Anthropic
Technical Program Manager, RL Research
$365K–$435K
San Francisco, CA +2 · Manager · Full-time · Posted Aug 5, 2026
- Location
- San Francisco, CA
New York City, NY
San Francisco, California, United States - Experience
- Years of experience required will correlate with the internal job level requirements for the position.
- Education
- 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.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa.
About the job
Own the systems and processes that help the reinforcement learning research team assess experiments, prioritize work, and make timely decisions for production RL runs.
What you'll do
- Report on RL research performance, experiment results, operational health, and incidents.
- Coordinate experiment prioritization and lead research reviews from agenda-setting through decision follow-up.
- Build research processes and collaborate across research, infrastructure, and data operations to resolve blockers and make technical trade-offs.
What they ask for
- Background in ML engineering or ML research before transitioning to technical program management.
- Deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
- Track record building execution plans and high-leverage processes that reduce operational overhead.
- Excellent stakeholder management and communication skills, including influencing senior technical staff.
Pay
$365,000 — $435,000 USD (base salary)
Tools
ML training pipelines, RLHF systems, large-scale data infrastructure
AI focus
Coordinate reinforcement learning research and production runs, advancing RL capabilities in AI systems.
Model-written summary · the original posting is authoritative