Anthropic AI Safety Fellow

As an Anthropic AI Safety Fellow, your primary responsibilities will include working on empirical projects that align with Anthropic’s research priorities, utilizing external infrastructure like open-source models. You’ll undergo mentorship from experienced researchers, allowing you to contribute to significant AI safety research. Your work may lead to public outputs, such as research papers.

To apply for the Anthropic AI Safety Fellow position, you should have a strong technical background in fields like computer science, mathematics, or physics. Proficiency in programming, especially in Python and familiarity with machine learning frameworks, is essential. While direct experience in AI safety research is not mandatory, a passion for the field is crucial.

Fellows will be matched with mentors who lead projects in defined AI safety research areas. This matching occurs in March 2025 and allows you to work closely with experts who provide guidance and feedback throughout your project. This relationship is vital for your professional growth and contribution to impactful research.

Anthropic AI Safety Fellows enjoy numerous benefits, including a weekly stipend of $2100 and access to funding for compute and research expenses. You’ll also gain access to shared workspaces in key locations like Berkeley and London, as well as benefits provided through our third-party talent partner, enhancing your fellowship experience.

The interview process for the Anthropic AI Safety Fellow position includes an initial application and reference checks, followed by a technical assessment focused on coding skills in Python. You'll then have a recruiter screening and final interviews that consist of a culture interview and a research discussion, culminating in offer decisions by March 10, 2025.

When answering this question, highlight a specific project where you utilized your programming and analytical skills in AI or machine learning. Discuss the objectives, methods, and outcomes of the project, emphasizing how it played a role in your development as a candidate in AI safety.

An effective response should reflect your knowledge of AI safety and its implications in preventing catastrophic risks associated with advanced AI systems. Discuss your views on trustworthiness, interpretability, and steerability of AI systems, demonstrating your commitment to the field.

When addressing this question, emphasize your adaptability and communication skills. Provide examples of past experiences where collaboration was key to the project's success and illustrate how you manage feedback to drive research effectively.

In your answer, focus on your proficiency in programming languages like Python, which is significant in AI research. Discuss projects where you effectively used these languages, explaining the relevance of programming to empirical research and AI safety.

Use this opportunity to showcase resilience. Discuss how you would analyze setbacks, learn from them, and apply those lessons to future projects, ensuring that you maintain a growth mindset through challenges.

Illustrate your problem-solving skills with a specific example where you had to pivot your approach based on new data or insights. Explain how it impacted your project and what strategies you employed to adapt effectively.

In your response, share your passion for AI technology and its implications for society. Highlight how your background has prepared you for this shift and your desire to contribute to making AI safe and beneficial.

Express genuine enthusiasm for Anthropic's mission and the unique opportunity to work with leading experts in AI safety. Highlight specific aspects of their work that resonate with your career goals and principles.

Detail your involvement in a collaborative or independent project, outlining your responsibilities, the skills you utilized, and the outcome of your participation, especially if it aligns with AI safety.

In your response, align your skills with the requirements and goals of the fellowship. Discuss your ambition to advance AI safety research and how you believe your background makes you a strong contributor to Anthropic’s mission.