Scale AI · 1 day ago
Machine Learning Engineering Manager, Public Sector
Washington, DC
Full-time
Onsite
Senior Level
$240K/yr - $300K/yrScale AI is focused on developing reliable AI systems for critical government environments. They are seeking a Machine Learning Engineering Manager to lead a team of ML engineers in delivering production-grade AI systems while ensuring alignment with product and government partner needs.
Artificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Lead and grow a team of ML engineers delivering production-ready AI systems for public sector customers
Provide technical direction and mentorship on projects spanning agentic LLM frameworks, reinforcement learning, generative AI, and computer vision
Collaborate with research, product, and infrastructure teams to align technical roadmaps with organizational and customer priorities
Drive operational excellence: establish best practices for model development, deployment, evaluation, and monitoring in secure, high-stakes environments
Partner with public sector stakeholders to translate mission needs into scalable ML solutions
Work closely with public sector customers to scope and deliver AI applications
Ensure effective prioritization and resourcing across multiple programs and customer engagements
Cultivate a strong engineering culture that values collaboration, innovation, accountability, and impact
Support career development, performance reviews, and hiring to expand the team
Qualification
Required
US citizenship and US Government Security Clearance is a requirement (TS/SCI preferred)
Proven experience managing and mentoring ML or AI engineering teams, ideally in applied research or production ML environments
Strong technical background in one or more of: computer vision, generative AI/LLMs, reinforcement learning, or agentic systems
Up-to-date understanding of cutting edge ML research and production systems in your domain(s) of expertise
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and large-scale ML infrastructure
Background in deploying AI systems in high-reliability or mission-critical contexts (public sector, defense, healthcare, finance, etc.)
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders, including government partners
Strong program management skills: ability to set strategy, manage multiple priorities, and deliver on commitments
Preferred
Graduate degree in Computer Science, Machine Learning, or related field
Experience in public sector / defense AI programs
Familiarity with evaluation frameworks for LLMs and multi-agent systems
Cloud platform (AWS/GCP/Azure) experience, especially in secure deployments
Benefits
Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
A commuter stipend
Company
Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
Founded in 2016
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$15.9BKey Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B
Leadership Team
Jason Droege
Interim Chief Executive Officer
Dennis Cinelli
Chief Financial Officer
Recent News
Crunchbase News
2026-01-07
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