Scale AI
Staff Machine Learning Engineer, Public Sector
$274K–$343K
Denver, CO +2 · Staff · Full-time · Posted Jan 30, 2026
- Location
- Denver, CO
Washington, DC
Washington, District of Columbia, United States - Experience
- Ideally 8+ years building and deploying applied ML systems in production environments.
About the job
Leads the design and deployment of reliable agentic AI systems and shared ML infrastructure for geospatial reasoning and decision support in government environments.
What you'll do
- Architect and build agents for long-horizon reasoning, orchestration, geospatial tasks, retrieval, and persistent memory.
- Own shared agentic infrastructure and define evaluation, reliability, and production testing strategies.
- Set technical direction and mentor engineers while partnering across teams to deliver production systems.
What they ask for
- Active TS security clearance.
- Experience building and deploying applied ML systems in production.
- Experience with agentic systems, ML systems engineering, or retrieval and embeddings.
- Proficiency in Python and modern ML frameworks, such as PyTorch.
Nice to have
- Experience deploying systems in classified, air-gapped, or disconnected environments, or working with DoD, intelligence, or federal users.
- Experience with geospatial data, model adaptation, or evaluation infrastructure for non-deterministic systems.
Pay
$274,400 — $343,000 USD (base salary)
Tools
Python, PyTorch, LoRA/PEFT, RLHF
AI focus
Build agentic AI for geospatial reasoning, planning, retrieval, and decision support; fine-tune and evaluate embedding models and develop memory, orchestration, and evaluation systems.
Model-written summary · the original posting is authoritative