Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic· AI Research & Engineering
Hybrid (San Francisco, CA), Hybrid (New York City, NY)$500k - $850kFull-timePosted 11mo ago
About the role
Research Engineer within Reinforcement Learning to advance capabilities and safety of large language models, blending research and engineering to implement novel approaches and contribute to research direction.
Responsibilities
- Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters.
- Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
- Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.
- Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.
Qualifications
- Proficient in Python and async/concurrent programming with frameworks like Trio
- Experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
- Industry experience in machine learning research
- Ability to balance research exploration with engineering implementation
- Enjoy pair programming
- Care about code quality, testing, and performance
- Strong systems design and communication skills
- Passionate about AI safety and beneficial systems
Skills
Required:PythonAsync/Concurrent ProgrammingMachine Learning FrameworksResearch & Engineering Balance
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space in San Francisco with collaborative environment
Last updated Jul 8, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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