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/industrial data sources
Python, ml libraries, data processing
The Staff Engineer will lead the design, development, and implementation of analytics and AI/ML solutions for data-driven manufacturing within the supply chain

Job Summary

  • The Staff Engineer will lead the design, development, and implementation of analytics and AI/ML solutions for data-driven manufacturing within the supply chain.
  • Key responsibilities include defining technical requirements, leading end-to-end delivery of ML solutions, and establishing MLOps and governance practices.
  • The role requires collaboration with various departments to deliver practical solutions that generate measurable business benefits and support scaling of future operations.

Matching Summary

The Staff Engineer will lead the design, development, and implementation of analytics and AI/ML solutions for data-driven manufacturing within the supply chain.

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, paid time off

Skills & Requirements

Must-have

  • AI/ML solutions in production
  • Manufacturing/industrial data sources
  • Python, ML libraries, data processing
  • MLOps, CI/CD, model serving
  • SQL, data modeling, cloud data services
  • Time-series and process analytics
  • Model governance and compliance

Nice-to-have

  • Digital manufacturing architectures
  • Visualization and decision-support tools
  • Collaboration with data engineering teams

Key Requirements

  • 7+ years of experience delivering analytics/ML solutions
  • Bachelor's or Master's degree in quantitative field
  • Experience with regulated industries preferred
  • Experience with manufacturing/industrial data
  • Hands-on MLOps experience
  • Proficiency in SQL and data modeling
  • Applied expertise in time-series and process analytics
  • Experience with model governance and compliance

Work Rights

Not specified

Tailored Resume

Cover Letter