Checkr
Technology
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Machine Learning Engineer at Checkr. Skills: Machine Learning, LLM APIs, Production software, System design. Build and ship AI systems. Design with LLMs”
What You'll Achieve.
Advance our mission; Ship production software; Deliver meaningful outcomes
Industry & Context.
Solve complex problems; Data-driven decisions
Work from office 3+ days
What They're Looking For.
Must Have
Bachelor's or Master's degree, 4+ years building software, 2+ years building ML systems, Python code, Hands-on LLM APIs, Built and maintained APIs, Worked with CI/CD pipelines, Shipped code other engineers depend on, Comfortable with distributed systems, Explain technical decisions clearly
Nice to Have
MLOps platforms experience, Document processing experience, OCR experience, Information extraction experience, PySpark experience, Large-scale data processing experience, Ruby experience, Compliance-sensitive domains familiarity, dbt knowledge, Snowflake knowledge, Modern ELT knowledge, Data transformation tools knowledge
What You'll Do.
Build and ship AI systems
Write structured code
Implement abstractions
Implement error handling
Translate business problems
Explain approach clearly
Build evaluation frameworks
Make data-driven decisions
Ship AI-powered workflows
Build agentic workflows
Contribute reusable skills
How You'll Work.
Team & Collaboration
Partner with product; Partner with engineering; Explain to non-ML partners; Cross-functional teams
Communication Scope
Explain technical decisions
Process & Methodology
CI/CD
Full Job Description
About Checkr Checkr 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, Amazon, and Anthropic. We’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. About the team/role We’re hiring an ML Engineer (P2) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data production services. Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together. Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end. Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion. Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect. Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first. What you bring A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field,
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