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Active4w ago

Staff Machine Learning Engineer, Public Sector

Scale AI·📍 Denver, Colorado, United States

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$274.4K – $343K/yr

Role overview

Job description

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like Donovan and Thunderforge , we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trust

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Role market pulse

How Machine Learning Engineer demand looks in United States

72/100 · rising

Live jobs

140

Posted 30d

66

30d movement

+144.4%

Remote share

36.4%

Salary listed

85.7%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Ideally You’d Have: 8+ years of experience building and deploying applied ML systems in production environments; Experience building evaluation infrastructure for non-deterministic systems: LLM-as-judge, regression suites for agent behavior, or drift detection in production

Department · Public Sector Engineering

Scale AI logo

Hiring company

Scale AI

Technology

Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.

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