Research Scientist, AI Controls and Monitoring
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
CHECKED 15H AGO
Infrastructureonsite
At a glance
Highlights
- Develop monitoring techniques that track AI behavior in real time.
- Research layered control with fail-safes to halt risky AI systems.
- Design red-team simulations to probe oversight weaknesses and fix gaps.
What they offer
- Base salary
- Equity
- Benefits
Ideal candidate
Collaborative AI researcher passionate about safe, trustworthy frontier models. You enjoy prototyping experiments and bridging research with policymakers to mitigate real-world AI risk.
Requirements
- 3+ years experience addressing sophisticated ML problems in research or product development
- Track record of published research in machine learning, particularly generative AI
- Practical experience conducting collaborative technical research and building prototypes
- Comfortable designing control and monitoring experiments and turning literature into working prototypes
- Strong written and verbal communication skills for cross-functional work
- hiring process
- Research interviews assess practical ML prototyping and debugging, grasp of research concepts, and culture alignment; no LeetCode-style questions.
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