NIKE, Inc. Innovation AI & Machine Learning Graduate Intern

WHO YOULL WORK WITH

This internship is part of Nikes Advanced Product Intelligence team a group within the Advanced Innovation Collective that focuses on building intelligent capabilities for designers engineers and creators to reimagine the future of physical product design. During your internship youll work closely with multidisciplinary teammates across Machine Learning Engineering Computational Engineering Generative AI Design and Data Analysis.

WHAT YOULL WORK ON

In the role of an Innovation AI & Machine Learning Engineer Intern you will build intelligent models & workflows that assist and accelerate the product innovation process. You will lead or collaborate on efforts such as:

• Prototyping AI/ML tools that support creative workflows for footwear and apparel design

• Fine-tuning image diffusion vision-language and generative 3D models geared towards product design exploration

• Training lightweight domain-specific predictive ML models from generated or curated datasets

• Building interactive prototypes or internal tools that make intelligent capabilities readily available for use by Design and Engineering teammates

Over the course of the internship youll work alongside a passionate and multidisciplinary team thats shaping the future of product innovation at Nike. Youll present your project to stakeholders at the end of the internship and contribute to documentation that helps scale your work beyond the summer. And finally youll walk away with meaningful real-world experience at the intersection of AI & Machine Learning furthering breakthrough products that make athletes* better.

WHO WE ARE LOOKING FOR

Were looking for a graduate-level engineering intern with a strong foundation in machine learning and artificial intelligence who is eager to apply those skills to real-world challenges in product innovation.

This internship will be project-based with room for tailoring based on your interests and strengths. Our ideal candidate brings not only technical capability but also a self-directed builder mindset and a curiosity for solving ambiguous and novel problems. You love digging into real-world datasets training models testing outputsand improving them. Youre as excited by open-ended creative problems as you are by well-defined engineering challenges.

• Currently pursuing a Masters degree in Computer Science Machine Learning Data Science Computational Engineering or a related technical field with a graduation date between Winter 2026 and Summer 2027

• Strong foundational understanding of core machine learning concepts (e.g. supervised & unsupervised learning neural network architectures model training and evaluation tradeoffs in model selection overfitting and underfitting behavior)

• Experience working with and applying diffusion models computer vision models transformers and/or 3D geometry data

• Hands-on experience with fine-tuning Generative AI image diffusion models and integrating them into creative workflows

• Hands-on experience building AI/ML-powered systems or prototypes (either academic personal or professional)

• Proficiency in Python and commonly used ML libraries (e.g. PyTorch OpenCV NumPy pandas TensorFlow scikit-learn)

• Comfort navigating ambiguous problem spaces and proposing your own ideas or approaches

• Demonstrated ability to communicate technical findings to diverse audiences in verbal and written form

This internship as well as full-time positions are locatedin-personat the NIKE Inc. World Headquarters in Beaverton OR. Check out this video of our World Headquarters tolearn more aboutlife on campus:Nike WHQ Campus Video