Faculty

Faculty is hiring a Frontend Engineer to build client-facing web applications that visualize AI and machine-learning insights, especially for government and public-sector customers. The role combines hands-on React development with frontend standards, reusable component libraries, infrastructure, mentoring, and technical leadership.

Lead the technical strategy, architecture, and deployment of secure, production-grade AI systems across high-stakes domains. This role combines AI safety, ML infrastructure, multi-agent systems, client advisory, and engineering leadership.

Lead the technical strategy, architecture, and deployment of secure, safety-first machine learning systems across high-stakes domains. This role combines production ML engineering, frontier-model evaluation, AI safety, client advising, and technical leadership.

Build and deploy production-grade machine learning systems for government and commercial clients, bringing AI from the lab into real-world applications. The role combines hands-on ML engineering with client advisory, technical scoping, and solution architecture.

Lead the technical direction and delivery of large-scale machine learning platforms for high-impact public-sector applications. You’ll combine hands-on ML systems engineering with architectural leadership, team coaching, and client-facing technical decision-making.

Faculty is seeking a Senior Machine Learning Engineer to lead the development, deployment, and evaluation of secure, scalable AI systems for high-stakes national security and AI safety applications. The role bridges frontier AI research with production engineering while advising clients and mentoring engineers.

Lead the design, development, and deployment of scalable machine learning systems and LLM applications for high-stakes AI safety and national security missions. This senior role combines hands-on software engineering, technical leadership, client advisory work, and mentorship.

Build and deploy production-grade machine learning software and infrastructure for high-stakes AI safety and national security applications. The role combines hands-on engineering, technical architecture, client advising, and collaboration with frontier AI labs.