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Scale AI careers

AI data platform providing high-quality training data, evaluations, and AI-powered solutions for enterprises, AI labs, and governments.

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Open roles at Scale AI

109 roles
Senior Machine Learning Engineer, Public Sector
Denver, CO; Honolulu, HI; Washington, DC / On-site / $235,200 - $294,000/year
IT Systems Engineer
Washington, DC / On-site / $148,800 - $186,000/year
Staff Full-Stack Software Engineer, (Forward Deployed), GPS
Riyadh / On-site
Engineering Manager, Frontier AI Infrastructure - Public Sector
Washington, DC / Hybrid / $213,600 - $267,000/year
Principal Architect
Washington, DC / On-site / $284,800 - $356,000/year
Senior Software Engineer, Platform
San Francisco, New York / On-site / $216,000 - $270,000/year
Staff Software Engineer, RL Environments
San Francisco, New York / On-site / $252,000 - $315,000/year
Tech Lead Manager- MLRE, ML Systems
San Francisco, New York / On-site / $290,400 - $363,000/year
Machine Learning Research Scientist, Post-Training
San Francisco, Seattle, New York / On-site / $180,600 - $225,750/year
Machine Learning Research Scientist, Evaluations
San Francisco, Seattle, New York / On-site / $180,600 - $225,750/year
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About

Scale AI provides high-quality data, evaluations, and outcomes to AI labs, governments, and Fortune 500 companies. The platform accelerates the development of AI by supplying curated training data and evaluation frameworks that help organizations build and deploy reliable AI systems.

Scale's products span data labeling, model evaluation, and enterprise AI solutions. Their platform is used across industries to create ground-truth datasets, benchmark frontier models, and integrate AI into business workflows. Founded by Alexandr Wang, Scale has become a key infrastructure provider in the AI ecosystem.

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