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AI​/ML Software Engr, Navigation

Job in Boston, Suffolk County, Massachusetts, 02133, USA
Listing for: J&J Family of Companies
Full Time position
Listed on 2026-07-26
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position: Staff AI/ML Software Engr, Navigation
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 Med Tech, 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  

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:*
* R&D Product Development

** Job Sub*
* ** Function:*
* R&D Software/Systems Engineering

** Job Category:*
* Scientific/Technology

** All Job Posting Locations:*
* Boston, Massachusetts, United States of America, Warsaw, Indiana, United States of America

*
* Job Description:

*
* ** About Orthopaedics*
* Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of Orthopaedics? Ready to join a team that's reimagining how we heal? Our Orthopaedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports, extremities, and elective foot and ankle;

spine; and robotics and digital surgery.

Your unique talents will help patients on their journey to wellness. Learn more at  

We are hiring for Staff AI/ML Software Engineer in a hybrid role to be based out of Warsaw, IN or Boston, MA.

*
* Purpose:

*
* As a Staff AI/ML Software Engineer in the Navigation R&D team, you will architect, plan and lead the AI/ML development and integration for next‑generation surgical navigation and planning systems. You'll collaborate closely with a cross-functional team of software, systems, hardware, firmware, quality, and regulatory partners to deliver safe, reliable, and scalable software that directly impacts patient outcomes.

*
* Job Responsibilities:

*
* + Be a key contributor in the evolution of DePuy Synthes' AI/ML platform for flexible machine learning model training, fine-tuning, transformation and evaluation use cases across various surgical navigation initiatives.

+ Participate in product planning sessions to accurately define development timelines.

+ Build production ready, on‑device and cloud-based, AI/ML systems with real clinical impacts to our customers.

+ Mentor junior AI/ML software engineers.

+ Drive model improvements using the latest techniques and approaches for evaluation and tuning.

+ Contribute to regulatory documentation, traceability, and V&V aligned with IEC 62304, ISO 14971, and related guidance; support submissions (e.g., FDA 510(k)) as needed.

+ Collaborate in Agile/Scrum workflows, mentor junior engineers, and lead design/code reviews to sustain long‑term maintainability.

** Required Qualifications and

Experience:

*
* + BS/MS in Machine Learning, Artificial Intelligence, Computer Science, Computer Engineering, or a related field

+ 8+ years of experience in machine learning engineering (or equivalent)

+ Highly proficient in Python

+ Strong AI/ML fundamentals - Strong grounding in supervised and unsupervised learning, model section, cross-validation, and evaluation metrics

+ Hands-on experience developing machine learning models using various input data types (static images, point clouds, numerical data, textual data, etc.)

+ Demonstratable experience and deep knowledge of ML frameworks such as Tensorflow, Keras, Pytorch, scikit-learn, etc.

+ Demonstratable expertise in ML model training/optimization, local/cloud (AWS Sagemaker, Azure Studio)

+ Experience developing AI systems in regulated environments (e.g., SaMD), such as surgical, medical imaging, or…
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