for themselves. Collaboration: We work internally with people from a variety of backgrounds — such as other FDSEs, product teams, and Deployment Strategists. We also work externally with our customers, often on site, to understand and tackle their problems. Growth: We believe experiential learning is one of the best teachers and encourage ourselves and our peers to seek new challenges and opportunities for growth, as well as find new ways to innovate and share knowledge. ## What We Value Ability to continuously learn, work independently, and make decisions with minimal direction. Ability to collaborate in teams of technical and non-technical individuals, and comfortable working in a constantly evolving environment with dynamic objectives and iteration with users. An eagerness to creatively solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Interest in working with and using large scale data to solve valuable business problems. Willingness and interest to travel as needed to client sites. Ability to travel 25-50% preferred, but requirements vary by team and location. ## What We Require Active Full Scope Poly level US security clearance. Engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar. ## To apply, please include the following An updated resume / CV - please do so in PDF format. Thoughtful responses to our application questions. ## Additional Information Salary The estimated salary range for this position is estimated to be $135,000 - $145,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance • Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance • Commuter benefits • Relocation assistance • Take what you need paid time off, not accrual based • 2 weeks paid time off built into the end of each year (subject to team and business needs) • 10 paid holidays throughout the calendar year • Supportive leave of absence program including time off for military service and medical events • Paid leave for new parents and subsidized back-up care for all parents • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation • Stipend to help with expenses that come with a new child • Employees can enroll in Palantir’s 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3). If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy.", "summaryDescription" : "Forward Deployed Software Engineer, New Grad - Intel, US Government at Palantir. Skills: Software engineering, Data science, Cybersecurity, Cloud engineering. Design, build, and maintain software systems. Develop and deploy machine learning models", "postedDate" : "2026-06-15T16:08:02.343", "createdAt" : "2026-06-15T16:08:02.343", "lastUpdated" : "2026-06-16T12:47:43.320", "ingestTimestamp" : "2026-06-16T03:22:06.141", "mongoId" : "6a305a22f292fd229cf4d88f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Data analysis", "Cybersecurity", "Cloud computing", "Machine learning", "Software engineering", "Data science", "Cloud engineering", "System design", "Problem solving", "Analytical thinking", "Agile", "Scrum", "Git", "Docker", "Kubernetes", "CI/CD tools" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6d1374d8ee00a091d0a9", "title" : "Experienced Alpha Research Scientist", "company" : "Edgestream", "industry" : "FinTech", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Alpha Research Scientist in Princeton, United States, adjusted for FinTech industry and company size." }, "location" : "Princeton, New Jersey, United States", "locations" : [ "Princeton", "New Jersey", "United States" ], "timestamp" : "2026-06-16T02:46:00.385", "fingerprint" : "ad57b18c60871af270bf2a5ffd1e587329ec9938d4c92e9bec4eddd108d9b2f4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.edgestreamlp.com/career?gh_jid=4625706003", "externalId" : "4625706003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Princeton", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3496953,-74.6597376" } ], "locationText" : "Princeton, New Jersey, United States", "minimumEducation" : "PhD", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Quantitative analysis", "Scientific research", "Analytical abilities", "Mathematical abilities" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Algorithm development", "Data modelling" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Quantitative modeling, Financial markets, Machine learning", "majorSkillsList" : [ "Quantitative modeling", "Financial markets", "Machine learning" ], "coreResponsibilities" : "Develop quantitative models, Trade systematically, Conduct basic research, Investigate new datasets, Build research platform, Implement trading systems, Analyze live trading systems", "teamCollaboration" : "Work together; Cooperate and share ideas", "domainKnowledge" : "Financial markets; Statistics; Information theory; Algorithms", "domainList" : [ "financial-markets", "statistics", "information-theory", "algorithms" ], "domainSpecificKnowledge" : [ "Financial markets", "Statistics", "Information theory", "Algorithms" ], "innovationCreativity" : "Creativity", "problemSolvingSkills" : "Analytical abilities; Mathematical abilities", "qualificationsBasic" : "PhD or equivalent experience, Track record of high achievement, Comfort with large data, Comfort with programming", "qualificationsPreferred" : "PhD in scientific or engineering discipline", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Experienced Alpha Research Scientist Edgestream Partners is a tight-knit team of scientists, engineers, and business professionals who devote our talents to developing quantitative models of financial markets and using them to trade systematically around the world and around the clock. Edgestream’s culture has more in common with research laboratories and technology startups than with traditional finance. We prize curiosity, creativity, diligence, and intellectual honesty. We focus on the long term, working together to build elegant and general systems that endure and scale as we grow. And we incentivize our employees to cooperate and share ideas, because we know that compounding our efforts magnifies our achievements. The result is a company where smart, dedicated effort can have a major impact. We’ve been in the business of managing hedge funds since 2003, and we’re still growing. We’re looking for talented, curious, and driven people who can grow with us in the years ahead. About the Job The Research group at Edgestream consists of highly skilled scientists and engineers, working in collaboration to unravel some of the finance’s hardest problems. Our ranks include physicists, mathematicians, biologists, machine learning experts, cryptographers, and theoretical computer scientists. We are responsible for the creation of the scientific models of market behavior which drive trading in our funds. Our investment process is fully research driven, and new members of our team quickly find that they have the opportunity to contribute directly to the company’s bottom line. Our work covers the full spectrum from basic research in statistics, information theory, and algorithms, to investigating new datasets, to building out our research platform, to implementation and analysis of live trading systems. This position will be located in either Princeton, NJ or New York, NY. Qualifications: PhD in a scientific or engineering discipline (or equivalent experience). Track record of high achievement in scientific research. Strong analytical and mathematical abilities. Comfort with large data and programming. No knowledge of finance is required. Some of the benefits of working at Edgestream: Competitive salary, bonus, and incentive compensation based on overall company performance. Fantastic resources, accumulated over decades, for turning ideas into reality. Comprehensive, first-class benefits (including excellent medical and dental insurance, 401(k), HRA, FSA, life insurance, daily catered lunch, and an onsite gym). For qualified employees, the opportunity to invest in our funds. Contact Info E-mail: careers@edgestreamlp.com. Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.", "summaryDescription" : "Experienced Alpha Research Scientist at Edgestream. Skills: Quantitative modeling, Financial markets, Machine learning. Develop quantitative models. Trade systematically", "postedDate" : "2026-06-14T18:58:59.292", "createdAt" : "2026-06-14T18:58:59.292", "lastUpdated" : "2026-06-16T02:46:00.385", "ingestTimestamp" : "2026-06-14T18:58:59.292", "mongoId" : "6a2c6d1374d8ee00a091d0a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 320000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning", "Algorithm development", "Data modelling", "Quantitative modeling", "Financial markets", "Quantitative analysis", "Scientific research", "Analytical abilities", "Mathematical abilities", "Statistics", "Information theory", "Algorithms" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30876cf292fd229c088d53", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T12:36:05.865", "fingerprint" : "0867ba40da51d162ee8ae4073923097c2ea972d8898ffbe1818eefa6d825a9fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7999719?gh_jid=7999719", "externalId" : "7999719", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : 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"rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering", "postedDate" : "2026-06-16T01:21:50.550", "createdAt" : "2026-06-16T01:21:50.550", "lastUpdated" : "2026-06-16T12:36:05.865", "ingestTimestamp" : "2026-06-16T01:21:50.550", "mongoId" : "6a30876cf292fd229c088d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", 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"certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T12:18:23.439", "fingerprint" : "5e5f2e0dc44c587b5ed49a146b58778d441dc227b991c38aa9c349a24e3dec0e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7992078?gh_jid=7992078", "externalId" : "7992078", "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", "minimumEducation" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { 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with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:21:03.300", "createdAt" : "2026-06-16T01:21:03.300", "lastUpdated" : "2026-06-16T12:18:23.439", "ingestTimestamp" : "2026-06-16T01:21:03.300", "mongoId" : "6a30876cf292fd229c088d52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Recommendation systems", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 54, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30876cf292fd229c088d54", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T11:01:28.921", "fingerprint" : "8d11c9891b3bddb75bf0d97edd72d2426d03638ef2bd2548f74347cbab4c5a94", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7999717?gh_jid=7999717", "externalId" : "7999717", "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", "minimumEducation" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement data warehousing solutions, Create and manage BI dashboards, Perform statistical analysis, Conduct quantitative research, Collaborate with engineering teams, Optimize data infrastructure", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Recommendation systems", "domainList" : [ "recommendation-systems" ], "domainSpecificKnowledge" : [ "Recommendation systems" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:21:03.139", "createdAt" : "2026-06-16T01:21:03.139", "lastUpdated" : "2026-06-16T11:01:28.921", "ingestTimestamp" : "2026-06-16T01:21:03.139", "mongoId" : "6a30876cf292fd229c088d54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Recommendation systems", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", 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"[Cambridge, MA, USA, [Cambridge, MA, USA], Cambridge, null, MA, US]", "locations" : [ "[Cambridge, MA, USA, [Cambridge, MA, USA], Cambridge, null, MA, US]", "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]", "[San Francisco, CA, USA, [San Francisco, CA, USA], San Francisco, null, CA, US]", "[Washington D.C., DC, USA, [Washington, DC, USA], Washington, null, DC, US]", "[Goleta, CA, USA, [Goleta, CA, USA], Goleta, null, CA, US]" ], "timestamp" : "2026-06-16T14:33:36.448", "fingerprint" : "5973751b0ac8da8dc912ae6993370e3eda378d1bbad667e83907dc45884b6df4", "source" : "google", "language" : "en", "externalId" : "125770850132468422", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, 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"Logistics", "salary" : { "min" : 600.0, "max" : 1500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Little Rock, AR", "locations" : [ "Little Rock", "AR" ], "certifications" : [ "CDL A" ], "timestamp" : "2026-06-15T07:18:11.410", "fingerprint" : "8b9de3a8ff2ba89c632ac53149cc47c8ea2065ac075c0330a28151145ad9b85b", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://4th-day-trucking.breezy.hr/p/10c4701c1447-cdl-a-driver-new-grad-only-get-your-career-started", "externalId" : "10c4701c1447", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Little Rock", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.7465071,-92.2896267" } ], "locationText" : "Little Rock, Arkansas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Deliver in MID WEST STATES", 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