Anthropic
Research Engineer, Machine Learning (RL Velocity)
$500K–$850K
Remote-Friendly (Travel-Required) +3 · Remote · Full-time · Posted Apr 23, 2026
- Location
- Remote-Friendly (Travel-Required)
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; required field of study: a 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 and provides an immigration lawyer.
About the job
Build and improve the infrastructure, tooling, and systems that help researchers run reliable, performant RL training experiments and iterate faster.
What you'll do
- Build and improve RL training infrastructure and research tooling.
- Debug, profile, and remove bottlenecks across the RL stack; own run reliability and performance.
- Collaborate with researchers and engineering teams on tools and design decisions for RL at scale.
What they ask for
- Strong software engineering fundamentals and a track record of building performant, reliable systems.
- Experience with ML infrastructure, distributed systems, or research tooling.
- Comfort operating across the stack, including low-level performance work and RL algorithms.
Nice to have
- Experience with large-scale distributed training (RL, pre-training, or post-training).
- Familiarity with JAX, PyTorch, or similar ML frameworks.
Pay
$500,000 — $850,000 USD (base salary)
Tools
JAX, PyTorch
AI focus
Develop RL training infrastructure and tooling that supports research and enables faster iteration on AI models.
Model-written summary · the original posting is authoritative