Senior Machine Learning Engineer at Checkr | CA, US | Rezi

Senior Machine Learning Engineer at Checkr

Senior Machine Learning Engineer

Checkr · CA, US

4 days ago

Senior Machine Learning Engineer

Checkr · CA, US

4 days ago
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About the Role

We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering. You will own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. You will partner daily with Product Engineering, Product, and cross-functional teams, and contribute to Checkr’s broader AI strategy.

Responsibilities

  • Build and deploy ML/AI services.
  • Design, develop, and ship ML models and AI systems that Product Engineering teams rely on.
  • Write model code, API layer, monitoring, and tests for production services.
  • Design with LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems.
  • Ship production software with clean, well-structured code, solid OOP, proper abstractions, error handling, and tests.
  • Utilize CI/CD as a standard workflow.
  • Partner with product and engineering teams to translate business problems into ML solutions.
  • Define API contracts with product engineers.
  • Explain ML approaches clearly to non-ML partners.
  • Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance.
  • Ship and iterate on ML solutions rapidly.
  • Ship AI-powered workflows by automating pipelines and building agentic workflows.
  • Contribute reusable skills and context to Checkr’s agentic platform.
  • Operate AI-first within teams.

Requirements

  • A 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 of those building ML systems that run in production
  • Strong Python fluency; write clean, testable, well-structured code with solid OOP instincts.
  • Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
  • Experience building and maintaining APIs.
  • Experience working with CI/CD pipelines.
  • Experience shipping code that other engineers depend on.
  • Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal.
  • Ability to use AI tools (Copilot, Claude, etc.) to move faster and understand every line of generated code.
  • Ability to spot AI slop and not ship it.
  • An A-player mindset with a strong bias for action: raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Skills

  • Python
  • Object-Oriented Programming (OOP)
  • LLM APIs
  • Prompt Engineering
  • Structured Outputs
  • Function Calling
  • Cost Management
  • Evaluation
  • API Development
  • CI/CD
  • AI-assisted workflows
  • LLMs
  • Code-generation tools
  • Agentic systems

Location

  • San Francisco, CA

Work Type

  • Onsite (3+ days a week)

Experience Level

  • 6+ years of professional software building experience
  • 2+ years of experience building ML systems in production

Education Level

  • Bachelor's or Master's degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience

Salary/Compensations

  • $207,000—$244,000 USD

Benefits

  • Learning and development allowance
  • Competitive cash and equity compensation
  • 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
  • In-office perks: lunch five times a week, commuter stipend, snacks and beverages
  • Relocation stipend may be available

About the Company

  • 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.
  • Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.
  • Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.

Equal Opportunity

  • 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.
  • 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.