Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Scale is seeking a research lead to drive the Scale AI Security and Policy Research Lab's research priorities to tackle the hardest problems in agent robustness, AI control protocols, and AI risk evaluations for frontier AI companies

Requirements

• Track record of impactful research in machine learning, especially in generative AI, evaluation, or oversight
• Significant experience leading ML research in academia or industry
• Publications at major ML/AI conferences (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or journals
• Experience building and mentoring teams of research scientists and engineers
• Strong written and verbal communication skills for cross-functional collaboration

Responsibilities

• Lead a team of research scientists and engineers on foundational AI safety and security work in evaluation and robustness
• Drive research initiatives on frameworks and benchmarks for frontier AI models, spanning reasoning, coding, multi-modal, and agentic behaviors
• Design and advance scalable oversight methods, leveraging model-assisted evaluation, rubric-guided judgments, and recursive oversight
• Collaborate with leading research labs across industry and academia
• Publish research at top-tier venues and contribute to open-source benchmarking initiatives
• Remain deeply engaged with the research community, both understanding trends and setting them

Other

• 90-day waiting period before reconsidering candidates for the same role
• Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO
• Base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $240,000—$340,000 USD
• Equity based compensation, subject to Board of Director approval
• Commuter stipend (eligible roles only)