Senior ML Infrastructure Engineer - Medical Imaging

Epsilon Health in San Francisco is seeking an ML infrastructure engineer to design and build the core systems for scalable training of large models in medical imaging research. You will enable fast experimentation and reliable training, collaborating with researchers to ship production-ready code from experimentation to deployment. Join a mission-driven startup to own distributed training, RL infrastructure, and inference pipelines, ensuring models move smoothly from research to clinical impact #J-18808-Ljbffr