Staff Machine Learning Engineer, Public Sector
Scale AI · Denver, CO; Washington, DC · Washington, DC
CHECKED 15H AGO
Infrastructureonsitestaff
At a glance
Highlights
- Lead agentic AI systems for mission-critical government missions at national scale.
- Build agents for geospatial reasoning, planning and decision support programs.
- Design memory, retrieval and evaluation systems for long-horizon reliable agents.
Ideal candidate
Staff-level ML leader with 8+ years shipping applied AI who thrives on ambiguous 0→1 problems and mentoring. Mission-driven builder excited to deploy reliable agentic systems for defense and intelligence operators.
Requirements
- 8+ years building and deploying applied ML systems in production environments
- Deep experience with agentic systems or autonomous multi-step workflows
- Strong background in ML systems engineering including serving, pipelines, monitoring and evaluation
- Hands-on experience with retrieval systems, embeddings or representation learning
- Proficiency in Python and modern ML frameworks such as PyTorch with end-to-end system design
- Demonstrated Staff-level scope setting technical direction and driving 0 to 1 initiatives to production
- Active TS security clearance required
- Comfortable with light travel approximately 10% for customer 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