Senior Machine Learning Engineer, Robotics

Johnson & Johnson-posted 3 days ago
Full-time • Senior
Santa Clara, CA
5,001-10,000 employees
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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. 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)).
  • 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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