Anthropic is seeking a Research Engineer, Machine Learning (RL Velocity) in London to own and improve the RL training infrastructure used by researchers day-to-day. You will work on core platform components that speed up experiments, reduce runtime variability, and help scale RL workflows across teams.
Collaborating with researchers and adjacent engineering groups (inference, sandboxing, and tooling), you will diagnose bottlenecks, implement robust solutions, and shape how Anthropic does RL at
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London
Anthropic is seeking a Research Engineer, Machine Learning (RL Velocity) in London to own and improve the RL training infrastructure used by…
London
The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers…
London
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.
London
About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems.
London
In this role you will help build and improve the RL training infrastructure that underpins Anthropic’s research program, removing bottlenecks and…
London
Anthropic is seeking a Research Engineer for the RL Velocity team in Greater London.
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