About the Role
We are seeking a highly experienced, strategic and mission-driven leader to drive the policy research priorities of Scale Labs. This is a unique opportunity to lead a team of research scientists, policy experts and engineers on foundational AI safety and security work. You will own day-to-day responsibilities for the strategy, direction and execution of Scale’s Policy Research Lab. You will also collaborate with a team of internal researchers, leading research labs across governments, industry, and academia, working alongside a team of internal researchers drive initiatives related to frameworks and benchmarks for frontier AI models. Furthermore, you will remain deeply engaged with the policy and research communities to understand and set trends, and manage and coordinate the lab's projects, partnerships and strategy, including direct work with global AI safety institutes. You will finalize, coordinate, and execute the lab's recruiting plan and research agenda.
Responsibilities
- Own day-to-day responsibilities for the strategy, direction and execution of Scale’s Policy Research Lab
- Collaborate with a team of internal researchers, leading research labs across governments, industry, and academia.
- Working alongside a team of internal researchers drive initiatives related to frameworks and benchmarks for frontier AI models.
- Remain deeply engaged with the policy and research communities to understand and set trends.
- Manage and coordinate the lab's projects, partnerships and strategy, including direct work with global AI safety institutes.
- Finalize, coordinate, and execute the lab's recruiting plan and research agenda.
Requirements
- 6+ years of relevant academic or work experience
- A track record of impactful research and/or policy contributions
- Experience leading teams in relevant areas including AI Safety Policy, Thought Leadership and Research publications
- Strong written and verbal communication skills for cross-functional collaboration.
- Experience building and mentoring teams of research scientists and engineers.
- A strong technical and policy background with a deep understanding of the AI safety space.
- Extensive knowledge of frontier risk evaluations, AI control, and preparedness research.
- Established connections with government partners, particularly AI safety institutes.
Qualifications
Publications at major machine learning/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or journals.