VP, Research
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
CHECKED 16H AGO
Infrastructureonsiteexecutive
At a glance
Highlights
- Lead frontier research on evaluations, agents, and AI safety.
- Bridge AI research and global policymakers on AI risks.
- Shape technical direction of Scale's ML research for GenAI.
What they offer
- base salary
- equity
- benefits
Ideal candidate
Seasoned ML research leader who thrives in ambiguity, moves fast from vision to execution, and cares about advancing frontier AI capabilities safely with real-world impact.
Requirements
- Track record leading ML research teams in high-growth environments
- Experience scaling research organizations across geographies
- Ability to move teams from ambiguity to execution with urgency and clarity
- Experience partnering deeply with sales, delivery and customer success teams
- Comfortable operating in the weeds and at the executive level
- Credibility and curiosity in product engineering, infrastructure or AI agent systems
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta