Sr. Machine Learning Engineer, Medical Imaging

Intuitive; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Intuitive seeks a senior algorithm engineer to lead planning and guidance software for the Ion endoluminal system. You will develop algorithms for chest imaging analysis, focusing on CT/CBCT/X-ray fusion, lung structure segmentation, and target localization.

You will prototype architectures like nnU-Net and ViTs, and build production-ready pipelines in C++ for real-time performance on medical hardware, with documentation and patent work as part of the role.

Qualifications

• Experience translating R&D concepts into medical device software.
• Strong background in algorithms for lung imaging and analysis.
• Proficiency with C++ deployment in real-time medical systems.

Responsibilities

• Drive the full cycle of imaging analysis software development.
• Prototype and implement advanced imaging and ML algorithms.
• Apply nnU-Net, ViTs, DINO, and diffusion models to clinical data.
• Architect deployment pipelines for real-time production in C++.
• Prepare design documentation and support patent filings.

Skills

Medical imaging

Machine learning

Lung segmentation

C++ development

Education

MS/PhD in CS/EE/Biomedical Eng

Tools

nnU-Net

Vision Transformers

DINO

Diffusion models

Vision Language Models

Model deployment pipelines

Quantization

Pruning

Job description

Job Description

Primary Function of Position

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, system navigation, target localization, ultimately improving clinical outcomes.

Essential Job Duties:

• 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, target localization, 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.