Research Scientist - Computer Vision

epsilon-health· Epsilon Health
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📍 San Francisco, CAFullTime

About this role

About Us

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.

Role Overview

We're seeking a Research Scientist with deep expertise in Computer Vision to join our ML team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on training and scaling vision encoders for radiology diagnosis across multiple modalities including X-rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment.

Key Responsibilities

  • Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised / contrastive learning frameworks.

  • 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, establishing best practices for training robust medical imaging models at scale.

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). Strong foundation in contrastive learning, self-supervised learning, and foundation model pretraining.

  • 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

Preferred Qualifications

  • Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI)

  • Experience with 3D medical image processing and retrieval tasks

  • Knowledge of vision-language models and multimodal learning

  • Experience with model interpretability and explainability methods

  • Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.)

Frequently Asked Questions

Is the salary disclosed for the Research Scientist - Computer Vision position at epsilon-health?
The salary for this Research Scientist - Computer Vision role at epsilon-health is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Research Scientist - Computer Vision position at epsilon-health located?
This Research Scientist - Computer Vision role at epsilon-health is based in San Francisco, CA. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Research Scientist - Computer Vision role at epsilon-health full-time or part-time?
This is listed as a FullTime position. It is posted as a Research Scientist - Computer Vision role in the Epsilon Health department at epsilon-health.
Which team or department does the Research Scientist - Computer Vision at epsilon-health belong to?
This Research Scientist - Computer Vision position is part of the Epsilon Health department at epsilon-health. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Research Scientist - Computer Vision position at epsilon-health?
Click the "Apply Now" button on this page. You will be redirected to epsilon-health's official application portal hosted on ashby where you can submit your application directly.
When was the Research Scientist - Computer Vision job at epsilon-health posted?
This Research Scientist - Computer Vision position at epsilon-health was posted on Jan 7, 2026. Apply as soon as possible — early applications are often reviewed first.
Research Scientist - Computer Vision
epsilon-health
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