Epsilon Health
Research Engineer / Research Scientist, Vision Foundation Models
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- On-site · San Francisco, CA
- Added 1 month ago
About this role
Epsilon Health is seeking a Research Engineer or Research Scientist to advance vision foundation models for medical imaging. This role focuses on developing, pretraining, and scaling vision encoders using cutting-edge techniques like self-supervised and contrastive learning, with a direct feedback loop from real-world clinical data to improve patient outcomes.
What you'll do
- Design, pretrain, and scale vision foundation models for X-ray, CT, and MRI images.
- Explore novel approaches to self-supervised and contrastive learning.
- Develop architectures for visual representation learning.
- Extend models to volumetric CT and MRI data.
- Oversee research from initial hypothesis to deployment.
- Define and implement rigorous evaluation methods for model performance.
What they're looking for
- Computer Vision
- Visual Representation Learning
- Self-Supervised Learning
- PyTorch or JAX
- Large-Scale Distributed Training
- Medical Imaging
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Epsilon Health
- Industry
- Technology & Software
Likely interview questions
- Describe a time you had to troubleshoot a performance bottleneck in a large-scale computer vision model.
- Explain your experience with different self-supervised learning techniques and when you would choose one over another.