Member of Technical Staff - ML Engineer Cambridge, MA | Hybrid, three days a week What if AI could run physics research and test whether its answers hold up? We’re hiring for a start up building exactly that, starting with the power and cooling challenges behind AI data centers. You’ll turn research code into reliable services and build the ML infrastructure that makes it possible. Join a small team with backgrounds including NVIDIA and Google, work directly with researchers and technical leadership, and take early ownership of systems people depend on. What you need: • 3+ years operating production ML training or inference infrastructure and building software used by others • Depth in one area: training, model serving, ML platforms or agent/gateway/evaluation infrastructure. • Experience turning research code into tested services and personally resolving production failures. Useful Extras: • CUDA or ML performance optimization experience. • Cloud infrastructure experience and experience working within research teams. If this sounds interesting and relevant to your experience, apply below for a chat about the team and role in more depth.