Staff Machine Learning Engineer, Public Sector
Core
Lead the design and deployment of agentic AI systems for mission-critical government environments, focusing on long-horizon reasoning, orchestration, and system-level reliability.
Role type
Staff Machine Learning Engineer (Agentic AI & Systems)
Builds
Agentic AI systems, geospatial reasoning agents, retrieval systems, memory systems, and shared agentic infrastructure.
Domain
Public Sector / Defense & Intelligence / Agentic AI / Geospatial
Deliverable
production ML models
Required skills
Agentic systems design, long-horizon reasoning, system-level reliability, geospatial reasoning, retrieval systems, embedding models, memory systems, evaluation strategies, Python, PyTorch, model serving, pipelines, monitoring
Preferred skills
Air-gapped/classified environment deployment, DoD/intelligence community experience, GEOINT, model adaptation (LoRA/PEFT/RLHF), non-deterministic system evaluation infrastructure
Technologies
Python, PyTorch
Responsibilities
Lead architecture and implementation of agentic AI systems; Build and scale agents for complex geospatial reasoning; Design and improve retrieval systems for large document collections; Fine-tune and evaluate embedding models; Design memory systems for state persistence; Own and evolve shared agentic infrastructure; Define evaluation strategies including robustness and failure-mode analysis; Partner with engineering managers and product leaders; Serve as a technical mentor.
Seniority
Staff, hands-on IC with strategic scope
