Sr. Machine Learning Engineer, Medical Imaging

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

Drive the full cycle of medical imaging analysis software development,

developing algorithms from R&D concepts into robust, commercial

- Design, prototype, and implement advanced medical imaging and

machine learning algorithms tailored for advanced lung structure

segmentation, registration, respiratory anomaly detection, and bronchial

- Apply and fine-tune state-of-the-art architectures, including nnU-Net,

- 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

- MS or PhD in Computer Science, Electrical Engineering, Biomedical

- 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

- Exceptional proficiency in Python and C++, with a deep understanding of modern

- Proven hands-on experience with ML frameworks and software toolkits, including

PyTorch, OpenCV, MONAI, ITK, VTK, and model optimization tools such as

- Experience or knowledge of the development of AI/ML features in strict alignment

with Good Machine Learning Practice (GMLP) principles, ensuring data

- Excellent verbal and written communication skills for effective cross-functional

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, Biomedical

• 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

• Exceptional proficiency in Python and C++, with a deep understanding of modern

• Proven hands-on experience with ML frameworks and software toolkits, including

PyTorch, OpenCV, MONAI, ITK, VTK, and model optimization tools such as

• Experience or knowledge of the development of AI/ML features in strict alignment

with Good Machine Learning Practice (GMLP) principles, ensuring data

• Excellent verbal and written communication skills for effective cross-functional

collaboration with clinical and engineering teams 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

Drive the full cycle of medical imaging analysis software development,

developing algorithms from R&D concepts into robust, commercial

• Design, prototype, and implement advanced medical imaging and

machine learning algorithms tailored for advanced lung structure

segmentation, registration, respiratory anomaly detection, and bronchial

• Apply and fine-tune state-of-the-art architectures, including nnU-Net,

• 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