Intuitive (Intuitive Surgical)

Staff Machine Learning Engineer

Sunnyvale, CA, US$195,200-$330,400Posted 7 days ago

Job Description

  • Sunnyvale, CA, United States
  • Not Remote
  • Engineering
  • JOB217277

### 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

We are developing next-generation AI and machine learning capabilities for the da Vinci robotic surgical platform. As a Staff Machine Learning Engineer, you will lead the design and development of perception and scene understanding systems that interpret surgical imagery in real time, enabling intelligent features that enhance surgeon awareness and decision-making during minimally invasive procedures.

This role spans deep learning for surgical image understanding, probabilistic spatial modeling, and 3D scene reasoning. You will build ML systems that operate on endoscopic visual data and integrate multiple sources of clinical and anatomical information to support the surgical workflow. Your work will directly shape how our next-generation robotic systems leverage AI to improve the surgical experience and patient outcomes.

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