Staff AI/ML Engineer
Core
Develop advanced machine learning and deep learning solutions for optical coherence tomography (OCT)–based intravascular imaging systems to automatically identify and characterize anatomical and interventional features.
Role type
Staff AI/ML Engineer (Medical Imaging)
Builds
Regulated medical device products integrating AI/ML algorithms for clinical diagnostics
Domain
Healthcare / Medical Devices / Cardiovascular Imaging
Deliverable
production ML models
Required skills
Deep learning architectures (CNNs, Vision Transformers), Semantic segmentation, Object detection, Image classification, Python programming, PyTorch/TensorFlow, Statistical validation methods, Model optimization for embedded systems, End-to-end ML lifecycle management
Preferred skills
OCT/IVUS/CT/MRI imaging modalities, Multi-modal image registration, 3D volumetric/temporal imaging datasets, Foundation models, Generative AI, Self-supervised learning, ONNX/TensorRT/TorchScript, MLOps workflows, FDA design controls and V&V
Technologies
PyTorch, TensorFlow, ONNX, TensorRT, TorchScript
Responsibilities
Design and deploy ML models for image segmentation and feature detection; Lead development of semantic segmentation algorithms; Own end-to-end ML lifecycle from data preparation to deployment; Collaborate with clinical teams to define evaluation metrics; Optimize models for real-time inference in embedded environments; Generate technical documentation for regulatory submissions
Seniority
Staff, hands-on IC with strategic oversight