The RL Velocity team at Anthropic seeks a Research Engineer to build and enhance RL training infrastructure, removing bottlenecks and improving performance. The role involves collaborating closely with researchers and engineering teams, owning the reliability of research runs, and contributing to design decisions that shape large‑scale RL at Anthropic.
Research Engineer, Machine Learning (RL Velocity) at Anthropic
Remote - Remote
More jobs at AnthropicSalary
USD 500,000 - 850,000
Requirements
Skills
- Strong software engineering fundamentals and a track record of building performant, reliable systems
- Experience working on ML infrastructure, distributed systems, or research tooling
- A bias toward shipping and iterating quickly
- Comfortable operating across the stack, from low-level performance work to RL algorithms
- A track record of operating at the edge of research and infra in a fast-moving environment
- Large-scale distributed training experience (RL, pre-training, or post-training)
- Familiarity with JAX, PyTorch, or similar ML frameworks
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Field relevant to the role as demonstrated through coursework, training, or professional experience
Responsibilities
- Build and improve the RL training infrastructure that researchers depend on day‑to‑day
- Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
- Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
- Own the reliability and performance of research runs end‑to‑end
- Contribute to design decisions that shape how Anthropic does RL at scale
Technologies
JAXPyTorchML frameworksDistributed systemsRL infrastructure
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