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Research Engineer, RL Engineering

Anthropic· AI Research & Engineering
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$500k - $850kFull-timePosted 11mo ago

About the role

Role focused on building and owning Anthropic's core RL training system, enabling scalable RL for production and research runs, and collaborating across teams to improve RL training at scale.

Responsibilities

  • Build, own, and improve the core RL training system that serves Anthropic's production and research runs
  • Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it
  • Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic
  • Implement new training methods as stable, fast, well-tested code
  • Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking
  • Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing
  • Debug hard problems across the stack, from drifted runs to distributed systems failures at scale
  • Communicate results clearly, in writing and in discussion

Qualifications

  • Proficiency in Python and experience working in, debugging, and improving a large ML codebase
  • Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it
  • Experience with at least one modern ML framework (JAX, PyTorch, or similar)
  • Ability to design controlled experiments and reach conclusions you and others can trust
  • Ability to balance research exploration with engineering implementation
  • Strong written and verbal communication skills
  • Care about the societal impacts of your work and are committed to developing safe and beneficial systems

Skills

Required:PythonLarge-scale ML trainingML frameworkExperiment designCommunicationSocietal impact awareness
Last updated Oct 7, 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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