Senior Machine Learning Engineer

Intuitive Surgical

Sunnyvale (CA)

On-site

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

Intuitive Surgical seeks a Senior Machine Learning Engineer to lead AI algorithm development for computer vision, deep learning, and robotics applied to next-generation surgical platforms. The role involves designing and implementing vision and multimodal models, advancing state-of-the-art techniques, and collaborating with clinical teams in Sunnyvale.

The ideal candidate has a strong publication record in top CV conferences, deep expertise in Python, C/C++, and shell scripting, and hands-on

Qualifications

  • Advanced degree with several years of CV/ML experience.
  • Strong publication record in CVPR, ICCV, MICCAL or equivalent conferences.
  • Proficiency in Python, C/C++, and shell scripting with hands-on DL framework experience.
  • Experience with GPU-accelerated algorithms and state-of-the-art AI models.
  • Solid understanding of control systems, robotics, kinematics, and dynamics.
  • Strong engineering practices, debugging/profiling, and multi-threaded programming.
  • Excellent written and verbal communication and collaboration in results-oriented environments.

Responsibilities

  • Lead research, design, and implementation of AI algorithms for computer vision and multimodal data systems.
  • Develop and integrate vision-action and vision-language-action models into surgical AI and robotics pipelines.
  • Create validation methods, datasets, and evaluation metrics for clinical dataset scalability.
  • Drive prototypes from concept through product integration and collaborate with clinical advisors for iterative improvements.
  • Support academic collaborations and advance state-of-the-art through patents and publications.

Skills

Computer vision
Machine learning
GPU acceleration
Robotics fundamentals
Multithreading
Communication
Debugging and profiling

Education

Master's degree in Computer Science/Engineering
PhD in a relevant field

Tools

Python
C/C++
Shell scripting
Deep learning frameworks

Job description

Intuitive Surgical seeks a Senior Machine Learning Engineer to lead AI algorithm development for computer vision, deep learning, and robotics applied to next-generation surgical platforms. The role involves designing and implementing vision and multimodal models, advancing state-of-the-art techniques, and collaborating with clinical teams in Sunnyvale.

Responsibilities
  • Lead research, design, and implementation of AI algorithms for computer vision and multimodal data systems
  • Develop and integrate vision-action and vision-language-action models into surgical AI and robotics pipelines
  • Create validation methods, datasets, and evaluation metrics for clinical dataset scalability
  • Drive prototypes from concept through product integration and collaborate with clinical advisors for iterative improvements
  • Support academic collaborations and advance state-of-the-art through patents and publications
Requirements
  • Master's degree with 6+ years industry experience in computer vision and machine learning, or PhD with 3+ years experience
  • Strong publication record in CVPR, ICCV, MICCAL, or equivalent conferences
  • Proficiency in Python, C/C++, and shell scripting with hands-on deep learning framework experience
  • Demonstrated expertise with GPU-accelerated algorithms and state-of-the-art AI models
  • Solid understanding of control systems, robotics, kinematics, and dynamics
  • Strong engineering practices, debugging/profiling skills, and multi-threaded programming experience
  • Excellent written and verbal communication with ability to work collaboratively in results-oriented environments
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