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Research Engineer, Machine Learning (Reinforcement Learning)

Anthropic is hiring a Research Engineer to join its Reinforcement Learning teams, which develop the research, infrastructure, and training methodologies behind advanced large language models. The role combines fundamental research with hand

Company

Anthropic

Location

San Francisco, CA or New York City, NY, United States

Status

Closed

Posted

2026-09-13T14:51:48.454+00:00

Anthropic's reinforcement learning teams are hiring a research engineer to combine fundamental research with hands-on engineering on large language models. The work covers agentic models that use computers, code generation, mathematical reasoning, and internal prototypes for productivity and evaluation, alongside reinforcement-learning infrastructure, distributed experiment management across GPU clusters, caching, profiling and automated testing. The posting asks for Python with asynchronous or concurrent programming, a framework such as PyTorch, TensorFlow or JAX, and industry machine-learning research experience. Formal credentials and publications are not required, and the role works with alignment and production-training teams.