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Anthropic Fellows Program, AI Safety & Security

Anthropic London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA 1mo ago
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About Anthropic (Wikipedia Record):

Anthropic, PBC is an American artificial intelligence (AI) public benefit corporation headquartered in San Francisco, California. Its flagship product is Claude, a series of proprietary large language models (LLMs). In January 2021, with the goal of promoting AI safety, Anthropic was founded by former members of OpenAI, including siblings Daniela Amodei and Dario Amodei, who are president and CEO, respectively. The company is privately held but plans an initial public offering in November 2026. Valued at $965 billion in a May 2026 Series H capital raise, Anthropic is the world's most valuable AI pure play, rivaled by OpenAI.

About the Role

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><p>Applications are now open for our January cohort - <a href="https://bit.ly/afpsafety">apply here.</a></p> <h1><strong>Anthropic Fellows Program overview</strong></h1> <p>The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.</p> <p>Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a <strong>public output</strong> (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.&nbsp;We run multiple cohorts of Fellows each year and review applications on a rolling basis.</p> <h2><strong>What to expect</strong></h2> <ul> <li>4 months of full-time research&nbsp;</li> <li>Direct mentorship from Anthropic researchers&nbsp;</li> <li>Access to a shared workspace (in either Berkeley, California or London, UK)</li> <li>Connection to the broader AI safety and security research community</li> <li>Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)</li> <li>Funding for compute (~$15k/month) and other research expenses</li> </ul> <h2><strong>Interview process</strong></h2> <p>The interview process will include an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion.&nbsp;</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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.</p> <h2><strong>Compensation</strong></h2> <p>The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).</p> <h2><strong>Across the workstreams, you may be a good fit if you:</strong></h2> <ul> <li>Are motivated by making sure AI is safe and beneficial for society as a whole</li> <li>Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic</li> <li>Have a strong technical background in computer science, mathematics, or physics</li> <li>Thrive in fast-paced, collaborative environments</li> <li>Can implement ideas quickly and communicate clearly</li> </ul> <h2><strong>Strong candidates may also have:</strong></h2> <ul> <li>Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)</li> <li>Experience in areas of research or engineering related to their workstream</li> </ul> <h2><strong>Candidates must be:</strong></h2> <ul> <li>Fluent in Python programming</li> <li>Available to work full-time on the Fellows program</li> </ul> <h1><strong>AI Safety Fellows</strong></h1> <h2><strong>Mentors, research areas, &amp; past projects</strong></h2> <p>Fellows will undergo a project selection &amp; mentor matching process. Potential mentors include:</p> <ul> <li>Sam Bowman</li> <li>Sara Price</li> <li>Alex Tamkin</li> <li>Nina Panickssery</li> <li>Trenton Bricken</li> <li>Logan Graham</li> <li>Jascha Sohl-Dickstein</li> <li>Joe Benton</li> <li>Collin Burns</li> <li>Fabien Roger</li> <li&

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