Anthropic
Staff+ Research Scientist, Multi-Agent
$500K–$850K
San Francisco, CA +5 · Staff · Full-time · Posted Apr 22, 2024
- 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 the internal job level requirements; 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; the company will make every reasonable effort to obtain a visa after an offer.
About the job
Research and develop training methods, agent configurations, and benchmarks to improve the performance, coordination, and safety of large-scale multi-agent AI systems.
What you'll do
- Create and optimize training environments and data for agentic tasks.
- Develop and compare agent harness configurations, including memory, context management, and communication architectures.
- Design quantitative benchmarks for large-scale agent tasks and collaborate with product teams on agent applications.
What they ask for
- Experience with large-scale reinforcement learning on language models.
- Experience training multi-agent systems.
- Strong communication skills and interest in collaborative research.
Pay
$500,000 — $850,000 USD annual base salary
AI focus
Train and evaluate multi-agent AI systems, develop reinforcement learning environments and agent capabilities, and improve their effectiveness and safety.
Model-written summary · the original posting is authoritative