Machine Learning Engineer, Medical Imaging

Job Description
The Ion™ endoluminal system is Intuitive's new robotic platform for minimally
invasive biopsy in the peripheral lung, with an initial goal of improving the early
diagnosis of lung cancer. We are seeking a senior algorithm engineer to play a
lead technical role in conceptualizing, designing, and evaluating our next-
generation planning and guidance software. This role is dedicated to developing
advanced algorithms to analyze chest medical images for complex lung
diseases. This role focuses heavily on the processing and fusion of diverse
imaging modalities—including CT, CBCT, and X-ray images—to perform robust
lung structure segmentation, anomaly detection, and longitudinal disease
tracking, ultimately improving clinical outcomes
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 advanced medical imaging and
machine learning algorithms tailored for advanced lung structure
segmentation, registration, respiratory anomaly detection, and bronchial
analysis.
• Apply and fine-tune state-of-the-art architectures, including nnU-Net,
Vision Transformers (ViTs), DINO, Diffusion models, and Vision
Language Models (VLMs), for clinical datasets.
• Architect and execute model deployment pipelines, seamlessly
integrating trained models into high-performance C++ production
environments, utilizing techniques like quantization, pruning, and hardware acceleration to ensure real-time
performance on constrained medical systems.
• Support system integration and testing while
generating formal design documentation and
patent applications.
Qualifications
• MS or PhD in Computer Science, Electrical Engineering, Biomedical
Engineering, or a related field.
• 5+ years of hands-on industrial experience in algorithm development, with a deep
specialization in medical imaging and computer vision. A proven track record of
shipping commercial AI/ML software products is bonus.
• Exceptional proficiency in Python and C++, with a deep understanding of modern
software component design for production environments.
• Proven hands-on experience with ML frameworks and software toolkits, including
PyTorch, OpenCV, MONAI, ITK, VTK, and model optimization tools such as
TensorRT or ONNX.
• Experience or knowledge of the development of AI/ML features in strict alignment
with Good Machine Learning Practice (GMLP) principles, ensuring data
representativeness and model transparency.
• Excellent verbal and written communication skills for effective cross-functional
collaboration with clinical and engineering teams

Employment type
Full-time

Work arrangement
No