Research Engineer Code Reinforcement Learning
AnthropicVisit Anthropic website
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Maintainer signals as of 9/23/2026
San Francisco, United States
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design coding tasks, reinforcement-learning environments, rewards, and verifiers. You will run frontier-model training experiments, diagnose model behavior, and improve the speed and reliability of training pipelines for safe, capable software-engineering work.
Requirements
- Software engineering skills
- Deep Python expertise
- Async and concurrent programming
- End-to-end systems ownership
- Debugging across the stack
- Experimental design and results interpretation
- Code quality, testing, and performance knowledge
Responsibilities
- Design reinforcement-learning environments and coding tasks
- Build reward signals and verifiers for code quality
- Run training experiments on frontier models
- Diagnose model performance on software-engineering tasks
- Improve training-pipeline speed and reliability
Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours