Machine Learning Engineer

• Sunnyvale, CA, United States
• Not Remote
• Engineering
• JOB215667

### Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

### 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. The Ion R&D team is looking

for a gifted engineer to contribute to our PlanPoint software and robot

navigation, which together guide our physician users through the 3D

structure of the lung, to take a biopsy at a target location. As a machine

learning engineer on the Ion project, you will join a small team of experts in

medical imaging, robotics, and software. You will play a lead technical role,

working to conceptualize, design, and evaluate new solutions for medical

image insights. You will contribute across the product development life

cycle, taking algorithm concepts from initial prototypes to produc