Research Engineer, Machine Learning (RL Velocity)

• Join Anthropic’s RL Velocity team as a Research Engineer in London. • Own the efficiency and reliability of the reinforcement learning science stack. • Build the core platform that lets researchers iterate quickly on training runs. • Remove bottlenecks so the wider organisation can ship better models faster. • Do high-leverage work where small improvements compound across every researcher and run. • Earn £370,000–£630,000, working from the London office at least 25% of the time.

• Bring strong software engineering fundamentals and a track record of building performant, reliable systems. • Show experience with ML infrastructure, distributed systems or research tooling. • Enjoy enabling other people’s work through platforms rather than individual experiments. • Work comfortably across the stack, from low-level performance to RL algorithms. • Ship and iterate quickly, with high agency and low ego. • Hold a bachelor’s degree or an equivalent mix of education, training and experience.

• Bring experience with large-scale distributed training, including RL, pre-training or post-training. • Know JAX, PyTorch or similar ML frameworks. • Show a track record of working at the edge of research and infrastructure in a fast-moving environment.

• Build and improve the RL training infrastructure researchers rely on every day. • Find and remove bottlenecks across the RL stack through debugging, profiling and rearchitecting. • Partner with researchers and teams such as inference and sandboxing to ship tooling that speeds them up. • Own the reliability and performance of research runs end to end. • Contribute to design decisions that shape how Anthropic does RL at scale.

• Earn £370,000–£630,000 a year. • Receive visa sponsorship, supported by a retained immigration lawyer. • Enjoy generous vacation and parental leave. • Work flexible hours with a hybrid setup of at least 25% in the office. • Get optional equity donation matching. • Do high-leverage work that speeds up frontier AI research.

Anthropic is a public benefit corporation headquartered in San Francisco, with a mission to create reliable, interpretable and steerable AI systems. It works as a single cohesive team on a few large-scale research efforts, treating AI research as an empirical science. Its team includes researchers, engineers, policy experts and business leaders building AI that is safe and beneficial for society.