Research Engineer, Machine Learning (RL Velocity)

Anthropic is a public benefit corporation dedicated to creating reliable and interpretable AI systems. They are seeking a Research Engineer for their RL Velocity team to enhance the efficiency and reliability of their RL Science stack, focusing on improving training infrastructure and addressing bottlenecks in research processes.

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