Anthropic Fellows Program — AI Safety

AnthropicAnthropic·Remote(London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA)
Other

WFA Digital Insight

The demand for AI safety specialists has skyrocketed, with over 50% of companies investing in AI safety research. Anthropic's Fellows Program is a unique opportunity for professionals to dive into AI research, with a weekly stipend and funding for compute expenses. As the job market becomes increasingly remote, this role stands out with its flexible work arrangement and access to a shared workspace. Before applying, candidates should know that the program is highly competitive, and a strong background in AI research is essential. With the AI safety market expected to grow by 25% in the next year, this role is perfect for those looking to make a meaningful impact.

Job Description

About the Role

The Anthropic Fellows Program is designed to foster AI research and engineering talent. As a fellow, you will work on an empirical project aligned with Anthropic's research priorities, with the goal of producing a public output, such as a paper submission. You will have direct mentorship from Anthropic researchers and access to a shared workspace in either Berkeley, California, or London, UK.

The program is highly competitive, and fellows are expected to be self-motivated and driven. You will be working on a project that has the potential to make a significant impact in the field of AI safety. The program is open to candidates from all backgrounds, and Anthropic encourages applicants from underrepresented groups to apply.

What You Will Do

  • Work on an empirical project aligned with Anthropic's research priorities
  • Produce a public output, such as a paper submission
  • Collaborate with Anthropic researchers and other fellows
  • Participate in weekly meetings and discussions
  • Conduct research and experiments using external infrastructure, such as open-source models and public APIs
  • Analyze and interpret data, and draw meaningful conclusions
  • Communicate research findings and results to both technical and non-technical audiences
  • Stay up-to-date with the latest developments in AI safety research
  • Contribute to the broader AI safety and security research community

What We Are Looking For

  • A strong background in AI research, including a degree in computer science, mathematics, or a related field
  • Experience with machine learning, deep learning, or natural language processing
  • Programming skills in languages such as Python, Java, or C++
  • Experience with open-source models and public APIs
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of a team
  • Strong analytical and problem-solving skills
  • Experience with data analysis and interpretation
  • Familiarity with AI safety and security research

Nice to Have

  • Experience with cloud computing platforms, such as AWS or Google Cloud
  • Knowledge of AI safety and security frameworks and protocols
  • Familiarity with agile development methodologies
  • Experience with version control systems, such as Git

Benefits and Perks

  • Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD
  • Funding for compute expenses, up to
    5,000 per month
  • Access to a shared workspace in either Berkeley, California, or London, UK
  • Direct mentorship from Anthropic researchers
  • Opportunity to work on a project with the potential to make a significant impact in the field of AI safety
  • Collaboration with a team of experienced researchers and engineers
  • Professional development opportunities, including training and conference attendance
  • Flexible work arrangement, with the option to work remotely

How to Stand Out

  • Tip: Make sure to highlight your research experience and skills in your application, as these are essential for the role.
  • Tip: Familiarize yourself with Anthropic's research priorities and be prepared to discuss your ideas and projects during the interview process.
  • Tip: Be prepared to work independently and as part of a team, and demonstrate your ability to collaborate with others.
  • Tip: Showcase your ability to communicate complex research findings and results to both technical and non-technical audiences.
  • Tip: Consider reaching out to current or former fellows to learn more about the program and gain insights into the application process.
  • Tip: Be prepared to discuss your experience with AI safety and security research, and demonstrate your knowledge of frameworks and protocols.

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