Staff AI/ML Software Engineer, Navigation

Jobtailor; Boston (MA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Job summary

DePuy Synthes is seeking an experienced AI/ML Engineer to help evolve our AI/ML platform for flexible model training, fine-tuning, transformation and evaluation across surgical navigation initiatives. You will participate in product planning to define timelines and build production-grade systems that deliver real clinical impact on-device and in the cloud.

You will mentor junior engineers, drive model improvements with cutting-edge techniques, and contribute to regulatory documentation and V&V

Qualifications

• 8+ years of experience in machine learning engineering.

Responsibilities

• Be a key contributor in evolving DePuy Synthes' AI/ML platform for training, fine-tuning, transformation and evaluation across surgical navigation initiatives.
• Participate in product planning to define development timelines.
• Build production-ready AI/ML systems on-device and in the cloud with real clinical impact.
• Mentor junior AI/ML software engineers.
• Drive model improvements using modern techniques for evaluation and tuning.
• Contribute to regulatory documentation, traceability, and V&V per IEC 62304, ISO 14971, and FDA 510(k) guidance.
• Collaborate in Agile/Scrum workflows, lead design/code reviews for maintainability.

Skills

Python proficiency

ML fundamentals

Model training/optimization

Regulated environments

Documentation authoring

Leadership/mentoring

Agile/Scrum

Education

BS/MS in Machine Learning/AI/CS/CE

Tools

TensorFlow

Keras

PyTorch

scikit-learn

AWS SageMaker

Azure ML

Job description

• 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

• 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.

Core Competencies

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 Engineering


• Python Proficiency


• AI/ML Frameworks (Tensorflow, Keras, Pytorch)


• Regulated Environment Experience (SaMD)


• Technical Documentation Authoring

ATS Optimization Keywords

Hard Skills

• 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)

Soft Skills

• Excellent Communication


• Collaboration Skills


• Influence Skills


• Mentoring


• Leadership

Industry Keywords

• IEC 62304


• ISO 14971


• FDA 510(k)


• Surgical Navigation


• Medical Imaging


• Healthcare ML/AI Applications


• Traceability


• Validation


• Auditability


• Agile/Scrum