Staff/Senior Machine Learning Research Engineer, Intelligent Systems
Scale AI · San Francisco, CA; New York, NY · San Francisco, CA
CHECKED 14H AGO
Infrastructureonsitestaff
At a glance
Highlights
- Ship production agentic AI for enterprise and government missions at scale.
- Move to hardest ML problems and set AI technical direction across AIS.
- Prototype novel agent learning loops and validate with rigorous experiments.
Ideal candidate
Hands-on ML researcher who thrives on ambiguous, high-leverage problems and shipping reliable AI to production. You raise the bar on rigor while mentoring others and turning mission needs into dependable systems.
Requirements
- 5+ years of experience as an ML engineer or applied/research scientist, including direct experience training or fine-tuning models in production systems
- PhD in Computer Science, Electrical Engineering, or a related field
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