Staff Machine Learning Engineer

About the role

The Staff Machine Learning Engineer is a senior technical leader who designs, develops and deploys production-grade AI systems for GE HealthCare medical imaging products. The role focuses on vision-language models, diffusion models and multimodal learning, working closely with data scientists, software engineers, product leaders and clinical experts to turn advanced AI methods into robust product capabilities.

Key responsibilities

• Design, implement and productionize AI models for clinical applications, including vision and diffusion models.
• Own the end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring and iteration.
• Work with large-scale medical datasets, ensuring data quality, preprocessing and efficient pipeline management.
• Drive technical decisions and trade-offs with a focus on scalability, maintainability and real-world constraints.
• Collaborate with clinical AI scientists to translate research innovations into production-ready solutions.
• Stay current with advancements in vision-language modeling, GenAI and related AI technologies.

Required profile

• Master's or PhD in Computer Science, Electrical Engineering, Biomedical Engineering or a related field.
• Significant hands-on experience building and deploying ML systems to production.
• Prior experience with medical imaging data is highly preferred.
• Solid software engineering fundamentals, including testing, version control, CI/CD and code reviews.
• Fluent English (speaking and writing).

Required skills

• Machine learning and deep learning frameworks such as PyTorch and TensorFlow.
• Deep learning, computer vision and natural language processing techniques.