Research Engineer Machine Learning Reinforcement Learning
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
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 advance the capabilities and safety of large language models through reinforcement learning research and engineering. You will implement novel approaches, develop agentic models for tool use and open-ended tasks, build training environments and evaluations, and optimize distributed training and evaluation infrastructure.
Requirements
- Proficiency in Python
- Experience with async or concurrent programming
- Experience with machine learning frameworks
- Industry experience in machine learning research
- Systems design skills
- Communication skills
Responsibilities
- Architect and optimize reinforcement learning infrastructure
- Design, implement, and test training environments, evaluations, and methodologies for reinforcement learning agents
- Improve performance through profiling, optimization, benchmarking, caching, and distributed-systems debugging
- Develop automated testing frameworks and clean APIs
- Build scalable infrastructure for AI research
Benefits
- Visa sponsorship
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours