Job Description
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...