Anthropic STEM Fellow

Anthropic•San Francisco, CA

6h•Onsite

About The Position

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview We're working toward an AI scientist — a system capable of the long-horizon reasoning and experimental judgment needed to push the scientific frontier. We believe frontier AI, developed safely, can meaningfully accelerate progress across science, engineering, and beyond. Getting there requires close collaboration with people who have spent years working in these domains. The Anthropic STEM Fellows Program brings students and experts from STEM domains into Anthropic for a few months to work alongside our research teams. Fellows pair deep domain expertise with our frontier models and internal tooling to evaluate, improve, and apply Claude's capabilities in their field. We're looking for Fellows across all different science and engineering domains. Prior machine learning experience is helpful but not required — scientific judgment and a willingness to learn quickly matter more. What to Expect: A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to frontier Claude models and internal evaluation tooling A cohort of incoming Fellows to collaborate with and connection to Anthropic's broader research community What You'll Work On: Designing rigorous, hard-to-game evaluations that measure whether models can plan experiments, interpret data, and reason about mechanisms in your field, and systematically finding where they're confidently wrong. Identifying or creating data and techniques that target capability gaps. Applying Claude to open problems in your domain, by using various test-time compute strategies and integrating relevant scientific tools/software. Example projects might look like a materials scientist who finds Claude struggling to reason about phase stability, and builds a pipeline producing property prediction tasks to address this gap, or a climate scientist integrating atmospheric modeling tools and building environments that exercise them. Projects will be scoped to ship within the period of the fellowship. Ideal Candidates: Are excited about the potential for AI to accelerate scientific discovery Are familiar with using Claude and Claude Code as part of their day-to-day workflow Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results Hold (or are completing) a PhD in a STEM field, or have equivalent research experience.

Requirements

Are excited about the potential for AI to accelerate scientific discovery
Are familiar with using Claude and Claude Code as part of their day-to-day workflow
Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results
Hold (or are completing) a PhD in a STEM field, or have equivalent research experience.
Authorization to work in the US required for the duration of the program.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Responsibilities

Designing rigorous, hard-to-game evaluations that measure whether models can plan experiments, interpret data, and reason about mechanisms in your field, and systematically finding where they're confidently wrong.
Identifying or creating data and techniques that target capability gaps.
Applying Claude to open problems in your domain, by using various test-time compute strategies and integrating relevant scientific tools/software.