Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Johnson & Johnson

Staff AI/ML Software Engineer, Navigation

Johnson & Johnson

Staff 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 fit
Core 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

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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 & technologies
AWSAzureCloudKerasPythonPyTorchScikit-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