Senior Machine Learning Engineer (Clinical Team)
Core
Own tissue-class segmentation and labeling models for ultrasound CT clinical analysis, managing pipelines for 2D, 3D, and fused volumetric inputs.
Role type
Senior IC machine-learning engineer (medical imaging segmentation)
Builds
Productionized, versioned, HIPAA-bound analysis service with reproducible inference and drift monitoring
Domain
Healthcare / Medical Imaging (Ultrasound, CT)
Deliverable
production ML models
Required skills
Image segmentation (2D/3D/volumetric), Deep learning (PyTorch), Model training and evaluation from scratch, Data labeling specs and QC, HIPAA-compliant deployment, Drift monitoring
Preferred skills
U-Net / nnU-Net / 3D U-Net / SAM architectures, Self-supervised/semi-supervised learning, Data curation with MONAI/ITK/SimpleITK, Physics-based imaging domains (CT/MRI/Ultrasound), Anatomy background
Technologies
PyTorch, MONAI, ITK, SimpleITK, 3D Slicer, SAM
Responsibilities
Define training/evaluation pipelines and datasets, Work with clinicians and contractors on labeling specs, Productionize models for low-latency inference, Monitor model drift and implement safe fallbacks
Seniority
Senior, hands-on IC