Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic· AI Research & Engineering
Hybrid (London, UK)£260k - £630kFull-timePosted 8mo ago
About the role
Research Engineer role at Anthropic focusing on reinforcement learning for large language models, blending research and engineering to advance capabilities and safety, with emphasis on agentic models, tool use, and open-ended tasks.
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
- Enjoys pair programming
- Care about code quality, testing, and performance
- Strong systems design and communication skills
- Passionate about the potential impact of AI and committed to developing safe and beneficial systems
Skills
Required:PythonAsync/concurrent programmingMachine learning frameworks
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
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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