Staff Machine Learning Engineer

Responsibilities

• Design, implement, and productionize AI models for clinical applications, including vision and diffusion models.
• Own 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 tradeoffs 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.

Requirements

• Master's or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or related field.
• Significant hands-on experience building and deploying ML systems to production.
• Strong experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Solid understanding of deep learning, computer vision, and natural language processing techniques.
• Prior experience working with medical imaging data is highly preferred.
• Solid software engineering fundamentals, including testing, version control, CI/CD, and code reviews.
• Independent, self-learner, and results-oriented.
• Fluent English (speaking and writing).
• We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.
• #LI-TM1
• Additional Information
• The job is open to men and women equally
• Relocation Assistance Provided: No

Benefits

Additional Information

Job Description Summary The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for GE Healthcare medical imaging products. This 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. Job Description The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for GE HealthCare medical imaging products. This 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.

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