A stealth AI research lab building Physical AI is seeking a Machine Learning Infrastructure Lead to join its core team. The lab is already executing on commercial projects, with contracts in place and active collaboration across a highly technical group that includes alumni and contributors from MIT, Caltech, OpenAI, and leading industry labs. This is an opportunity to take ownership of the systems that power advanced AI models from training through real-world deployment.

The Machine Learning Infrastructure Lead will be responsible for designing, building, and scaling the lab's training and inference infrastructure. This is a senior, hands-on role focused on enabling rapid research iteration while delivering production-grade reliability for deployed systems interacting with the physical world.

You will work closely with research, robotics, and applied teams to translate cutting-edge models into robust, scalable systems. The ideal candidate has built and operated ML infrastructure in environments where performance, reliability, and scale are critical.

• 4+ Years' exp. in SW/ML Engineering - strong focus on Infra & Systems
• Significant hands-on experience with ML training and inference systems in production
• Deep familiarity with PyTorch, JAX, or TensorFlow and large-scale training frameworks
• Experience managing GPU clusters (cloud and/or on-prem), orchestration, and scheduling
• Proven ability to partner closely with research teams to productionize models

This is an early-stage venture that will offer true ownership and growth. You will be building in a new, unsaturated space with vast potential.