NIKE, Inc. AI & Machine Learning, Innovation Graduate Internship

Nike•Beaverton, OR

About The Position

This internship is part of Nike’s 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, you’ll work closely with multidisciplinary teammates across ML Engineering, Computational Engineering, Generative AI Design, and Data Analysis. In the role of an AI/ML Engineer Intern, you will apply your AI/ML expertise to help teams explore, evaluate, and improve product concepts faster. You will build intelligent models, workflows, and prototypes that use product performance data to accelerate the product innovation process. You will lead or collaborate on efforts such as: Prototyping AI/ML tools that support engineering and creative workflows for footwear and apparel design and simulation Exploring applications of AI/ML and product performance data to engineering simulation workflows, including physics-based modeling, FEA, optimization, and virtual product development Training lightweight, domain-specific predictive ML models using generated, simulated, experimental, or curated datasets Building interactive prototypes or internal tools that make intelligent capabilities usable and understandable by Design and Engineering teammates Over the course of the internship, you’ll work alongside a passionate and multidisciplinary team that’s shaping the future of product innovation at Nike. You’ll 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, you’ll walk away with meaningful, real-world experience at the intersection of AI/ML and breakthrough products that make athletes better.

Requirements

Currently pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, Computational Engineering, Mechanical Engineering, or a related technical field with a graduation date between Winter 2027 and Summer 2028
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)
Hands-on experience building AI/ML-powered systems, workflows, or technical prototypes (either academic, personal, or professional)
Experience in one or more relevant areas, such as surrogate modeling, computer vision, transformers, 3D geometry, or simulation data
Exposure to engineering simulation methods such as finite element analysis (FEA), computational modeling, optimization, or design exploration
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

Nice To Haves

Candidates with experience in computational engineering, mechanical engineering, simulation, digital product development, or physics-based modeling are especially encouraged to apply.

Responsibilities

Prototyping AI/ML tools that support engineering and creative workflows for footwear and apparel design and simulation
Exploring applications of AI/ML and product performance data to engineering simulation workflows, including physics-based modeling, FEA, optimization, and virtual product development
Training lightweight, domain-specific predictive ML models using generated, simulated, experimental, or curated datasets
Building interactive prototypes or internal tools that make intelligent capabilities usable and understandable by Design and Engineering teammates
Present project to stakeholders at the end of the internship
Contribute to documentation that helps scale your work beyond the summer