Future Opportunity - Machine Learning Engineer

Intuitive; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Intuitive's Ion endoluminal system is a robotic platform for minimally invasive biopsy in the peripheral lung. As an algorithms engineer on the Ion project in Sunnyvale, you will join robotics and software experts to concept, design, and evaluate guidance software that fuses CT, CBCT, X-ray fluoroscopy, and real-time video to improve navigation and outcomes.

You will own the full cycle of medical imaging software development, translate clinical requirements into technical specs, and prototype

Qualifications

• Drive the full cycle of medical imaging software development.
• Translate clinical requirements into detailed technical specifications.
• Design, prototype, and implement user-facing software and advanced algorithms for medical imaging, computer vision, and ML.
• Apply state-of-the-art techniques such as nnUnet, Vision Transformers, DINO, diffusion models, and VLMs to navigation challenges.
• Support AI/ML features in line with Good Machine Learning Practice (GMLP).
• Support system integration and testing while generating design documentation and patent applications.

Responsibilities

• Drive the full cycle of the development of medical imaging analysis software, from clinical requirement analysis to production-ready code.
• Understand complex clinical requirements and develop detailed technical specifications.
• Design, prototype, and implement user-facing software and advanced algorithms for medical imaging, computer vision, and machine learning.
• Apply state-of-the-art techniques such as nnUnet, Vision Transformers (ViTs), DINO, Diffusion models, and Vision Language Models (VLMs) to endoluminal navigation challenges.
• Support the development of AI/ML features in alignment with Good Machine Learning Practice (GMLP) principles, ensuring data representativeness and model transparency.
• Support system integration and testing while generating formal design documentation and patent applications

Skills

Medical imaging analysis

Computer vision

Machine learning

Python

Algorithms

Tools

nnU-Net

Vision Transformers

DINO

Diffusion models

Vision Language Models

Job description

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. As an algorithms engineer on the Ion project, you will join a team of robotics and software experts. You will play a lead technical role, working to conceptualize, design, and evaluate new aspects of a guidance software solution. This role focuses on the processing and fusion of diverse imaging modalities—including CT, CBCT, X-ray fluoroscopy, and real-time camera video streams—to improve surgical navigation and clinical outcomes.

• Drive the full cycle of the development of medical imaging analysis software, from clinical requirement analysis to production-ready code.
• Understand complex clinical requirements and develop detailed technical specifications.
• Design, prototype, and implement user-facing software and advanced algorithms for medical imaging, computer vision, and machine learning.
• Apply state-of-the‑art techniques such as nnUnet, Vision Transformers (ViTs), DINO, Diffusion models, and Vision Language Models (VLMs) to endoluminal navigation challenges.
• Support the development of AI/ML features in alignment with Good Machine Learning Practice (GMLP) principles, ensuring data representativeness and model transparency.
• Support system integration and testing while generating formal design documentation and patent applications