Senior Machine Learning Engineer - Robotics

Overview 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 jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Details Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Santa Clara, California, United States of America Job Description: We are searching for the best talent for Senior Machine Learning Engineer - Robotics to be in Santa Clara, CA. 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 jnj.com/medtech 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. You will be responsible for Developing and implementing ML algorithms for surgical robotic task automation. Building 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. Qualifications / 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 experience in C++ for deployment on robotic hardware. Strong proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow). Experience optimizing ML models for real-time performance on robotic hardware. Strong experience with simulation platforms (e.g., MuJoCo, Isaac Sim) and sim-to-real transfer. Understanding of robot kinematics, dynamics, sensing, and control. Preferred Experience Familiarity with build tools and version control systems. Exposure to agile development processes, CI/CD, and issue tracking tools. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JNJDataScience #JNJMedTech-DS Skills Required Skills: Machine Learning Algorithms, Python (Programming Language), Robotics Preferred Skills: Critical Thinking, Dev-C++, Industry Analysis, Innovation, Problem Solving, Process Improvements, Prototyping, Research and Development, Robotic Automation, Robotic Control Software, Vision-Language-Action Models (VLAs) for Robots Compensation The anticipated base pay range for this position is : The anticipated base range for this position is $125,000 to $201,250 USD Pay Transparency Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: 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. Additional information can be found at the referenced benefits site. #J-18808-Ljbffr Johnson & Johnson