Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Deep Learning @ 3
LLM
Machine Learning
Mathematics @ 6
Pentesting @ 3
Python @ 5
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.
This page is specific to the Anthropic Fellows Workstream: AI Security.
What to expect
- 4 months of full-time research
- 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: 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (benefits 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.
Compensation
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
- 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 Security Fellows
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
- Are motivated by reducing catastrophic risks from advanced AI systems
- Have contributed to open-source projects in LLM- or security-adjacent repositories
- Have demonstrated success in bringing clarity and ownership to ambiguous technical problems
- Have experience with pentesting, vulnerability research, or other offensive security work
- Have a demonstrated willingness to do the "dirty work" that produces high-quality outputs
- Have reported CVEs or been awarded bug bounties
- Have experience with empirical ML research projects
- Have experience with deep learning frameworks and experiment management
Logistics
Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations: Designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. The program is also open to remote fellows in the UK, US, or Canada. You will be asked about your availability to work from Berkeley or London (full- or part-time) during the program.
Visa Sponsorship: Anthropic states that it is not currently able to sponsor visas for fellows. To participate, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration: 4 months, full-time. If you can't commit to the full duration, you should still apply and note your constraints in the application (case-by-case).
Work authorization / visa note
The page also clarifies that these are the Fellows program logistics, and that Anthropic’s full-time role visa sponsorship policies do not apply to the Fellows Program.