About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

About the Role

As a Research Engineer within Reinforcement Learning, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models. The role blends research and engineering: implement novel approaches while contributing to research direction.

Representative Projects

• Architect and optimize core reinforcement learning infrastructure, including training abstractions and distributed experiment management across GPU clusters.
• Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents.
• Drive performance improvements through profiling, optimization, and benchmarking; implement efficient caching and debug distributed systems.
• Collaborate with r...