Radiology Vision AI Scientist: Scale & Pretraining

Epsilon Health; San Francisco (CA); On-site; USD 170,000 - 260,000; Full time

Job summary

Epsilon Health is seeking a Research Scientist to advance vision foundation models for radiology applications, including X-ray, CT, and MRI. You will pretrain and scale encoders, contribute to 3D medical imaging research, and collaborate with the ML Research team to push the boundaries of AI-assisted diagnosis.

You will extend 2D methods to volumetric data, evaluate models on benchmarks and live data, and publish findings while shaping production-ready solutions for clinical deployment.

Qualifications

• 6+ years in computer vision or machine learning
• Deep expertise in training vision encoders at scale (e.g., ViT, ConvNeXt)
• Experience training on volumetric or spatiotemporal data
• Track record of implementing models from papers to production
• Proficiency in PyTorch or JAX; multi-GPU training
• Hands-on experience with medical imaging applications (radiology)
• Strong software engineering and 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 all stages of model development including 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.

Skills

Vision foundation models

Self-supervised learning

Volumetric data training

3D medical imaging

Distributed training

Production-grade code

Medical imaging domain knowledge

Tools

PyTorch

JAX

Multi-GPU training

Job description

Epsilon Health is seeking a Research Scientist to advance vision foundation models for radiology applications, including X-ray, CT, and MRI. You will pretrain and scale encoders, contribute to 3D medical imaging research, and collaborate with the ML Research team to push the boundaries of AI-assisted diagnosis.

You will extend 2D methods to volumetric data, evaluate models on benchmarks and live data, and publish findings while shaping production-ready solutions for clinical deployment.