Sr. Machine Learning Engineer, Medical Imaging

Intuitive•Sunnyvale, CA

17d

About The Position

The Sr. Machine Learning Engineer will play a lead technical role in conceptualizing, designing, and evaluating next-generation planning and guidance software for Intuitive’s Ion endoluminal robotic platform, which supports minimally invasive biopsy in the peripheral lung. The role develops algorithms to analyze chest medical images for complex lung diseases, with a focus on processing and fusing CT, CBCT, and X-ray images for lung structure segmentation, system navigation, and target localization to improve clinical outcomes. The engineer drives medical imaging analysis software development from R&D concepts through robust commercial medical-device products. The position designs, prototypes, and implements imaging and machine learning algorithms, adapts advanced model architectures for clinical datasets, and integrates optimized models into high-performance C++ production environments. It also supports system integration and testing and produces formal design documentation and patent applications.

Requirements

MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field.
At least 5 years of hands-on industrial experience in algorithm development, specializing in medical imaging and computer vision.
Exceptional proficiency in Python and C++.
Deep understanding of modern software component design for production environments.
Hands-on experience with ML frameworks and software toolkits including PyTorch, OpenCV, MONAI, ITK, and VTK.
Experience with model optimization tools such as TensorRT or ONNX.
Experience or knowledge of developing AI/ML features in alignment with Good Machine Learning Practice (GMLP) principles, including data representativeness and model transparency.
Excellent verbal and written communication skills for cross-functional collaboration with clinical and engineering teams.

Nice To Haves

A proven track record of shipping commercial AI/ML software products.

Responsibilities

Drive the full cycle of medical imaging analysis software development, developing algorithms from R&D concepts into robust commercial medical-device products.
Design, prototype, and implement algorithms for lung structure segmentation, registration, target localization, respiratory anomaly detection, and bronchial analysis.
Apply and fine-tune advanced architectures, including nnU-Net, Vision Transformers (ViTs), DINO, Diffusion models, and Vision Language Models (VLMs), for clinical datasets.
Architect and execute model deployment pipelines, integrating trained models into high-performance C++ production environments.
Optimize models for real-time performance on constrained medical systems using techniques such as quantization, pruning, and hardware acceleration.
Support system integration and testing.
Generate formal design documentation and patent applications.