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Senior Machine Learning Engineer

Checkr
Location
San Francisco, California, United States
Posted
16 days ago
Department
Engineering
What they actually want (must-haves)
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
  • 6+ years building software professionally, with at least 2 years building ML systems that run in production
  • Strong Python fluency; ability to write clean, testable, well-structured code with solid OOP instincts
  • Hands-on experience using LLM APIs in production systems
  • Experience building and maintaining APIs and working with CI/CD pipelines
  • Comfort with AI-assisted workflows and experience using LLMs in production contexts
Nice to have
  • Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
  • Background in document processing, OCR, or information extraction
  • Experience with PySpark or large-scale data processing
  • Ruby experience (Checkr’s platform runs on Rails)
  • Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
What the job really is

The Senior Machine Learning Engineer at Checkr will be responsible for building and deploying AI systems that enhance the company's core products, particularly in background checks. This role involves designing ML models, writing production code, and collaborating with cross-functional teams to translate business problems into effective ML solutions. The engineer will also focus on using LLMs and APIs to optimize performance and efficiency in production environments.

Benefits
  • Learning and development allowance
  • Competitive cash and equity compensation, and opportunity for advancement
  • 100% medical, dental, and vision coverage
  • Up to $25K reimbursement for fertility, adoption, and parental planning services
  • Flexible PTO policy
  • Monthly wellness stipend
Things to weigh
  • Role requires in-office presence 3+ days a week in San Francisco or other hub locations
  • No specific mention of remote work flexibility beyond initial recruiting discussions
  • Compensation range is provided but varies by location, with a focus on geographic cost of labor
Job score3.4/5
Benefits4/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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