Staff Research Engineer, Discovery Team
Anthropic · San Francisco, CA · New York City, NY · Seattle, WA
CHECKED 4H AGO
Frontier labonsitestaff$350k–$850k
At a glance
Highlights
- Build an AI scientist capable of pushing the scientific frontier.
- Improve models' ability to use computers for long-horizon tasks.
- Remove bottlenecks blocking progress toward scientific AGI.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space for collaboration
Ideal candidate
An experienced ML researcher-engineer who loves iterating end-to-end on hard blockers and collaborating deeply. You care about building powerful, beneficial AI and advancing scientific discovery through long-horizon reasoning.
Requirements
- 8+ years of ML research experience
- Familiar with large-scale language model training, evaluation, and inference pipelines
- Enjoy iterating on immediate blockers towards long-term goals
- Thrive working collaboratively to solve problems
- Expertise in performance optimization and distributed computing systems
- Strong problem-solving skills and ability to identify technical bottlenecks
- Can translate research concepts into scalable engineering solutions
- Track record of shipping ML systems tackling multi-step reasoning problems
- Bachelor's degree or equivalent combination of education, training and experience
- remote policy
- Hybrid - in office at least 25% of the time; some roles may require more time in office
- visa sponsorship
- We do sponsor visas, but unable to successfully sponsor every role and candidate
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google