AI Research Intern

Job Description

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About the Job – Lensa Platform:

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Job Description Summary:

GE HealthCare is seeking PhD students actively engaged in AI/ML areas, who are passionate about developing next-generation AI technologies with a profound impact on medicine and healthcare. The role involves working with top researchers and domain experts in AI for health to develop novel deep learning solutions, including vision foundational models and large language models, and preparing research publications for leading AI venues.

GE HealthCare’s researchers have a strong publication record in top AI venues such as NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, EMNLP, and ACL. The ambitious AI for medicine and healthcare research agenda includes, but is not limited to, the following key areas:

• Medical imaging foundation models across diverse imaging types, diseases, and organs.
• 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, there is a strong commitment to bringing AI and cloud-based solutions to customers, encompassing all aspects of intelligent computing services across the cloud. Sitting within the centralized Science & Technology organization, the AI team harnesses the power of AI to make healthcare more precise, personalized, and accessible. This includes driving overall clinical research, patient-centric innovation, and delivering new digital and machine learning capabilities to lead digital transformation, improve outcomes for patients and providers, and create a world where healthcare has no limits.

As an AI Research Intern at GE HealthCare, you will engage in cutting-edge projects with access to petabytes of data, state-of-the-art computing resources, and professional support from domain experts.

Job Description – Key Responsibilities:

• Work with large-scale datasets to design and develop novel machine learning algorithms, particularly in LLM, to automate clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports.
• Demonstrate algorithms to meet accuracy requirements on a general subject population through statistical analyses and error estimation.
• Build prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
• Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, and pursue patents and research publications where appropriate.
• Research and evaluate emerging technology, industry, and market trends to assist in product development and/or operational support activities.

Basic Qualifications:

• Currently enrolled in a PhD or Master’s 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.

Preferred Qualifications:

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

Compensation:

• The pay rate for this position is $45-62/hr.

Visa Sponsorship:

• GE HealthCare will not sponsor individuals for employment visas, now or in the future, for this job opening.

Additional Information:

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer (refer to EEOC Know Your Rights for more details). 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.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

Application Deadline: February 07, 2026

For questions about this posting, please contact support@lensa.com.

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