Checkr
Machine Learning Engineer
San Francisco, California, USA · full-time
Sponsorship not specified$168k-$198kDetected 41 days ago
PythonRubyRailsDistributed SystemsObject-Oriented ProgrammingSnowflakeCI/CDMachine LearningdbtData EngineeringNLPLLMsAgentic AIMLOpsResearchCommunication
About the role
- 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.
- This role sits on the ML team inside Checkr's Data & ML organization within Engineering.
Responsibilities
- Build and deploy ML/AI services.
- Design, develop, and ship ML models and AI systems that Product Engineering teams rely on.
- Design with LLMs and APIs.
- Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems.
- Partner with product and engineering.
- Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance.
- Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr's agentic platform.
- Equal Employment Opportunities at Checkr Checkr 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.
- you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.
Requirements
- experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs.
- experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
- You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule.
- CI/CD is how you work, not something you bolt on at the end.
Nice to have
- For more information on our compensation philosophy, see our website.
Skills
- getting a new job, a new place to live, a car ride, childcare, even a date.
- Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.
- Checkr runs millions of background checks a year.
- These are production services that Product Engineering depends on daily.
- design them, code them, deploy them, monitor them.
Compensation
- $168k-$198k
Benefits
- In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages.
- Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.
- A relocation stipend may be available for those willing to relocate to a Checkr hub location.
This listing is sourced directly from Checkr's careers page and normalized into a canonical job model.