Software Engineer - ML Infrastructure

We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place.

We're seeking a Software Engineer to build the ML infrastructure and data systems that let our research team train and ship state-of-the-art models for medical imaging. Sitting in the Engineering team and working closely with research, you'll own the data pipelines that unify live production traffic with offline datasets, the distributed training and reinforcement learning infrastructure our foundation-model and post-training work runs on, and the inference and evaluation systems that carry models from experimentation into production. This role requires someone who can move fluidly between ML systems, data engineering, distributed training, and production deployment, and who measures success by how quickly the research team can iterate.