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Research Engineer, Machine Learning (RL Velocity)

Anthropic· AI Research & Engineering
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Hybrid (London, UK)£370k - £630kFull-timePosted 6mo ago

About the role

Research Engineer role on the RL Velocity team focused on building and improving the RL training infrastructure, improving reliability and performance, and enabling researchers to iterate quickly on training runs at scale.

Responsibilities

  • Build and improve the RL training infrastructure that researchers depend on day-to-day
  • Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
  • Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
  • Own the reliability and performance of research runs end-to-end
  • Contribute to design decisions that shape how Anthropic does RL at scale

Qualifications

  • Have strong software engineering fundamentals and a track record of building performant, reliable systems
  • Have worked on ML infrastructure, distributed systems, or research tooling
  • Care about enabling other people's work and find leverage through platforms rather than individual experiments
  • Are comfortable operating across the stack, from low-level performance work to RL algorithms
  • Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego

Skills

Required:Software engineering fundamentalsML infrastructureCross-stack collaboration

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration
Last updated Sep 16, 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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