Anthropic
Staff Research Engineer, Discovery Team
$350K–$850K
San Francisco, CA +3 · Staff · Full-time · Posted Apr 22, 2025
- Location
- San Francisco, CA
New York, New York, United States
San Francisco, California, United States
Seattle, Washington, United States - Experience
- 8+ years of ML research experience. The logistics section says required years correlate with internal job-level requirements.
- 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
Build and scale research engineering systems that advance AI capabilities for scientific discovery, long-horizon reasoning, and computer use.
What you'll do
- Identify and remove full-stack bottlenecks to scientific AGI; scale research ideas from prototype to production.
- Develop approaches for long-horizon tasks and complex reasoning, and create benchmarks to evaluate scientific workflows and computer use.
- Implement distributed training systems and performance optimizations for large-scale model development.
What they ask for
- 8+ years of ML research experience.
- Familiarity with large-scale language model training, evaluation, and inference pipelines.
- Expertise in performance optimization and distributed computing systems.
- Track record shipping ML systems for challenging multi-step reasoning problems.
Nice to have
- Experience with computer-use automation, agentic AI, or reinforcement learning for complex task completion.
- Experience with Docker or Kubernetes, cloud deployment, VM/sandboxing/container deployment, or large-scale data processing.
Pay
$350,000 — $850,000 USD (base salary)
Tools
Docker, Kubernetes
AI focus
Develop AI systems for scientific discovery, long-horizon reasoning, computer use, and scientific workflows; work includes model training, evaluation, inference, and agentic AI.
Model-written summary · the original posting is authoritative