Senior Machine Learning Engineer, Robotics

Johnson & Johnson Innovative Medicine•Santa Clara, CA

51d

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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

Benefits

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