Anthropic04/23/2026
Research Engineer, Machine Learning (RL Velocity)
Salary not specified
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Remote-Friendly (Travel-Requ…
Responsibilities
- 01Build and improve the RL training infrastructure that researchers depend on day-to-day
- 02Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
- 03Partner closely with researchers and with adjacent engineering teams to understand pain points and ship tooling that makes them faster
- 04Own the reliability and performance of research runs end-to-end
- 05Contribute to design decisions that shape how Anthropic does RL at scale
Requirements
- 01Have strong software engineering fundamentals and a track record of building performant, reliable systems
- 02Have worked on ML infrastructure, distributed systems, or research tooling
- 03Care about enabling other people's work and find leverage through platforms rather than individual experiments
- 04Are comfortable operating across the stack, from low-level performance work to RL algorithms
- 05Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
- 06Experience with large-scale distributed training (RL, pre-training, or post-training)
- 07Familiarity with JAX, PyTorch, or similar ML frameworks
- 08A track record of operating at the edge of research and infra in a fast-moving environment
What we offer
- 01Annual Salary: $500,000 — $850,000 USD
- 02Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- 03Location-based hybrid policy: At least 25% of time in office
- 04Visa sponsorship available (with reasonable effort)
- 05Competitive compensation and benefits
- 06Optional equity donation matching
- 07Generous vacation and parental leave
- 08Flexible working hours
- 09Lovely office space for collaboration