Imaging Data Scientist, ML Engineer, Computer Vision
Core
Train and refine AI models for musculoskeletal ultrasound to generate quantitative metrics for athlete performance and injury risk.
Role type
Senior IC machine-learning engineer (computer vision)
Builds
On-device and cloud-based analysis services for ultrasound imaging
Domain
Sports science, medical imaging, computer vision
Deliverable
production ML models
Required skills
Python, deep learning (TensorFlow/Keras, PyTorch), computer vision (image segmentation, object detection), MLOps, model evaluation, reproducible training, data de-identification
Preferred skills
medical/scientific imaging, DICOM, physical calibration, CoreML/ONNX deployment, transformer-based segmentation (SAM), MLOps (GPU scheduling, containerized inference), iOS/mobile integration
Technologies
Python, TensorFlow, Keras, PyTorch, OpenCV, scikit-learn, pydicom, SimpleITK, CoreML, ONNX, Docker, JSON-Schema
Responsibilities
Train and package on-device navigation models; build image processing pipelines for DICOM and raw imagery; manage labeling workflows with de-identified data; partner with clinical teams to define labeling standards; maintain model versioning and regression testing; collaborate with mobile and full-stack engineers on shared contracts
Seniority
Senior, hands-on IC with broad scope