Staff AI​/ML Software Engineer, Navigation

• 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.

• 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.

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.

• Machine Learning Engineering
• Python Proficiency
• AI/ML Frameworks (Tensorflow, Keras, Pytorch)
• Regulated Environment Experience (SaMD)
• Technical Documentation Authoring

• Machine Learning
• Model Training
• Model Optimization
• Supervised Learning
• Unsupervised Learning
• Cross-Validation
• Evaluation Metrics
• AI/ML Systems Development
• SDLC Proficiency
• Cloud-Based AI/ML (AWS Sagemaker, Azure Studio)

• Excellent Communication
• Collaboration Skills
• Influence Skills
• Mentoring
• Leadership

• IEC 62304
• ISO 14971
• FDA 510(k)
• Surgical Navigation
• Medical Imaging
• Healthcare ML/AI Applications
• Traceability
• Validation
• Auditability
• Agile/Scrum