Scale AI

Staff Machine Learning Engineer, Public Sector

Scale AI(4 days ago)

San Francisco, CA, New York, NY, Washington, DC, St. Louis, MOOnsiteFull TimeSenior$260,400 - $362,250Machine Learning
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About this role

A Staff Machine Learning Engineer at Scale leads the design and deployment of agentic AI systems for mission-critical public sector programs, working closely with U.S. defense and intelligence agencies. The role focuses on building foundational infrastructure that enables AI to reason, plan, and act reliably in classified and regulated environments at national scale.

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Required Skills

  • Agentic Systems
  • Geospatial Reasoning
  • Retrieval Systems
  • Embeddings
  • Representation Learning
  • Memory Systems
  • Model Serving
  • Pipelines
  • Monitoring
  • Evaluation

+2 more

Qualifications

  • Security Clearance
Scale AI

About Scale AI

scale.com

Scale AI is a data platform that accelerates the development of production-grade AI by delivering high-quality training data and annotation services. It offers APIs, labeling tools, and data-management workflows—combining human-in-the-loop annotation, ML-assisted automation, quality assurance, and dataset versioning—to support applications like self-driving cars, mapping, robotics, AR/VR, and enterprise ML. Scale’s tooling and services produce reliable labeled datasets, synthetic data, and evaluation assets so teams can train and iterate models faster. The company is widely used by leading technology and government organizations as a turnkey partner for building and maintaining training data at scale.

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