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Staff AI/ML Software Engineer, Navigation
Johnson & JohnsonStaff AI/ML Software Engineer at Johnson & Johnson developing AI/ML systems for surgical navigation. Collaborating across teams to deliver impact on patient outcomes in healthcare.
Posted 7/24/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesLead💰 $109,000 - $174,800 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML model development and optimization, with a strong foundation in machine learning principles and hands-on experience in regulated environments. Proficient in Python and various ML frameworks, capable of leading design reviews and mentoring junior engineers.
Highest-signal resume keywords
Machine Learning EngineeringPython ProficiencyAI/ML Frameworks (Tensorflow, Keras, Pytorch)Regulated Environment Experience (SaMD)Technical Documentation Authoring
ATS Keywords
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Hard Skills
Machine LearningModel TrainingModel OptimizationSupervised LearningUnsupervised LearningCross-ValidationEvaluation MetricsAI/ML Systems DevelopmentSDLC ProficiencyCloud-Based AI/ML (AWS Sagemaker, Azure Studio)
Soft Skills
Excellent CommunicationCollaboration SkillsInfluence SkillsMentoringLeadership
Industry Keywords
IEC 62304ISO 14971FDA 510(k)Surgical NavigationMedical ImagingHealthcare ML/AI ApplicationsTraceabilityValidationAuditabilityAgile/Scrum
Tech Stack
Tools & technologiesAWSAzureCloudKerasPythonPyTorchScikit-LearnSDLCTensorflow
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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 healthcare-related ML/AI applications, with attention to traceability, validation, and auditability.
- Excellent ability to author technical documentation for AI/ML training and implementations.
- Proficiency across the full SDLC in a regulated environment: requirements, design, implementation, testing, traceability, release, and maintenance.
- Excellent communication, collaboration, and influence skills; ability to lead architecture and design reviews.
Benefits
Comp & perks- 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 Colorado –48 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
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period
- 10 days Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year