Staff Machine Learning Engineer, Public Sector

Scale AI · Public Sector Engineering

Location: Denver, CO; Washington, DC
Metro: Denver / Boulder, Washington, DC
Workplace: Unspecified
Level: Staff+
Type: Unspecified
Pay: $274K–$343K/yr (estimated from posting text)
Posted: 9 months ago
Source: Greenhouse

What the posting covers

About the company

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,…

You will

Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability. Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and…

Ideally You’d Have

8+ years of experience building and deploying applied ML systems in production environments. Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps. Strong background in ML systems engineering,…

Nice to Haves

Experience deploying ML systems into air-gapped, classified, or otherwise disconnected environments - customer data centers, on-prem infrastructure, or networks with no path to a cloud provider. Prior work with DoD, the intelligence community, or federal…

Nice to Haves

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels…

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy,…

Excerpts only. The employer’s page has the complete posting.