Machine Learning Engineer, Public Sector
Scale AI · Denver, CO; Honolulu, HI; Washington, DC · Washington, DC
CHECKED 16H AGO
Infrastructureonsite
At a glance
Highlights
- Deploy cutting-edge AI models to mission-critical government systems at scale.
- Build agentic LLM systems solving complex operational planning challenges.
- Train vision foundation models automating perception for defense applications.
What they offer
- base salary
- equity
- benefits
Ideal candidate
A mission-driven ML engineer with production experience who learns fast, juggles priorities, and wants to ship real-world AI for government partners.
Requirements
- 2+ years building and deploying applied ML systems in production environments
- Extensive experience with GenAI, agentic AI, NLP, deep learning, deep RL or computer vision in production
- Solid background in algorithms, data structures and object-oriented programming
- Strong Python programming skills with TensorFlow or PyTorch experience
- Active TS security clearance required
- Comfortable learning quickly, managing multiple priorities and ~10% travel
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