Research Engineer, Machine Learning (RL Velocity)

Overview

Research Engineer on the RL Velocity team, responsible for the efficiency and reliability of Anthropic’s RL Science stack and core RL training platform.

What you'll do

• Build and improve RL training infrastructure used by researchers day-to-day.
• Identify and remove bottlenecks across the RL stack via debugging, profiling, and rearchitecting.
• Collaborate with researchers and adjacent engineering teams to understand pain points.
• Ship tooling that speeds up training and research workflows.
• Own the reliability and performance of research runs end-to-end.
• Contribute to design decisions for RL at scale.

What you'll need

• Strong software engineering fundamentals and a track record of building performant, reliable systems.
• Experience with ML infrastructure, distributed systems, or research tooling.
• Comfort working across the stack from low-level performance work to RL algorithms.
• Ability to operate with a bias toward shipping and iterating quickly.
• Familiarity with JAX, PyTorch, or similar ML frameworks.

Details

• Location-based hybrid policy: expect staff to be in an office at least 25% of the time.
• Visa sponsorship is available, with limitations by role and candidate.