Lead Vision Foundation Scientist, Medical Imaging AI

Epsilon Health; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Epsilon Health in San Francisco is seeking a Research Scientist to lead the development of vision foundation models for medical imaging. You will scale encoders for X-ray, CT, and MRI, including 3D volumetric data, ensuring clinical-grade reliability.

You will work across data curation, model design, distributed training, and production deployment to accelerate real-world impact. Join a world-class ML Research team pushing frontier AI into clinical practice, publishing results, and collaborating

Qualifications

• 6+ years of academia/industry experience in computer vision/machine learning.
• Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt).
• Experience training on volumetric or spatiotemporal data (video, 3D medical imaging).
• Track record of implementing complex models from research papers and adapting them to new domains
• Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems
• Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI)
• Strong software engineering skills and ability to write production-quality code

Responsibilities

• Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised, contrastive, masked image modeling, and JEPA frameworks.
• Extend 2D pretraining recipes to volumetric CT and MR data, addressing long sequence lengths and multi-sequence studies.
• Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data.
• Contribute hands-on to dataset curation, architecture design, distributed training, and production deployment.
• Stay current with cutting-edge research in computer vision and medical imaging AI.
• Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale.

Skills

Vision foundation models

Self-supervised pretraining

Volumetric data

Multi-GPU training

PyTorch

JAX

Medical imaging

Tools

PyTorch

JAX

DICOM basics

Job description

Epsilon Health in San Francisco is seeking a Research Scientist to lead the development of vision foundation models for medical imaging. You will scale encoders for X-ray, CT, and MRI, including 3D volumetric data, ensuring clinical-grade reliability.

You will work across data curation, model design, distributed training, and production deployment to accelerate real-world impact. Join a world-class ML Research team pushing frontier AI into clinical practice, publishing results, and collaborating