Anthropic Fellows Program, AI Safety & Security

Academic Key; Greater London; On-site; GBP 139,000 - 174,000; Full time

Benefits offered by this job

Workspace access (Bay Area / Toronto /

London workspace access

Job summary

Anthropic invites applicants to join the Fellows Program in London for four months of full-time research. Fellows will receive mentorship from Anthropic researchers, access to a shared workspace, and a weekly stipend with country-specific values, plus funding for compute and research expenses.

Applicants should be fluent in Python, fully commit to a full-time fellowship, and identify as AI Safety Fellows. The program supports empirical AI research with tangible public outputs and collaboration

Qualifications

• Fluent in Python programming.
• Available to work full-time on the Fellows program.
• AI Safety Fellows.

Responsibilities

• Fellows will work on empirically-driven AI research projects aligned with Anthropic's priorities.
• Produce a public output (e.g., a paper submission) from your work.
• Utilize external infrastructure and public APIs to conduct research.

Skills

Python programming

Job description

Anthropic Fellows Program, AI Safety & Security

anthropic · London

Abroad

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.

Applications are now open for our January cohort by October 30.

Anthropic Fellows Program overview

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. 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 public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.

What to expect

• 4 months of full-time research
• Direct mentorship from Anthropic researchers
• Access to a shared workspace (in either Bay Area, California, Toronto, Canada, or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 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.

Compensation

The expected base stipend for this role is 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR per week, with an expectation of 40 hours per week for 4 months (with possible extension). Across the workstreams, you may be a good fit if you: Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic Have a strong technical background in computer science, mathematics, or physics Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also have: Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity) Experience in areas of research or engineering related to their workstream

Candidates must be

• Fluent in Python programming
• Available to work full-time on the Fellows program
• AI Safety Fellows

Potential mentors

• Sam Bowman
• Sara Price
• Alex Tamkin
• Nina Panickssery
• Trenton Bricken
• Logan Graham
• Jascha Sohl-Dickstein
• Joe Benton
• Collin Burns
• Fabien Roger
• Samuel Marks
• Kyle Fish
• Ethan Perez

Research areas

• Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
• Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
• Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.
• Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
• AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.

Past projects

• Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data: Alex Cloud and Minh Le, et al., mentors including Samuel Marks and Owain Evans
• Open-source circuits: Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey

Academic Key will never request login credentials or application fees for this role.