Staff Software Engineer / Machine Learning Engineer - Radiology
Core
Develop advanced ML/DL and foundational AI models for medical imaging segmentation, quantification, and detection across CT, MRI, and X-ray to support clinical translation and regulatory clearance.
Role type
Staff Software Engineer / Machine Learning Engineer (Medical Imaging)
Builds
Production-ready AI models and scalable pipelines for multi-institutional medical imaging data
Domain
Healthcare / Medical Imaging / Radiology
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, CNNs, transformers, 2D/3D model architecture design, data preprocessing pipelines, regulatory documentation, version control (Git), quantitative imaging methods (volumetrics, biomarkers)
Preferred skills
FDA 510(k) or De Novo submission experience, Good Machine Learning Practice (GMLP), DICOM workflows, LLM-based coding agents, cloud/HPC environments, clinical deployment experience
Technologies
PyTorch, TensorFlow, Git, LLM coding agents
Responsibilities
Develop and validate state-of-the-art ML/DL models for segmentation, quantification, and detection; Design and implement 2D and 3D model architectures; Build scalable pipelines for data preprocessing, training, evaluation, and deployment; Produce regulatory-grade documentation for datasets and model validation; Collaborate with radiologists and engineering teams to define clinically meaningful outputs; Ensure reproducibility and traceability of experiments; Support FDA 510(k) and De Novo submissions with technical documentation and validation evidence
Seniority
Staff, hands-on IC with strategic oversight