[ research ]
Research Engineer, Code Rl (reinforcement Learning)
Anthropic- Location
- San Francisco, California | New York City, New York
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Anthropic. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Research Engineer on the Code RL team at Anthropic. This role focuses on advancing AI models' capabilities in writing, editing, testing, debugging, and shipping real software using real codebases and tools. The position involves designing RL environments, coding tasks, and reward signals, as well as running training experiments.
Skills and focus areas
- reinforcement learning
- code generation
- large language models
- scalable infrastructure
- training methodologies
- model reasoning
- software development
- debugging
- testing
Summary written by Ramai from the original posting. Full details and requirements are on Anthropic’s careers page.
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