Anthropic
Staff Research Engineer, Multi-Agent Scaling
$500K–$850K
San Francisco, CA +5 · Staff · Full-time · Posted Oct 2, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
New York, New York, United States
San Francisco, California, United States
Seattle, Washington, United States - Experience
- Years required correlate with internal job level requirements; no specific number stated.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company will make reasonable efforts to obtain a visa after an offer.
About the job
Builds research platforms and evaluations for large agent teams, runs experiments, and investigates how team size, compute, and task length affect performance and efficiency.
What you'll do
- Design, run, and interpret large-scale experiments; identify scaling bottlenecks.
- Build reliable systems, tooling, metrics, and evaluations for large agent teams.
- Partner with research teams and communicate findings clearly.
What they ask for
- Significant software engineering, ML, or research engineering experience.
- End-to-end ownership of a substantial system, evaluation, benchmark, agent product, or research project.
- Enjoy both research and engineering; reason quantitatively and work from vague questions.
- Clear written and verbal communication.
Nice to have
- Experience with large-scale distributed systems, LLM/agent evaluations, or complex agentic systems.
- Experience with scaling laws or empirical research; background in a field modeling complex systems.
Pay
$500,000 — $850,000 USD annual salary (base salary)
Tools
LLMs, RL
AI focus
Research how large teams of AI agents scale, and build systems and evaluations to improve their performance, efficiency, and reliability.
Model-written summary · the original posting is authoritative