Staff Engineer, Ai/ Ml: Robotics & Digital Surgery - Ottava

Johnson & Johnson

Santa Clara, California, United States of America
Base: $118,000.00 to $179,035.50; bonus/equity: no...
Onsite
Ai/ml solutions in production
Manufacturing and industrial data
Python ml libraries
Lead the design, development, and implementation of analytics and artificial intelligence/machine learning solutions that provide both diagnostic and predictive insights to support real-time performance management and informed decision-making in intelligent, compliant operations

Job Summary

  • Lead the design, development, and implementation of analytics and artificial intelligence/machine learning solutions that provide both diagnostic and predictive insights to support real-time performance management and informed decision-making in intelligent, compliant operations.
  • Establish MLOps and governance practices (model versioning, experiment tracking, reproducibility, access control, audit trails) aligned to regulated manufacturing expectations (CSV, GxP where applicable).
  • Employees are eligible for medical, dental, vision, life insurance, and retirement plans, along with various paid time off benefits.

Matching Summary

Lead the design, development, and implementation of analytics and artificial intelligence/machine learning solutions that provide both diagnostic and predictive insights to support real-time performance management and informed decision-making in intelligent, compliant operations.

Salary

Base: $118,000.00 to $179,035.50; Bonus/Equity: Not specified; Benefits: 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

  • AI/ML solutions in production
  • manufacturing and industrial data
  • Python ML libraries
  • MLOps experience
  • SQL and data modeling
  • time-series and process analytics

Nice-to-have

  • digital manufacturing architectures
  • visualization and decision-support tools
  • collaboration with data engineering teams

Key Requirements

  • 7+ years of experience
  • Bachelor's or Master's degree
  • experience delivering ML/AI solutions into production
  • experience with manufacturing/industrial data sources
  • Strong Python skills
  • Hands-on MLOps experience
  • Proficiency in SQL
  • Applied expertise in time-series and process analytics
  • Experience with model governance and validation

Work Rights

Not specified

Tailored Resume

Cover Letter