Scale AI
The Machine Learning Engineer on the Agent Oversight team will own the end‑to‑end lifecycle of production agents, building observability tools, designing evaluation frameworks, and creating improvement loops to ensure reliable performance. The role involves developing ML systems for drift, anomaly, and misalignment detection, running rigorous experiments, and collaborating with cross‑functional partners to translate enterprise and government requirements into robust platform capabilities.
Headquarters
San Francisco, California, United States
Company Size
501-1000 employees
Founded
2016
Scale AI is a full-stack AI company that delivers reliable AI systems, high-quality training data, and AI application deployments for AI labs, governments, and Fortune 500 enterprises. Its offerings span data engineering and human-in-the-loop annotation for frontier model training, a GenAI Platform for enterprise AI adoption, and Scale Donovan for public sector and defense use cases. Scale serves industries including healthcare, energy, robotics, and national security, and is trusted by 90% of the world's leading generative AI model builders.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Scale AI.
41% above the average for this role
2 days ago