Senior Machine Learning Engineer (Safety)
Core
Lead development and deployment of cutting-edge, production-grade AI systems for national security and high-stakes clients, bridging AI research with real-world impact.
Role type
Senior Machine Learning Engineer (AI Safety & National Security)
Builds
Scalable, production-grade ML software, tools, and infrastructure for secure AI deployment (via careerplan.io/jobs/592a852d-e554-4390-bbe2-38ed062bc8e2-senior-machine-learning-engineer-safety-at-faculty)
Domain
National Security, AI Safety, High-Stakes AI
Deliverable
production ML models
Required skills
LLM application development, multi-agent harness tooling, AI Safety evaluation, full ML lifecycle operationalization, TensorFlow/PyTorch, Python software engineering, cloud architecture (AWS/Azure/GCP), container orchestration (Docker/Kubernetes)
Preferred skills
Experience with frontier labs, cybersecurity practices, mentoring junior engineers
Technologies
TensorFlow, PyTorch, Python, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Lead technical scoping and architectural decisions for high-impact ML systems; Design and build production-grade ML software and scalable infrastructure; Define and implement best practices for deploying ML at scale; Collaborate with cross-functional teams to solve critical client challenges; Act as a trusted technical advisor to customers; Mentor and develop junior engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
