AI Research Intern

GE HEALTHCARE

1d • $45 - $62

About The Position

We're looking for PhD students who are active in AI/ML areas and are passionate about developing next generation AI technologies that will have profound impact on medicine and healthcare. You will be working with top researchers and domain experts in the field of AI for health to develop new deep learning (e.g., vision foundational models, large language model) solutions and to prepare research publications for leading AI venues. During recent years, our researchers have published on leading AI venues including NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, EMNLP, ACL, etc. Our ambitious AI for medicine and healthcare research agenda include but are not limited to:

•Medical imaging foundation models across diverse imaging types, diseases, organs, etc.
•Multi-modal medical imaging analysis and report generation
•LLMs for clinical efficiencies
•Multimodal phenotyping for accurate disease diagnosis, subtyping, and progression modeling, as well as patient retrieval, trial matching, and health monitoring
•Responsible AI (e.g., interpretable models, trustworthiness, fairness, etc)
•Multimodal EMR generation

At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of intelligent computing services across the cloud and. Sitting within the centralized Science & Technology organization, our AI org is harnessing the power of AI to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we’re committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.

As an AI research intern at GEHC, you get to work on the most cutting-edge and exciting projects. You will have access to petabytes of data, state of the art computing resources, and professional support from domain experts.

Requirements

• Currently enrolled in a PhD or master degree in computer science or related areas, or entering into a PhD program in the fall of 2026
• Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization.
• Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.) In depth experience with Spark/Hadoop and either PyTorch/Tensorflow.
• Experience creating production environment data analytics and applications.

Nice To Haves

• Extensive experience with handling noisy real world medical and patient data.
• Experience working with large scale AI training.

Responsibilities

• Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.
• Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
• Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Initiating/proposing unique and promising deep learning capabilities, developing new and innovative algorithms and technologies, pursuing patents and research publications where appropriate.
• Researching and evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities.

Benefits

• GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation.
• GE HealthCare is an Equal Opportunity Employer. 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.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree