Job Description Summary

This role is responsible for end-to-end development of AI models for medical ultrasound products, including data analysis and processing, model training, validation, and optimization. He/She will focus on building high-performance AI models for lesion detection, segmentation, measurement, classification and etc., and work closely with clinical and engineering teams to deliver AI solutions for Ultrasound users.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

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Job Description

Roles and Responsibilities

1. Design, develop, train, and optimize deep learning models for medical ultrasound images and video data, including lesion detection, segmentation, classification, anatomical measurement, image quality assessment, and real-time clinical guidance.

2. Perform ultrasound data processing, including data planning, cleaning, annotation standardization, dataset construction, and quality control for DICOM and clipping data.

3. Conduct model compression, acceleration, and optimization for deployment on ultrasound devices, cloud platforms, or edge computing systems.

4. Collaborate with ultrasound doctors, clinical applications, and product teams to define clinical requirements, validate model performance, and translate clinical needs into AI model design.

5. Track state-of-the-art research in medical imaging AI and ultrasound AI, and implement advanced technologies into product development.

6. Write technical documents, and supporting materials for product registration, clinical validation, and certification.

Education Qualification

1. Bachelor's Degree with 3+ years’ experiences or Master Degree with 2+ years’ experiences or Doctor’s Degree major in Computer Science, Biomedical Engineering, Electronic Engineering or related fields.

2. Solid background in computer vision, computer graphics and Image processing.

3. Proficiency in deep learning frameworks such as PyTorch or TensorFlow.

4. Experience in computer vision related CNN: classification, detection, segmentation, etc.

5. Experience in ML related algorithms: Decision Tree, Random Forest, SVM, Polynomial Regression, etc.

6. Experience in programming with Python.

7. Passion for medical AI, careful, responsible, good teamwork and communication skills.

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.