Epsilon Health
Research Scientist - Vision Foundation Models
San Francisco, CA
Sponsorship not specifiedDetected 1 day ago
Distributed SystemsMachine LearningPyTorchComputer VisionHL7/FHIRRadiologyResearch
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About the role
- We're seeking a Research Scientist with deep expertise in vision foundation models to join our ML Research team.
- This role focuses on pretraining and scaling vision encoders for radiology diagnosis across X-ray, CT, and MRI, with a growing emphasis on 3D volumetric modeling.
Responsibilities
- Contribute hands-on to all stages of model development including dataset curation, architecture design, distributed training, and production deployment.
Requirements
- 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
- Strong software engineering skills and ability to write production-quality code
- 6+ years of academia/industry experience in computer vision/machine learning
- Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in self-supervised pretraining, including contrastive, masked image modeling, self-distillation, and JEPA-style objectives.
- Experience training on volumetric or spatiotemporal data (video, 3D medical imaging)
- Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI)
- Experience with 3D medical image processing and retrieval tasks
- Knowledge of vision-language models and multimodal learning
Nice to have
- Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI)
- Familiarity with CT and MR acquisition (windowing, multi-sequence protocols, voxel spacing)
- Experience with long-context training techniques (sequence parallelism, efficient attention)
- Experience with model interpretability and explainability methods
Benefits
- You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications.
- 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.
Company info
- 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.
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