Senior Machine Learning Engineer - Robotics

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 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 https://www.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.  

• Expo