How to apply for Researcher, Recursive Self-Improvement Safety

About OpenAI

OpenAI is a frontier AI research and product company dedicated to ensuring that artificial general intelligence benefits all of humanity. Working here means tackling some of the most challenging and consequential problems in AI, with a strong emphasis on safety and alignment. The company's unique position at the forefront of AI development offers an unparalleled opportunity to shape the future of technology responsibly.

About the role

This role focuses on developing technical mitigations for AI safety risks arising from recursive self-improvement, a critical area as AI systems approach and surpass human capabilities. You will design and implement oversight systems, auditing mechanisms, and behavioral monitoring to ensure that AI systems remain under control. The impact is immense: your work will directly contribute to preventing catastrophic outcomes and ensuring that advanced AI aligns with human values.

A typical day

A typical day might involve reviewing recent model training runs for signs of misalignment, then collaborating with engineers to design an automated auditing pipeline. You could spend time running red-team experiments, analyzing results, and iterating on control measures. Afternoons might include meetings with alignment researchers to discuss findings and adjust research priorities, followed by writing up results for internal documentation or publication.

Who OpenAI is looking for

• Strong background in machine learning, with hands-on experience in training and evaluating large-scale models, and a deep understanding of alignment challenges.
• Proven research skills in AI safety or related fields, evidenced by publications or projects that address misalignment, verification, or oversight.
• Ability to design and execute rigorous experiments, including red-teaming and stress-testing AI systems to uncover failure modes.
• Strategic thinker with exceptional technical execution, capable of prioritizing in domains with weak feedback loops and making sound judgments under uncertainty.

Tips for this application

• Highlight any direct experience with recursive self-improvement or related concepts, even if theoretical, in your resume and cover letter.
• Showcase your ability to build scalable oversight tools or automated auditing systems, with concrete examples of implementation.
• Demonstrate your research taste by discussing specific alignment papers or projects that have influenced your thinking, and how you'd apply these ideas to this role.
• Tailor your application to emphasize your comfort with uncertainty and your ability to make decisions without clear feedback, as this is a core requirement.
• If you have prior work in ML research or alignment, ensure it's prominent and clearly link it to the responsibilities of this role, using keywords from the job description.

What to cover in your cover letter

['Explain why you are passionate about AI safety and specifically about the risks from recursive self-improvement, showing a deep understanding of the problem.', 'Detail your technical skills and experience that are directly applicable, such as building oversight systems, conducting red-teaming, or designing control measures.', 'Describe a specific project or research where you tackled a safety-related challenge, highlighting your approach and results.', 'Articulate your vision for how you would approach the role, including potential strategies for scalable oversight and pre-deployment risk assessments.']

Research before applying

• Read OpenAI's charter and recent publications on alignment, such as the 'Weak-to-Strong Generalization' paper, to understand their current thinking.
• Familiarize yourself with the specific safety frameworks OpenAI has proposed, like 'Preparedness Framework' or 'Control Measures' for loss-of-control scenarios.
• Research the team's recent work on scalable oversight and automated auditing, and think about how your skills could contribute.
• Stay updated on the broader AI safety community's discussions on recursive self-improvement, including critiques and proposed mitigations.

Likely interview topics

Based on the job description, expect questions about:

• How would you design an oversight system for an AI that is recursively improving itself? What are the key challenges?
• Describe a time you identified a misalignment issue in a model. How did you detect it, and what mitigation did you propose?
• What are the limitations of current red-teaming methods, and how would you improve them for superhuman models?
• How do you prioritize safety research when there are no clear benchmarks or feedback? Give an example from your experience.
• Discuss a recent paper or development in AI alignment that you find promising. How would you integrate it into your work here?

Common mistakes to avoid

• Don't submit a generic cover letter that doesn't mention the specific role or company—personalize it to OpenAI and this position.
• Avoid focusing solely on theoretical knowledge without demonstrating practical implementation skills, as this role requires hands-on technical work.
• Don't overlook the importance of communication and collaboration; while the role is technical, you must convey ideas clearly to cross-functional teams.