Senior Scientist, AI / ML & Computer Vision
Core
Developing advanced computer vision models for medical imaging applications (echocardiography, CT) to support clinical decision-making and product development in structural heart disease.
Role type
Senior IC machine-learning engineer (medical computer vision)
Builds
Production ML models and digital solutions for medical imaging
Domain
Healthcare / Medical Imaging / Computer Vision
Deliverable
production ML models
Required skills
Deep learning model design and validation, Medical image analysis (segmentation, landmark detection, measurement), Generalization across vendors/protocols, MLOps and bias evaluation, Cloud computing (AWS/Azure), Python, PyTorch/TensorFlow, DICOM data handling
Preferred skills
MS/PhD in CV/Biomedical Engineering, 5-10 years CV experience, Foundation model development (transformers, diffusion), Self-supervised learning, Software as a Medical Device (SaMD) experience, GMLP knowledge, C++/Rust
Technologies
PyTorch, TensorFlow, Keras, OpenCV, scikit-image, AWS, Azure, Snowflake, Databricks, Git
Responsibilities
Design, train, and validate DL models for medical imaging; Develop AI capabilities for segmentation and clinical decision support; Advance in-house foundation models; Ensure model generalization across vendors; Partner with regulatory teams for validation; Evaluate models for bias and performance drift; Build end-to-end data pipelines; Deploy scalable models to production.
Seniority
Senior, hands-on IC