At a Glance
- Tasks: Conduct cutting-edge AI research and work on impactful projects in reinforcement learning.
- Company: Join Anthropic, a leader in creating safe and beneficial AI systems.
- Benefits: Receive a competitive stipend, funding for research, and access to mentorship.
- Other info: Work remotely or in shared spaces in London or Berkeley with excellent career growth opportunities.
- Why this job: Make a real difference in AI safety while developing your skills in a collaborative environment.
- Qualifications: Strong background in computer science or related fields; 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.
Fellows Program Overview
The Anthropic Fellows Program is designed to foster AI research and engineering talent. 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 (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 (vary by country)
- Funding for compute (~$15k per 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 (with possible extension).
Fellow Workstreams
Workstreams may include unique assessment steps; we consider candidates for all workstreams by default. Some potential workstreams include:
- Model‑based tools to understand and improve AI training data quality
- Research on generalization and safety
- RL environments for improving Claude models within your domain of expertise
- Research and implementation of RL algorithms
Candidate Profile
Across the workstreams, you may be a good fit if you:
- Are motivated by ensuring 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:
- A strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, 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
Logistics
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. We have designated shared workspaces in London and Berkeley; we also welcome remote fellows in the UK, US, or Canada. We are not currently able to sponsor visas for fellows; participants need to have or independently obtain full‑time work authorization in the UK, the US, or Canada. The program runs for 4 months full‑time.
EEO Statement
Anthropic is an equal opportunity employer. We do not discriminate based on race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, or any other protected status. We also do not discriminate against veterans with disabilities.
Anthropic Fellows Program, Reinforcement Learning employer: Anthropic
Anthropic is an exceptional employer, dedicated to fostering a collaborative and innovative work culture that prioritises the safety and benefit of AI for society. The Anthropic Fellows Program offers direct mentorship from leading researchers, access to cutting-edge resources, and a generous stipend, all within vibrant shared workspaces in London or Berkeley. With a strong emphasis on employee growth and connection to the broader AI research community, this programme is ideal for those eager to make meaningful contributions to the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Anthropic Fellows Program, Reinforcement Learning
✨Network Like a Pro
Get out there and connect with folks in the AI community! Attend meetups, webinars, or conferences related to reinforcement learning. The more people you know, the better your chances of landing that dream role at Anthropic.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Work on personal projects or contribute to open-source initiatives that align with Anthropic’s mission. This will not only boost your portfolio but also demonstrate your commitment to safe and beneficial AI.
✨Ace the Interview
Prepare for your interview by brushing up on reinforcement learning concepts and being ready to discuss your past experiences. We love candidates who can communicate their ideas clearly and implement them quickly, so practice articulating your thought process.
✨Apply Through Our Website
Make sure to apply through our website for the Anthropic Fellows Program. It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for passionate individuals who want to make a difference in AI!
We think you need these skills to ace Anthropic Fellows Program, Reinforcement Learning
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI safety and research shine through. We want to see that you're genuinely excited about making a difference in the field!
Tailor Your Experience:Make sure to highlight your relevant skills and experiences that align with the workstreams mentioned in the job description. We love seeing how your background fits into our mission!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your ideas are easy to understand. Remember, communication is key!
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 get you into the process smoothly.
How to prepare for a job interview at Anthropic
✨Know Your Stuff
Make sure you brush up on reinforcement learning concepts and the latest research in AI safety. Familiarise yourself with Anthropic's mission and how your skills align with their goals. This will show that you're genuinely interested and prepared.
✨Showcase Your Projects
Be ready to discuss any relevant projects you've worked on, especially those involving Python programming or empirical research. Highlight your contributions and the impact of your work, as this will demonstrate your hands-on experience and problem-solving skills.
✨Ask Thoughtful Questions
Prepare some insightful questions about the Fellows Program and the specific workstreams. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you. Think about what you want to learn from the mentorship and the community.
✨Emphasise Collaboration
Anthropic values teamwork, so be sure to highlight your experiences working in collaborative environments. Share examples of how you've successfully communicated ideas and implemented solutions in a team setting, as this will resonate well with their culture.
