Senior Machine Learning Engineer

Checkr
San Francisco
Workplace: OnsiteFull timeUSD 207,000 - 244,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Bias for action","Strong engineering craft","Ability to spot AI slop","Ownership","Cross-functional communication"]

Build and deploy production ML/AI services that power core Checkr workflows, including document processing, charge classification, entity resolution, and in-product intelligence. Own end-to-end delivery—design, code, deploy, monitor, and test—using LLM APIs and production-ready evaluation frameworks. Partner with Product Engineering and cross-functional teams to translate business problems into ML solutions and ship AI-first, scalable systems.

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FursaFursa
Checkr
Checkr
3 days ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build and deploy production ML/AI services that power core Checkr workflows, including document processing, charge classification, entity resolution, and in-product intelligence. Own end-to-end delivery—design, code, deploy, monitor, and test—using LLM APIs and production-ready evaluation frameworks. Partner with Product Engineering and cross-functional teams to translate business problems into ML solutions and ship AI-first, scalable systems.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and ship ML/AI services and models that Product Engineering relies on, including API layer, monitoring, and tests
  • •Build production systems using LLM APIs, deciding when to call an LLM, fine-tune, use classical models, or apply rules
  • •Write clean, well-structured production software with proper abstractions, error handling, and CI/CD practices
  • •Translate business problems into ML solutions and define API contracts with product engineers while aligning with non-ML partners
  • •Create evaluation frameworks, run experiments, and iterate quickly based on data-driven performance insights

Pay and Benefits

Salary: USD 207,000 - 244,000 annually
Perks:MedicalDentalVisionLearning BudgetPaid LeaveWellness StipendParental Leave

Key Requirements

  • •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, including at least 2 years building ML systems that run in production
  • •Strong Python fluency for clean, testable, well-structured production code with solid OOP instincts
  • •Hands-on experience using LLM APIs in production systems, including prompt engineering, structured outputs, function calling, cost management, and evaluation
  • •Comfort shipping production software with APIs, CI/CD pipelines, and tests that other engineers depend on
Experience:FintechLegal techHR techDocument processingOCRInformation extractionMLOpsLLMAgentic systems
Education:Bachelor's
Skills:Bias for actionStrong engineering craftAbility to spot AI slopOwnershipCross-functional communication
Languages:English
Tech Stack:PythonOpenAIAnthropicLLM APIsCopilotClaudeMLflowSageMakerVertexPySparkRubyRailsDbtSnowflakeCI/CDOOPFunction callingStructured outputsCode-generation tools

Company Brief

Checkr
Provides an automated, AI-driven background check platform for hiring, helping employers run compliant and fast background screenings, identity verification, and continuous monitoring to streamline recruitment and reduce risk.
Industry: HR Tech
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2014
WebsiteLinkedIn