At a Glance
- Tasks: Conduct research to ensure AI systems are safe and beneficial for society.
- Company: Join Anthropic, a leading AI safety and security organisation.
- Benefits: Weekly stipend of £2,310, plus funding for research expenses.
- Other info: Collaborative environment with opportunities for growth and connection to the AI community.
- Why this job: Make a real impact in the AI field while working with top experts.
- Qualifications: Strong background in computer science or related fields; Python fluency required.
The predicted salary is between 92400 - 92400 £ per year.
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.
What to expect:
- 4 months of full‑time research
- Direct mentorship from Anthropic researchers
- Access to a shared workspace (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 plus benefits (vary by country)
- Funding for compute (~$15k/month) and other research expenses
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 (possible extension).
Fellows workstreams
We have multiple workstreams across teams. Candidates may apply to any workstream and can specify preferences. 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
This workstream focuses on reducing catastrophic risks from advanced AI systems. Candidates who:
- 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 experience with empirical ML research projects
- Have experience with deep learning frameworks and experiment management
Logistics
Work authorization in the US, UK, or Canada is required. Fellows will work from the designated workspace in London or Berkeley (full‑ or part‑time) or remotely within those countries. Visa sponsorship is not available for fellows. Program duration is 4 months full‑time.
AI Security Fellow employer: Anthropic
Anthropic is an exceptional employer for those passionate about AI safety and research, offering a collaborative work culture in vibrant locations like London and Berkeley. With direct mentorship from leading researchers, generous stipends, and funding for research expenses, employees are empowered to grow and contribute meaningfully to the field of AI. The company fosters a supportive environment that encourages innovation and connection within the broader AI safety community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Security Fellow
✨Tip Number 1
Network like a pro! Reach out to current or former fellows and researchers at Anthropic. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you've worked on relevant projects, make sure to discuss them in detail during interviews. Bring your portfolio or GitHub links to showcase your contributions to open-source projects or any empirical ML research.
✨Tip Number 3
Prepare for technical questions! Brush up on your Python programming and be ready to tackle some coding challenges. Practising common algorithms and data structures can help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at Anthropic and contributing to AI safety.
We think you need these skills to ace AI Security Fellow
Some tips for your application 🫡
Show Your Passion for AI Safety:When writing your application, let us know why you're excited about making AI safe and beneficial. Share any personal experiences or projects that highlight your commitment to this mission.
Tailor Your Application:Make sure to customise your application for the AI Security Fellow role. Highlight your relevant skills and experiences, especially in areas like pentesting or empirical ML research, to show us you’re a perfect fit.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use simple language to explain your technical background and how it relates to the workstreams you’re interested in.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Anthropic
✨Know Your AI Stuff
Make sure you brush up on the latest trends and challenges in AI safety and security. Be ready to discuss your understanding of catastrophic risks and how they relate to advanced AI systems. This shows you're not just interested in the role, but that you genuinely care about making AI safe for everyone.
✨Show Off Your Technical Skills
Since a strong technical background is crucial, be prepared to talk about your experience with Python programming and any relevant projects you've worked on. If you've contributed to open-source projects or have experience in pentesting or vulnerability research, make sure to highlight these during the interview.
✨Communicate Clearly
In a fast-paced, collaborative environment like Anthropic, clear communication is key. Practice explaining complex technical concepts in simple terms. This will demonstrate your ability to work well with others and ensure that your ideas are understood by all team members.
✨Be Ready for Ambiguity
Expect questions that assess how you handle ambiguous technical problems. Think of examples from your past experiences where you brought clarity and ownership to such situations. This will show that you can thrive in a dynamic environment and tackle challenges head-on.
