Principal Ai Lead – Surgical Ai

Johnson & Johnson MedTech

Santa Clara, California, United States of America
Base: $157,000.00 - $271,400.00; bonus/equity: eli...
Hybrid
Deep expertise in computer vision
Production deployment of ai models
Strong product competence for ml platforms
Johnson & Johnson MedTech is focused on shaping the future of digital surgery and expanding its robotics and digital solutions offerings across the entire portfolio

Job Summary

  • Johnson & Johnson MedTech is focused on shaping the future of digital surgery and expanding its robotics and digital solutions offerings across the entire portfolio.
  • The Principal AI Lead will own and drive technical direction across the full ML lifecycle, working with a multi-functional team to push the boundaries for surgical AI and make it widely accessible.
  • Employees are eligible for comprehensive benefits including retirement plans, long-term incentives, vacation, sick time, parental leave, and various other paid time off programs.

Matching Summary

Johnson & Johnson MedTech is focused on shaping the future of digital surgery and expanding its robotics and digital solutions offerings across the entire portfolio.

Salary

Base: $157,000.00 - $271,400.00; Bonus/Equity: Eligible for long-term incentive program; Benefits: Retirement plans, vacation, sick leave, parental leave, and other paid time off

Skills & Requirements

Must-have

  • Deep expertise in computer vision
  • Production deployment of AI models
  • Strong product competence for ML platforms
  • Advanced proficiency in PyTorch
  • Software engineering in Python
  • ML lifecycle ownership
  • Scalable ML system design

Nice-to-have

  • Experience with MLOps platforms
  • Mentoring ML engineering teams
  • Working with large-scale datasets
  • Foundation models and multimodal AI
  • AI in regulated healthcare environments
  • Cross-functional team collaboration
  • Developer and researcher platform building

Key Requirements

  • MS or PhD in related field
  • 10+ years machine learning experience
  • Experience with production ML systems
  • Strong communication and teamwork skills
  • Experience in regulated environments preferred
  • Prior leadership or mentoring experience

Work Rights

Not specified

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