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← Anthropic

Research Resident

Anthropic · San Francisco, CA | New York City, NY · Remote-Friendly US (Travel Required)

Frontier labremote
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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
More about Anthropic →
Apply on the lab’s site ↗

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