Software Engineer (Safety)
Core
Build scalable, production-grade machine learning systems and infrastructure to support AI safety, red teaming, and evaluation for national security and government clients.
Role type
Senior IC software engineer (AI safety & ML infrastructure)
Builds
Production ML software, tools, and infrastructure for high-stakes AI safety missions
Domain
National security, AI safety, and responsible AI deployment
Deliverable
production ML models
Required skills
Python, LLM application development, multi-agent harness tooling, AI safety evaluation, cloud architecture (AWS/Azure/GCP), container orchestration (Docker/Kubernetes), machine learning lifecycle management, Scikit-learn/TensorFlow/PyTorch
Preferred skills
Experience with frontier AI labs, technical advisory to non-technical stakeholders
Technologies
Python, AWS, Azure, GCP, Docker, Kubernetes, Scikit-learn, TensorFlow, PyTorch
Responsibilities
Build and deploy production-grade ML software and tools; Create reusable scalable solutions for ML system delivery; Collaborate with cross-functional teams on client challenges; Lead technical scoping and architectural decisions; Define standards for deploying ML at scale; Act as technical advisor to customers and partners
Seniority
Senior, hands-on IC (via careerplan.io/jobs/ac255dcf-1e7b-453a-891f-84a778e9521e-software-engineer-safety-at-faculty)
