Senior Machine Learning Engineer, Public Sector
Core
Design and deliver end-to-end agentic AI, generative AI, and computer vision systems for mission-critical government operations, focusing on agent frameworks, memory systems, and geospatial reasoning.
Role type
Senior IC Machine Learning Engineer (Agentic Systems & GenAI)
Builds
Production-ready agent frameworks, LLM-based planning systems, and evaluation tooling for government partners.
Domain
Public Sector / Defense / Government Operations
Deliverable
production ML models
Required skills
Architectural design for agentic systems, Python, PyTorch or TensorFlow, reinforcement learning, computer vision, LLM integration, geospatial reasoning, ML evaluation benchmarking, mentoring engineers
Preferred skills
Cloud deployment (AWS/GCP), inference optimization, fine-tuning (SFT/RL/embeddings), experience in classified/air-gapped environments, GEOINT experience
Technologies
Python, PyTorch, TensorFlow, Large Language Models, Reinforcement Learning, Computer Vision, AWS, GCP
Responsibilities
Own architecture and implementation of new agent capabilities, build evaluation benchmarks and LLM judges, optimize production models, partner with product teams, mentor engineers, communicate tradeoffs to stakeholders, engineer around security constraints
Seniority
Senior, hands-on IC with architectural authority