Anthropic STEM Fellow
Job Overview
About Anthropic
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:
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A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
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Access to frontier Claude models and internal evaluation tooling
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A cohort of incoming Fellows to collaborate with and connection to Anthropic's broader research community
What You'll Work On:
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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.
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Identifying or creating data and techniques that target capability gaps.
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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:
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Are excited about the potential for AI to accelerate scientific discovery
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Are familiar with using Claude and Claude Code as part of their day-to-day workflow
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Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results
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Hold (or are completing) a PhD in a STEM field, or have equivalent research experience.
Application Process
Candidates will need to progress through the following stages:
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Submit an application
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Complete an initial technical assessment
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Complete a take-home exercise
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Chat with a mentor about research and potential project directions
We will accept applications until May 15 and plan to have final decisions by June 1.
Logistics:
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Duration: The program will start June 15 and last until September 15; some fellowships may be considered for an extension.
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Location: In-person at our San Francisco office.
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Commitment: Full-time role for the duration of the program.
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Compensation: Weekly stipend of ~$3,800, access to our offices, and other benefits.
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Authorization to work in the US required for the duration of the program.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
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
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process