Frontier AI Research Fellow (STEM)

Anthropic; San Francisco (CA); Hybrid; USD 100,000 - 167,000; Full time

Job summary

Anthropic is seeking STEM Fellows for a four-month, full-time fellowship in San Francisco to tackle grand challenges using Claude. Fellows will work in small pods, pairing deep domain expertise with frontier models and internal tools to define hard problems and test Claude on them.

Priority is given to candidates with PhD in a STEM field, strong scientific judgment, and the ability to learn quickly. The program runs Jan 12 to May 8, 2027, with in-person orientation in SF and potential remote

Qualifications

• Hands-on experience using Claude and Claude Code in your day-to-day workflow.
• Hold a PhD in a STEM field and have several years of experience (eg post-doc or faculty).
• Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results.

Responsibilities

• Setting grand challenges for your field: identifying long-horizon open problems where Claude falls short of expert judgment, and defining what real progress on them looks like.
• Building comprehensive datasets, simulations and rigorous, hard-to-game evaluations that test whether models can plan experiments, interpret data and reason about mechanisms, and systematically finding where they’re confidently wrong.
• Applying Claude to open problems in your domain, using test-time compute strategies and integrating the scientific tools and software your field relies on.

Skills

Claude experience

Independent problem solving

Communication skills

Fast-paced work style

Education

PhD in STEM field

Job description

Anthropic is seeking STEM Fellows for a four-month, full-time fellowship in San Francisco to tackle grand challenges using Claude. Fellows will work in small pods, pairing deep domain expertise with frontier models and internal tools to define hard problems and test Claude on them.

Priority is given to candidates with PhD in a STEM field, strong scientific judgment, and the ability to learn quickly. The program runs Jan 12 to May 8, 2027, with in-person orientation in SF and potential remote