Senior Machine Learning Engineer, Robotics

Johnson & Johnson-posted 1 day ago
Full-time • Senior
Santa Clara, CA
5,001-10,000 employees
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At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com About MedTech Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech We are searching for the best talent for Senior Machine Learning Engineer, Robotics to be located in Santa Clara, CA Johnson & Johnson MedTech is inventing the future of robotic surgery with OTTAVA. This next-generation soft-tissue surgical robot will leverage advancements in AI/ML, connect health data inside and beyond the operating room, and deliver clinical innovations for patients and care teams. Purpose: We are looking for a highly skilled and innovative Senior Machine Learning Engineer to apply the latest advances in learning-based manipulation to improve the performance and safety of surgical robotics. In this hands-on role you will rapidly design models, implement algorithms, and bring ML-trained manipulation behaviors from research to real-world robotic hardware in unstructured environments. As a senior member of the team, you will be responsible for mentoring engineers and elevating the team's overall technical capabilities.

  • Develop and implement ML algorithms for surgical robotic manipulation
  • Build pipelines for data collection, training, testing and deployment of ML models
  • Leverage simulation for prototyping, training, and transfer to robot hardware
  • Define and evaluate performance metrics for surgical tasks and implement rigorous testing protocols
  • Collaborate with software and controls teams to deploy learned policies and ensure safe and reliable execution
  • Optimize models for onboard real-time performance on robotic hardware
  • Stay current with the latest robotics and AI research, mentor team members, and drive innovation
  • PhD/MS in Machine Learning, Computer Science, Robotics, or related field and 0+/3+ years of work experience
  • 3+ years of hands-on experience implementing and deploying ML models for robotic manipulation and experience with large multimodal ML models
  • Mastery of Python for prototyping and C++ for performant, deployable code
  • Strong proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Strong experience with simulation platforms (e.g., MuJoCo, Isaac Sim, PyBullet) and sim-to-real transfer
  • Understanding of robot kinematics, dynamics, sensing, and control
  • Ability to travel up to 5%, domestic and international is required
  • Computer Programming
  • Cost-Benefit Analysis (CBA)
  • Critical Thinking
  • Data Science
  • Industrial Robotics
  • Industry Analysis
  • Innovation
  • Manufacturing Technologies
  • Problem Solving
  • Process Improvements
  • Prototyping
  • Relationship Building
  • Research and Development
  • Robotic Automation
  • Robotic Control Software
  • SAP Product Lifecycle Management
  • Technical Credibility
  • Technologically Savvy
  • medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance
  • Company’s consolidated retirement plan (pension) and savings plan (401(k))
  • Company’s long-term incentive program
  • Vacation –120 hours per calendar year
  • Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
  • Holiday pay, including Floating Holidays –13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
  • Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
  • Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
  • Caregiver Leave – 10 days
  • Volunteer Leave – 4 days
  • Military Spouse Time-Off – 80 hours
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