Intuitive

Senior Machine Learning Engineer

Full-time · Sunnyvale, CA
✓ Verified live on the employer's own system · added 47 days ago
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Junior · 1+ yr exp

Requirements

Education: Doctorate

Experience: 1+ year

Skills & tools

Machine LearningData AnalysisPythonC Plus PlusRecordkeeping
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Full 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 production

- Work as part of a cross-functional team in a fast-paced, start-up-like

- Develop new algorithms and software implementations for computer

Prototype and iterate on designs, develop tests, and deliver high-

- Participate in failure mode assessment, to identify and implement

- Maintain practical knowledge of state-of-the-art computer vision and

- Master degree and 4 years of experience; or a PhD and 1 or more years of experience; or equivalent

- Demonstrated expertise in medical image analytics, computer vision,

- Exceptional working knowledge of Python and/or C++ programming

- Great communication, presentation, and documentation skills

- Knowledge of one or more of the following libraries and tools:

PyTorch, TensorFlow, ITK, OpenCV, or other image insights toolkits

- Project experience in medical devices or another regulated industry

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

  • Master degree and 4 years of experience; or a PhD and 1 or more years of experience; or equivalent
  • Demonstrated expertise in medical image analytics, computer vision,
  • Exceptional working knowledge of Python and/or C++ programming
  • Great communication, presentation, and documentation skills
  • Knowledge of one or more of the following libraries and tools:

PyTorch, TensorFlow, ITK, OpenCV, or other image insights toolkits

  • Project experience in medical devices or another regulated industry 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 production

  • Work as part of a cross-functional team in a fast-paced, start-up-like
  • Develop new algorithms and software implementations for computer

Prototype and iterate on designs, develop tests, and deliver high-

  • Participate in failure mode assessment, to identify and implement
  • Maintain practical knowledge of state-of-the-art computer vision and

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This posting was published by Intuitive on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.