{"schemaVersion":"jobsearcher.job.v1","id":"c3bd88148c3b14166d82bfc5","url":"https://jobsearcher.com/jobs/c3bd88148c3b14166d82bfc5","canonicalUrl":"https://jobsearcher.com/jobs/c3bd88148c3b14166d82bfc5","title":"Senior Engineering Manager, Machine Learning","description":"About Checkr\nCheckr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.\n\nWe're a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.\n\nWe are hiring a Senior Engineering Manager to lead the Machine Learning Engineering team inside Checkr's Data & ML organization. This team sits at the heart of our product's strategic advantage, making millions of background checks faster, more accurate, and more trustworthy.\n\nThe team owns three connected areas:\n\nCore product intelligence: NLP and classification systems, entity resolution, profile integrity, model accuracy, and the production services that power Checkr's products.\nWorkforce integrity: resume and identity fraud, multi-signal risk detection, and new products that help customers identify sophisticated hiring fraud\nML and agent infrastructure: evaluation systems, observability, model lifecycle, agent orchestration, and reusable infrastructure that helps every team ship reliable AI faster.\n\nThis is an engineering leadership role, not a research-management role: you will lead ML engineers across seniority levels, stay close enough to the work to set technical direction, and hold the team accountable for production outcomes. You will decide where ML should continue to create a strategic advantage for Checkr.\n\nYou will also shape Checkr's broader AI strategy. The near-term agenda includes building a measurable accuracy moat in our core products, launching an end-to-end workforce-integrity product, and creating the evaluation and knowledge infrastructure required to operate AI agents in a regulated domain. This role reports to the Sr. Director of Data & ML within Engineering. This role is based in San Francisco. We are looking for someone who is seeking less process and more shipping, less paperwork and more results.\n\nWhat you'll do\n\nLead and grow the ML Engineering team. Hire, coach, and develop ML engineers. Set clear ownership, grow technical leaders, and build a team that generates its own roadmap.\nSet the strategy and roadmap. Turn ambiguous company priorities into a focused, multi-quarter ML agenda. Put investment on work that improves customer outcomes, revenue, accuracy, reliability, or cost. Stop work that does not.\nRaise the production engineering bar. Models and agents ship as dependable software: clear APIs, tests, CI/CD, observability, on-call ownership, and defined reliability targets.\nBuild the ML operating model. Establish shared approaches to evaluation, golden sets, training-data provenance, model and prompt versioning, monitoring, retraining, latency, and cost. Replace artisanal evaluation with repeatable systems.\nAdvance core product intelligence. Guide systems for classification, information extraction, entity resolution, profile integrity, and accuracy. Make model quality measurable in production and drive the feedback loops that improve it.\nLaunch new AI and fraud products. Partner with Product, Security, Operations, and go-to-market teams to turn signals across identity, resume, device, and employment data into customer products.\nLead Checkr's agentic transition. Guide the design of AI systems that combine specialized models, LLMs, tools, and governed knowledge.\nOperate as an executive partner. Explain technical choices and risks in plain language. Align Product Engineering, Product, Operations, Legal, Security, and company leadership when incentives or constraints conflict.\nModel AI-native leadership. Use AI to increase the team's speed and ambition. Keep ownership of every output. As generated code becomes cheaper, raise the bar on judgment, verification, and system design.\n\nWhat you bring\n\n10+ years building software and machine learning or AI systems, with a clear progression in scope and impact.\n3+ years managing ML or software engineers, including hiring and developing senior and staff-level technical leaders.\nA strong software-engineering foundation and a record of shipping ML systems that run in production.\nTechnical depth across the ML lifecycle: data and labeling, experimentation, model selection, deployment, APIs, CI/CD, observability, evaluation, retraining, and incident response.\nSound judgment across classical ML, deep learning, LLMs, rules, and conventional software.\nExperience setting direction for NLP, classification, extraction, entity resolution, risk, fraud, recommendation, or similarly complex applied-ML domains.\nFluency with modern LLM systems, including structured outputs, tool use, agent orchestration, retrieval, evaluation, latency, quality, and cost trade-offs.\nA record of translating an ambiguous business problem into a sharp roadmap, measurable outcomes, and shipped systems.\nStrong people leadership. You create leverage through clear ownership, candid feedback, delegation, and coaching.\nExecutive-level communication and cross-functional influence. You can make a hard technical trade-off legible to senior leaders and leave the room with a decision.\nYou use modern AI tools to move faster, verify their output, and can spot plausible-looking work that should not ship.\nAn A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.\n\nNice to have\n\nBuilt ML infrastructure or MLOps platforms used by multiple teams.\nDocument intelligence, OCR, graph systems, identity resolution, trust and safety, fraud, or risk.\nOperated ML in a compliance-sensitive domain such as fintech, legal tech, HR tech, healthcare, or security.\nPython, AWS/SageMaker or similar cloud ML platforms, Snowflake, Spark, and modern data tooling.\nLaunched a new AI product from early customer discovery through production scale.\n\n#LI-TD1\n\nWhat We Offer\n\nA fast-paced and collaborative environment\nLearning and development allowance\nCompetitive cash and equity compensation, and opportunity for advancement\n100% medical, dental, and vision coverage\nUp to $25K reimbursement for fertility, adoption, and parental planning services\nFlexible PTO policy\nMonthly wellness stipend\n\nAt Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.\n\nEqual Employment Opportunities at Checkr\nCheckr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco's Fair Chance Ordinance.\n\nApplicant Privacy Policy\nIf you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process.\n\n*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com).","company":"Checkr","rawCompany":"checkr","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-10T09:42:45.038Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Engineering Manager, Machine Learning","description":"About Checkr\nCheckr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.\n\nWe're a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.\n\nWe are hiring a Senior Engineering Manager to lead the Machine Learning Engineering team inside Checkr's Data & ML organization. This team sits at the heart of our product's strategic advantage, making millions of background checks faster, more accurate, and more trustworthy.\n\nThe team owns three connected areas:\n\nCore product intelligence: NLP and classification systems, entity resolution, profile integrity, model accuracy, and the production services that power Checkr's products.\nWorkforce integrity: resume and identity fraud, multi-signal risk detection, and new products that help customers identify sophisticated hiring fraud\nML and agent infrastructure: evaluation systems, observability, model lifecycle, agent orchestration, and reusable infrastructure that helps every team ship reliable AI faster.\n\nThis is an engineering leadership role, not a research-management role: you will lead ML engineers across seniority levels, stay close enough to the work to set technical direction, and hold the team accountable for production outcomes. You will decide where ML should continue to create a strategic advantage for Checkr.\n\nYou will also shape Checkr's broader AI strategy. The near-term agenda includes building a measurable accuracy moat in our core products, launching an end-to-end workforce-integrity product, and creating the evaluation and knowledge infrastructure required to operate AI agents in a regulated domain. This role reports to the Sr. Director of Data & ML within Engineering. This role is based in San Francisco. We are looking for someone who is seeking less process and more shipping, less paperwork and more results.\n\nWhat you'll do\n\nLead and grow the ML Engineering team. Hire, coach, and develop ML engineers. Set clear ownership, grow technical leaders, and build a team that generates its own roadmap.\nSet the strategy and roadmap. Turn ambiguous company priorities into a focused, multi-quarter ML agenda. Put investment on work that improves customer outcomes, revenue, accuracy, reliability, or cost. Stop work that does not.\nRaise the production engineering bar. Models and agents ship as dependable software: clear APIs, tests, CI/CD, observability, on-call ownership, and defined reliability targets.\nBuild the ML operating model. Establish shared approaches to evaluation, golden sets, training-data provenance, model and prompt versioning, monitoring, retraining, latency, and cost. Replace artisanal evaluation with repeatable systems.\nAdvance core product intelligence. Guide systems for classification, information extraction, entity resolution, profile integrity, and accuracy. Make model quality measurable in production and drive the feedback loops that improve it.\nLaunch new AI and fraud products. Partner with Product, Security, Operations, and go-to-market teams to turn signals across identity, resume, device, and employment data into customer products.\nLead Checkr's agentic transition. Guide the design of AI systems that combine specialized models, LLMs, tools, and governed knowledge.\nOperate as an executive partner. Explain technical choices and risks in plain language. Align Product Engineering, Product, Operations, Legal, Security, and company leadership when incentives or constraints conflict.\nModel AI-native leadership. Use AI to increase the team's speed and ambition. Keep ownership of every output. As generated code becomes cheaper, raise the bar on judgment, verification, and system design.\n\nWhat you bring\n\n10+ years building software and machine learning or AI systems, with a clear progression in scope and impact.\n3+ years managing ML or software engineers, including hiring and developing senior and staff-level technical leaders.\nA strong software-engineering foundation and a record of shipping ML systems that run in production.\nTechnical depth across the ML lifecycle: data and labeling, experimentation, model selection, deployment, APIs, CI/CD, observability, evaluation, retraining, and incident response.\nSound judgment across classical ML, deep learning, LLMs, rules, and conventional software.\nExperience setting direction for NLP, classification, extraction, entity resolution, risk, fraud, recommendation, or similarly complex applied-ML domains.\nFluency with modern LLM systems, including structured outputs, tool use, agent orchestration, retrieval, evaluation, latency, quality, and cost trade-offs.\nA record of translating an ambiguous business problem into a sharp roadmap, measurable outcomes, and shipped systems.\nStrong people leadership. You create leverage through clear ownership, candid feedback, delegation, and coaching.\nExecutive-level communication and cross-functional influence. You can make a hard technical trade-off legible to senior leaders and leave the room with a decision.\nYou use modern AI tools to move faster, verify their output, and can spot plausible-looking work that should not ship.\nAn A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.\n\nNice to have\n\nBuilt ML infrastructure or MLOps platforms used by multiple teams.\nDocument intelligence, OCR, graph systems, identity resolution, trust and safety, fraud, or risk.\nOperated ML in a compliance-sensitive domain such as fintech, legal tech, HR tech, healthcare, or security.\nPython, AWS/SageMaker or similar cloud ML platforms, Snowflake, Spark, and modern data tooling.\nLaunched a new AI product from early customer discovery through production scale.\n\n#LI-TD1\n\nWhat We Offer\n\nA fast-paced and collaborative environment\nLearning and development allowance\nCompetitive cash and equity compensation, and opportunity for advancement\n100% medical, dental, and vision coverage\nUp to $25K reimbursement for fertility, adoption, and parental planning services\nFlexible PTO policy\nMonthly wellness stipend\n\nAt Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.\n\nEqual Employment Opportunities at Checkr\nCheckr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco's Fair Chance Ordinance.\n\nApplicant Privacy Policy\nIf you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process.\n\n*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com).","datePosted":"2026-09-10T09:42:45.038Z","dateModified":"2026-09-10T09:42:45.038Z","hiringOrganization":{"@type":"Organization","name":"Checkr","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c3bd88148c3b14166d82bfc5"},"url":"https://jobsearcher.com/jobs/c3bd88148c3b14166d82bfc5"}}