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Scale AI
Scale GP is seeking a Machine Learning Engineer to design and own retrieval and knowledge representation systems for its Generative AI platform. The role involves end‑to‑end development of ML components, including RAG pipelines, knowledge graphs, and context retrieval services, while collaborating with product, ML, and infrastructure teams to deliver production‑grade solutions for enterprise customers.
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.
Scale AI didn’t post a salary, so this is our estimate from similar listings.
Right around the average for this role
2 days ago
