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Research Engineer, Machine Learning (RL Velocity)

Anthropic· AI Research & Engineering
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Hybrid (Remote-friendly (Travel-Required); SF; NYC)$500k - $850kFull-timePosted 6mo ago

About the role

Research Engineer on the RL Velocity team focused on building and improving the core RL training infrastructure, tooling, and systems to accelerate research at Anthropic. Role emphasizes removing bottlenecks, partnering with researchers and adjacent engineering teams, and ensuring reliability and performance of research 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

  • Strong software engineering fundamentals and a track record of building performant, reliable systems
  • Experience with ML infrastructure, distributed systems, or research tooling
  • Interest in enabling others' work and leveraging platforms over individual experiments
  • Comfort operating across the stack, from low-level performance work to RL algorithms
  • Bias toward shipping and iterating quickly, with high agency and low ego

Skills

Required:Software engineeringML infrastructure
Nice to have:Platform thinking

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
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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