Senior Machine Learning Engineer, Public Sector
Scale AI · Denver, CO; Honolulu, HI; Washington, DC · Washington, DC
CHECKED 14H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Own capabilities end-to-end for mission-critical government systems.
- Build products like Donovan and Thunderforge for defense operations.
- Hold design authority for patterns operating in classified environments.
Ideal candidate
An ownership-driven ML leader who thrives on ambiguous, mission-critical problems and cares about correctness under real-world constraints. You mentor others, partner with government users, and want your work to support defense missions.
Requirements
- Active TS security clearance required
- 5+ years of experience building and deploying applied ML systems in production environments
- Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in production
- Track record of owning architectural decisions and defending the tradeoffs behind them
- Experience shipping agentic systems with real production traffic and evaluation rigor, rather than prototypes or demos
- Comfortable with light travel (approximately 10%) for customer interaction and team needs
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta