Research Engineer, Machine Learning (RL Velocity)

• Join the RL Velocity team owning the efficiency and reliability of Anthropic's RL Science stack, the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. • Do high-leverage work where small improvements to velocity compound across every researcher and every run, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. • Build and improve the core platform that underpins how Anthropic does RL at scale.

• 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. • Be 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.

• Have experience with large-scale distributed training covering RL, pre-training, or post-training. • Have familiarity with JAX, PyTorch, or similar ML frameworks. • Have a track record of operating at the edge of research and infra in a fast-moving environment.

• Build and improve the RL training infrastructure that researchers depend on day to day. • Identify and remove bottlenecks across the RL stack through debugging, profiling, and rearchitecting where needed. • Partner closely with researchers and adjacent engineering teams including inference and sandboxing 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.

• Receive an annual salary of £370k–£630k GBP. • Work from the London office with a hybrid policy requiring at least 25% office time. • Receive visa sponsorship with every reasonable effort made and an immigration lawyer retained to help. • Receive competitive compensation and benefits with optional equity donation matching. • Receive generous vacation and parental leave. • Enjoy flexible working hours.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is a public benefit corporation headquartered in San Francisco with offices in London.