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Engineering Manager, Frontier AI Infrastructure - Public Sector

Scale AI · Washington, DC · Office location (mode not stated)

USD 245,600–307,000 / year

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Company
Scale AI
Location
Washington, DC
Work mode
Office location (mode not stated)
Open to applicants from
On-site/hybrid: local candidates
Level
Lead / manager & above
Employment
Not stated
Field
Data & AI / Machine learning & AI
Stated pay
USD 245,600–307,000 / year
Posted
2026-09-09 (2 months ago)
Visa sponsorship mentioned
Not mentioned
Listing source
Greenhouse

DockerKubernetesGCPAzureAWS AI / ML engineering & research

About the role

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are seeking a hands-on Engineering Manager to lead our Frontier AI Infrastructure team within Public Sector Engineering. This is a 50/50 role : you'll spend roughly half your time writing and reviewing code, and half your time leading, coaching, and growing a small team of engineers. Your team owns the model inference layer — enabling state-of-the-art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You'll lead technical discussions on the frontlines…

Excerpt only. Read the full description and apply at the original posting on Greenhouse. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.

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