Research Resident
Anthropic · San Francisco, CA | New York City, NY · Remote-Friendly US (Travel Required)
Frontier labremote
At a glance
Highlights
- Work on scoped AI safety project matched to your background with mentorship.
- Explore alignment, scalable oversight, robustness and interpretability research.
- Access Claude models and GPU compute for hands-on empirical experiments.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
Ambitious technical leader motivated by safe, beneficial AI who wants to transition to full-time empirical research. Thrives in fast-paced, collaborative teams and communicates clearly while moving ideas to implementation quickly.
Requirements
- Motivated by ensuring AI is safe and beneficial for society
- Excited to transition to full-time empirical AI research
- Led ambitious work as professor, technical founder or staff-level engineer
- Thrive in fast-paced, collaborative environments
- Implement ideas quickly and communicate clearly
- Experience authoring research papers in ML, NLP or AI safety
- Experience with LLMs, reinforcement learning, Kubernetes and complex shared codebases
- hiring process
- Application, recruiter screen, technical assessment, research discussion and reference check; applications close November 22, 2026, offers in January 2027.
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
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