Scale AI
Senior Machine Learning Engineer, Public Sector
$235K–$294K
Denver, CO +3 · Senior · Full-time · Posted Sep 10, 2026
- Location
- Denver, CO
Honolulu, HI
Washington, DC
Washington, District of Columbia, United States - Experience
- 5+ years of experience building and deploying applied ML systems in production environments (listed under “Ideally You’d Have”).
- Education
- Graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization is a nice-to-have; no required education stated.
About the job
Designs, builds, evaluates, and deploys production AI agents and machine learning capabilities for mission-critical government systems.
What you'll do
- Own end-to-end design, implementation, and evaluation of agent capabilities; establish new technical patterns and lead their delivery.
- Deploy and maintain production models and agents, including retraining, tuning, and building scalable ML infrastructure.
- Work with government users and cross-functional teams; mentor engineers and communicate technical tradeoffs.
What they ask for
- Active TS security clearance.
- Strong programming skills in Python.
- Experience in algorithms, data structures, and object-oriented programming.
- Comfort with light travel (approximately 10%).
Nice to have
- Experience with production applied ML, GenAI, agentic AI, NLP, deep learning, deep reinforcement learning, or computer vision.
- Graduate degree in a relevant field; cloud, classified-environment, geospatial, inference-optimization, or fine-tuning experience.
Pay
$235,200 — $294,000 USD (base salary)
Tools
Python, PyTorch, Tensorflow, AWS, GCP
AI focus
Builds and evaluates agentic systems based on large language models, including retrieval, APIs, memory, context management, geospatial reasoning, evaluation tooling, and targeted reinforcement learning and computer vision applications.
Model-written summary · the original posting is authoritative