Research Engineer, Machine Learning (Reinforcement Learning)

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...