Staff Machine Learning Engineer, Public Sector
Denveronsitemid$274K – $343K
via Greenhouse
About this role
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.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, mode, pytorch, teams
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Denver. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonmodepytorchteams
More at Scale AI
- View →Software Engineer, RoboticsArgentina; Uruguay
- View →AI Advisory ConsultantSan Francisco, CA; New York, NY
- View →Software Engineer - AI EnablementSan Francisco, CA
- View →Executive AssistantWashington, DC
- View →Research Scientist, Frontier Risk EvaluationsSan Francisco, CA; New York, NY
- View →Software Engineering Intern (Summer 2027)London, UK
