Jobs

Epsilon Health is seeking an experienced ML Infrastructure Engineer to design and build core systems for scalable and efficient training of large models, directly impacting patient outcomes in medical imaging and diagnostics. This role involves partnering with researchers to develop distributed training and reinforcement learning infrastructure for foundation models, ensuring fast and reliable experimentation. The ideal candidate will have 6+ years in distributed systems, 2+ years in ML infrastructure, strong Python skills with PyTorch or JAX, and deep experience with Kubernetes and distributed training at scale.