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Anthropic Fellows Program, AI Safety & Security at Anthropic

Confirmed open

Anthropic is hiring a anthropic fellows program, ai safety & security focused on AI safety and security research.

Anthropic logoAnthropic
Location
Remote
Advertised region
London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA / British Columbia, Canada / London, England, United Kingdom / Ontario, Canada / San Francisco, California, United States
Work arrangement
remote
Technologies
Python

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Role overview

The below are Anthropic's policies for full-time roles. These do NOT apply to the Fellows Program.

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Responsibilities

  • Deliver technical work or research for AI safety and security research.
  • Collaborate with product, engineering, security and business stakeholders.
  • Improve reliability, testing, documentation and operational quality.
  • Translate complex technical requirements into maintainable outcomes.

Qualifications

  • 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.
  • Direct mentorship from Anthropic researchers
  • Access to a shared workspace (in either Berkeley, California or London, UK)
  • Connection to the broader AI safety and security research community
  • Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
  • Funding for compute (~$15k/month) and other research expenses
  • The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.
  • 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.
  • 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).
  • 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:

Technology in this role

  • Python: • Fluent in Python .
  • Go: In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other .
  • LLM: • Have contributed to open-source projects in LLM- or security-adjacent .
  • large language models: • Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety .
  • CAN: 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 .

Benefits

  • Location and remote arrangement as stated in the official posting.
  • Opportunity to work on security, AI or enterprise technology products.

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 - apply here.

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.

Direct mentorship from Anthropic researchers

Access to a shared workspace (in either Berkeley, California or London, UK)

Connection to the broader AI safety and security research community

Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)

Funding for compute (~$15k/month) and other research expenses

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

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.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-09

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