At a Glance
- Tasks: Conduct impactful research on AI's economic effects and contribute to innovative projects.
- Company: Join Anthropic, a leader in creating safe and beneficial AI systems.
- Benefits: Receive a competitive stipend, research funding, and mentorship from industry experts.
- Other info: Collaborative environment with opportunities for career growth and networking.
- Why this job: Make a real difference in AI safety while gaining valuable research experience.
- Qualifications: Strong background in computer science, mathematics, or physics; fluent in Python.
The predicted salary is between 9240 - 9240 £ 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.
Anthropic Fellows Program
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.
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 + 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).
Workstreams
Due to the success of the Fellows program, we are expanding it across teams at Anthropic. We consider candidates for all workstreams by default. A brief overview follows.
General Eligibility
- If you are motivated by making AI safe and beneficial for society
- If you are excited to transition into empirical AI research and would be interested in a full‑time role at Anthropic
- Strong technical background in computer science, mathematics, or physics
- Thriving in fast‑paced, collaborative environments
- Can implement ideas quickly and communicate clearly
Strong Candidates May Also Have
- Background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, cybersecurity)
- Experience in research or engineering related to their workstream
Must Be
- Fluent in Python programming
- Available to work full‑time on the Fellows program
Economics Fellows
Potential research areas and mentors include:
- Designing and conducting empirical research on AI's economic effects using external data
- Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society
Ideal candidate traits:
- Interest in economics or societal impact research; prior experience a plus but not required
- Adaptable and collaborative, able to follow direction and contribute to team priorities
- Skilled at writing up and communicating results, even when null or unexpected
- Passionate about translating research insights into actionable recommendations for improving AI systems and informing policy
Logistics
- Work authorization required in the US, UK, or Canada and be located in that country during the program
- Shared workspaces available in London and Berkeley; remote work possible for UK, US, or Canada participants
- Visa sponsorship not available; must have or independently obtain full‑time work authorization in UK, US, or Canada
- Program runs for 4 months, full‑time; request for shorter duration considered case by case
Anthropic Fellows Program, The Anthropic Institute (Economics & Policy) employer: Anthropic
At Anthropic, we are dedicated to fostering a collaborative and innovative work culture that empowers our fellows to contribute meaningfully to the field of AI safety and policy. With direct mentorship from leading researchers and access to a vibrant workspace in either Berkeley or London, our fellows benefit from a supportive environment that encourages professional growth and impactful research. The generous stipend and funding for research expenses further enhance the experience, making Anthropic an exceptional employer for those passionate about shaping the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Anthropic will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Anthropic
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Anthropic.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Anthropic that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
