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Staff Software Engineer, Code RL

Anthropic· AI Research & Engineering
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$405k - $625kfull-timePosted 2mo ago

About the role

Engineering role focusing on building and maintaining APIs, frameworks, and infrastructure for reinforcement learning environments used by Anthropic's Claude coding capabilities. Rotational embedding with research teams, emphasis on reliability, scalability, and designing reusable systems.

Responsibilities

  • Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
  • Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
  • Work directly in research codebases, improving reliability and structure without slowing down the research they support
  • Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
  • Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
  • Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them

Qualifications

  • Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
  • A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
  • Experience working productively in large, evolving, or research-style codebases that you didn't originally write
  • Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
  • Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
  • Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome

Skills

Required:PythonAPI and framework designSystem design and reliabilityCommunicationAmbiguity tolerance

Benefits

  • Competitive compensation
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space in a collaborative environment
  • Optional equity donation matching
Last updated Jul 29, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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