Anthropic
Staff Software Engineer, Code RL
$405K–$625K
San Francisco, CA +3 · Staff · Full-time · Posted Jul 24, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States - Experience
- Years required correlate with internal job level; no specific number stated.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not guaranteed for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa.
About the job
Build and maintain APIs, frameworks, and infrastructure that support coding-focused reinforcement learning research and reliable production RL systems.
What you'll do
- Design and improve widely used APIs, frameworks, and research code while preserving reliability.
- Embed with research teams to build systems for their needs and transfer ownership to them.
- Improve production RL monitoring, regression detection, and triage, and help establish engineering standards.
What they ask for
- Deep expertise in Python, including static typing, safe async and concurrency patterns, and performant code.
- Track record designing intuitive, safe APIs or frameworks adopted by other engineers or teams.
- Experience working productively in large, evolving, or research-style codebases not originally written by you.
- Ability to prevent failure modes structurally through system design, type safety, and testing.
Nice to have
- Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows.
- Familiarity with reinforcement learning, agentic systems, or LLM training pipelines.
Pay
$405,000 — $625,000 USD (base salary)
Tools
Python
AI focus
Engineering infrastructure and agentic coding environments for reinforcement learning that supports Claude's coding capabilities.
Model-written summary · the original posting is authoritative