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Full-Stack Software Engineer, Reinforcement Learning

Anthropic· AI Research & Engineering
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San Francisco, CA, New York City, NY$300k - $405kFull-timePosted 6mo ago

About the role

Full-Stack Software Engineer role focusing on building platforms, tools, and interfaces for RL environment creation, data collection, and training observability within Anthropic's RL organization.

Responsibilities

  • Build and extend web platforms for RL environment creation, management, and quality review — including environment configuration, versioning, and validation workflows
  • Develop vendor-facing interfaces and tooling that let external partners create, submit, and iterate on training environments with minimal friction
  • Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms that surface reward signal integrity issues early
  • Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking
  • Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure
  • Build and expand scalable code data generation pipelines, producing diverse programming tasks with robust reward signals across languages and difficulty levels
  • Develop onboarding automation and documentation tooling so new vendors and internal users ramp up in hours, not weeks
  • Partner closely with RL researchers, data operations, and vendor management to translate ambiguous requirements into well-scoped, well-designed products

Qualifications

  • Have strong software engineering fundamentals and real full-stack range — you're comfortable owning a surface from database schema to frontend
  • Are proficient in Python and a modern web stack (React, TypeScript, or similar)
  • Have a track record of shipping systems that solved a hard problem, not just shipped on time
  • Operate with high agency: you identify what needs to be done and drive it forward without waiting for a ticket
  • Care about UX and can build interfaces that are intuitive for both technical researchers and non-technical labelers
  • Communicate clearly with researchers, operations teams, and engineers, and can turn vague asks into well-scoped work
  • Thrive in a fast-moving environment where Claude is your pair programmer, and the next problem is often one nobody has solved before
  • Care about Anthropic's mission to build safe, beneficial AI and want your work to contribute directly to it

Skills

Required:Software engineering fundamentalsPythonJavaScript/TypeScriptWeb platforms
Nice to have:UX for researchers and labelers

Benefits

  • Competitive compensation and benefits
  • optional equity donation matching
  • generous vacation and parental leave
  • flexible working hours
  • lovely office space
Last updated Jul 8, 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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