Research Engineer, Machine Learning (RL Velocity, AI)

Location: Remote-Friendly (Travel-Required), San Francisco, CA or New York City, NY. Expect to be in one of our offices at least 25% of the time.

Salary: $500,000 - $850,000 USD

Company

Quickly growing team building reliable, interpretable, and steerable AI systems for safety and benefit to society.

What you will do

• Build and improve RL training infrastructure used daily by researchers
• Identify and remove bottlenecks across the RL stack through debugging, profiling, and rearchitecting
• Partner with researchers and engineering teams to ship tooling that accelerates model development
• Own reliability and performance of research runs end-to-end
• Contribute to design decisions shaping large-scale RL at Anthropic

Requirements

• Bachelor’s degree or equivalent in relevant field
• Strong software engineering fundamentals with track record of performant, reliable systems
• Experience with ML infrastructure, distributed systems, or research tooling
• Comfort operating across stack from low-level performance to RL algorithms
• Bias toward quick shipping and iteration with high agency

Nice to have

• Experience with large-scale distributed training (RL, pre-training, post-training)
• Familiarity with JAX, PyTorch, or similar ML frameworks
• Track record operating at edge of research and infra in fast-moving environment

Culture & Benefits

• Competitive compensation, optional equity donation matching
• Generous vacation and parental leave, flexible working hours
• Collaborative environment with frequent research discussions
• Office spaces in San Francisco and New York for in-person collaboration
• Visa sponsorship available (with reasonable effort)