Staff Machine Learning Engineer, Robotics

Johnson & Johnson

Santa Clara, California, United States
$141,000 to $227,700 usd; not specified; medical, ...
Hybrid
Ml algorithms for robotic manipulation
Ml model deployment
Python for prototyping
Inventing the future of robotic surgery with OTTAVA, a next-generation soft-tissue surgical robot leveraging AI/ML

Job Summary

  • Inventing the future of robotic surgery with OTTAVA, a next-generation soft-tissue surgical robot leveraging AI/ML.
  • Develop and implement ML algorithms for surgical robotic manipulation, building pipelines for data collection, training, testing, and deployment.
  • Johnson & Johnson offers a comprehensive benefits package including medical, dental, vision, retirement plans, and generous time off.

Matching Summary

Inventing the future of robotic surgery with OTTAVA, a next-generation soft-tissue surgical robot leveraging AI/ML.

Salary

$141,000 to $227,700 USD; Not specified; Medical, dental, vision, life insurance, disability, retirement plan, savings plan, long-term incentive program, vacation, sick time, holiday pay, work/personal/family time, parental leave, condolence leave, caregiver leave, volunteer leave, military spouse time-off

Skills & Requirements

Must-have

  • ML algorithms for robotic manipulation
  • ML model deployment
  • Python for prototyping
  • C++ for deployable code
  • Deep learning frameworks
  • Simulation platforms for robotics

Nice-to-have

  • Mentoring team members
  • Driving innovation
  • Working in regulated environment
  • Critical thinking
  • Problem solving
  • Process improvements

Key Requirements

  • PhD/MS in Machine Learning, Computer Science, Robotics, or related field
  • 3+/6+ years of work experience
  • 3+ years implementing and deploying ML models for robotic manipulation
  • Experience with large multimodal ML models
  • Mastery of Python and C++
  • Proficiency in PyTorch or TensorFlow
  • Experience with simulation platforms
  • Understanding of robot kinematics, dynamics, sensing, and control
  • Ability to travel up to 5%
  • Ability to work in a regulated environment

Work Rights

Not specified

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