AI Research Intern

GE HealthCare

AI Research Intern developing innovative AI algorithms with domain experts for healthcare applications. Working on cutting-edge projects with access to vast datasets and computing resources.

Posted 5/28/2026internshipRemote • 🇺🇸 United StatesEntry Level💰 $45 - $62 per hourWebsite

Tech Stack

Tools & technologies

HadoopJavaPythonPyTorchSparkTensorflow

About the role

Key responsibilities & impact

Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using 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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
Professional development
Competitive compensation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningalgorithm developmentstatistical analysiserror estimationdata analyticsNatural Language UnderstandingComputer Visionoptimization algorithmsprototype development