Machine Learning Engineer
Core
Build and deploy production-grade ML software, tools, and infrastructure for national security and AI safety missions, ensuring scalable, secure, and trustworthy AI systems for government and enterprise clients.
Role type
Senior IC machine learning engineer (national security & AI safety)
Builds
Production-grade ML systems, scalable software architecture, and reusable ML infrastructure
Domain
National security, AI safety, government contracting, high-stakes intelligence
Deliverable
production ML models | infrastructure
Required skills
Full ML lifecycle operationalization, Python, software engineering best practices, cloud architecture & security, container orchestration (Docker, Kubernetes), core ML concepts (probability, statistics, learning techniques)
Preferred skills
Experience with Scikit-learn, TensorFlow, PyTorch, advising non-technical stakeholders
Technologies
AWS, Azure, GCP, Docker, Kubernetes, Scikit-learn, TensorFlow, PyTorch
Responsibilities
Build and deploy production-grade ML software and infrastructure; Create reusable, scalable solutions; Collaborate with cross-functional teams to solve client challenges; Lead technical scoping and architectural decisions; Define standards for deploying ML at scale; Act as a technical advisor to customers and partners
Seniority
Senior, hands-on IC