Faculty

Platform Engineer responsible for building secure, scalable cloud infrastructure and automated deployment solutions for complex, high-impact AI and national security projects. The role combines Kubernetes, infrastructure as code, production operations, and platform tooling with technical leadership and mentoring.

Faculty is hiring a Machine Learning Engineer to build and deploy production-grade machine learning systems for high-impact national security, AI safety, and commercial client projects. The role combines hands-on ML engineering, scalable infrastructure, architectural leadership, and technical client advisory work.

Faculty is hiring a Frontend Engineer to turn machine-learning insights into scalable, client-facing web applications for high-impact government and public-sector work. The role combines hands-on React development with frontend standards, reusable component libraries, mentoring, and technical leadership.

Build full-stack, AI-powered software for high-impact national security, AI safety, and global client missions at Faculty. You’ll work across frontend, backend, data pipelines, and cloud infrastructure alongside data scientists and product managers.

Faculty is seeking a Senior Software Engineer to lead the development and deployment of production-grade AI, machine learning, software, and infrastructure systems for life sciences clients. The role combines deep technical ownership with client advising, architectural leadership, and mentoring.

Lead Software Engineer responsible for setting technical direction and delivering complex AI and software projects across Faculty’s life sciences work. The role combines hands-on architecture and implementation with technical leadership, customer coaching, mentoring, and reusable engineering solutions.

Lead the development and deployment of production-grade machine learning systems while advising clients on high-impact AI challenges. This senior, client-facing role combines ML engineering, cloud infrastructure, technical leadership, and mentoring.

Build and deploy production-grade machine learning systems that solve high-impact client challenges across national security, government, and other critical industries. You’ll shape scalable ML architecture, establish deployment standards, and advise technical and non-technical stakeholders.