GenAI Research Scientist Summer 2025

Responsibilities

• This internship provides a valuable experience for college students who are passionate about applied machine learning and data engineering

• You will work closely with data scientists and engineers to develop, optimize, and deploy machine learning models

• You'll collaborate with cross-functional teams to build scalable ML pipelines that support critical business objectives

• Gain hands-on experience working with large-scale datasets, including text, images, and structured data

• Design and implement data engineering pipelines to transform and enrich datasets for generative AI model training and evaluation

• Develop backend cloud engineering infrastructure that enables scalable AI/ML deployment and automation frameworks

• Stay up-to-date on the latest advancements in generative AI, AI Operations, and cloud computing

Full Description

About Us

Johnson & Johnson is a global leader in healthcare innovation, empowering us to build a world where complex diseases are prevented, treated, and cured.

Our Innovative Medicine division is committed to developing treatments and finding cures for various diseases.

As a GenAI Data Science / AI Operations Intern, you will have the opportunity to contribute to real-world projects focused ontransforming healthcare through generative AI and data solutions.

This internship provides a valuable experience for college students who are passionate about applied machine learning and data engineering.

• You will work closely with data scientists and engineers to develop, optimize, and deploy machine learning models.

• You'll collaborate with cross-functional teams to build scalable ML pipelines that support critical business objectives.

Key Responsibilities

• Gain hands-on experience working with large-scale datasets, including text, images, and structured data.

• Design and implement data engineering pipelines to transform and enrich datasets for generative AI model training and evaluation.

• Develop backend cloud engineering infrastructure that enables scalable AI/ML deployment and automation frameworks.

• Stay up-to-date on the latest advancements in generative AI, AI Operations, and cloud computing.