At a Glance
- Tasks: Conduct cutting-edge research and collaborate on AI safety projects.
- Company: Join Anthropic, a leader in AI safety and innovation.
- Benefits: Receive a competitive stipend, funding for research, and mentorship from top scientists.
- Other info: Work remotely or in vibrant locations like London or Berkeley.
- Why this job: Make a real impact in the AI field while developing your skills.
- Qualifications: Fluent in Python with a strong background in tech or science.
The predicted salary is between 12000 - 12000 £ per year.
An innovative fellowship that offers 4 months of full‑time research, mentorship from Anthropic scientists, and the opportunity to work on empirical projects using external infrastructure.
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, or remote option
- 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
Responsibilities
- Design and conduct experiments using external models and APIs aligned with Anthropic research priorities.
- Produce a public deliverable such as a research paper or open-source software.
- Collaborate with mentors and cross‑functional teams to refine research questions and methodologies.
- Engage in weekly research discussions and meetings.
Qualifications
- Fluent programming in Python.
- Strong technical background in computer science, mathematics, or physics.
- Motivated to contribute to safe and beneficial AI for society.
- Experience building large‑scale ML systems, high‑performance computing, or training large language models.
- Ability to implement ideas quickly and communicate results clearly.
- Thrives in fast‑paced, collaborative environments.
Additional Strengths (Nice to Have)
- Background in economics, social sciences, or cybersecurity relevant to a specific workstream.
- Prior research or engineering experience in a related domain.
Logistics
- Must have work authorization in the US, UK, or Canada and be located in that country during the program.
- Eligible to work from London or Berkeley; remote options are also considered.
- Visa sponsorship is not available; applicants must hold valid work authorization.
- Program duration is 4 months full‑time; extensions may be considered on a case‑by‑case basis.
Compensation
- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD, with expected 40 hours per week.
Anthropic Fellows Program, ML Systems & Performance employer: Anthropic
Anthropic is an exceptional employer that fosters a collaborative and innovative work culture, particularly through its Anthropic Fellows Program. With direct mentorship from leading researchers and access to cutting-edge resources in vibrant locations like Berkeley and London, employees are empowered to contribute to meaningful AI safety research while enjoying competitive stipends and benefits. The company prioritises employee growth and connection to the broader AI community, making it an ideal place for those passionate about advancing technology responsibly.
StudySmarter Expert Advice🤫
We think this is how you could land Anthropic Fellows Program, ML Systems & Performance
✨Tip Number 1
Network like a pro! Reach out to current or past fellows, mentors, or anyone in the AI safety community. A friendly chat can give you insights and maybe even a foot in the door.
✨Tip Number 2
Show off your skills! If you've got projects or research that align with Anthropic's focus, make sure to highlight them in conversations. Bring your portfolio to life!
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with ML systems. Practice explaining complex ideas simply – it’s key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Anthropic Fellows Program, ML Systems & Performance
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the Anthropic Fellows Program. We want to see your passion for AI safety and how you can contribute to our mission!
Showcase Your Technical Skills:Since a strong technical background is key, don’t forget to showcase your programming prowess in Python and any experience with ML systems. We love seeing concrete examples of your work, so include links to projects or papers if you can!
Be Clear and Concise:When writing your application, clarity is crucial. We appreciate well-structured responses that get straight to the point. Avoid jargon unless it’s necessary, and make sure your enthusiasm for the role shines through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Anthropic
✨Know Your Stuff
Make sure you brush up on your Python programming skills and have a solid understanding of ML systems. Be ready to discuss your past projects and how they relate to the responsibilities outlined in the fellowship. This will show that you're not just familiar with the concepts, but that you can apply them effectively.
✨Show Your Passion for AI Safety
Anthropic is all about safe and beneficial AI, so make sure you convey your motivation for contributing to this field. Share any relevant experiences or insights you've gained that demonstrate your commitment to AI safety and security. This will help you stand out as a candidate who truly aligns with their mission.
✨Prepare for Collaboration
Since the role involves working closely with mentors and cross-functional teams, be prepared to discuss how you thrive in collaborative environments. Think of examples where you've successfully worked with others to achieve a common goal, and be ready to share those stories during the interview.
✨Ask Thoughtful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the programme and the team. Ask about the types of projects you'll be working on, the mentorship style of the researchers, or how the fellowship connects to the broader AI safety community. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.
