Research Engineer, Machine Learning (RL Velocity)

About Anthropic: creating reliable, interpretable, and steerable AI systems. The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs.

Requirements

• 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

Benefits

• Competitive compensation
• Benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours