Search all jobs
Nike Logo

Innovation AI & Machine Learning Graduate Intern

  • Beaverton, USA
  • Full time
  • Competitive
  • 21st November 2025
View organisation profile
Apply Favourite
Copy Link

Full Description

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHO YOU’LL WORK WITH

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 Machine Learning Engineering, Computational Engineering,Generative AI Design, and Data Analysis

WHAT YOU’LL 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 creativeworkflows 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 makeintelligent capabilities readily available for use 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 & Machine Learning, furthering breakthrough products that make athletes* better.

WHO WE ARE LOOKING FOR

We’re 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 outputs—and improving them. You’re as excited by open-ended creative problems as you are by well-defined engineering challenges.

  • Currently pursuing a Master’s 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 applyingdiffusion 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

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

The organisation

Nike
  • Oregon, USA
  • 2000+ employees
  • Website

We use the power of sport to move the world

More jobs from Nike

Nike Logo
Lead, Supply Chain & Planning Portfolio Management
  • Beaverton, USA
  • Full time
  • Competitive
Nike Logo
Machine Learning Engineer
  • Beaverton, USA
  • Full time
  • Competitive
Nike Logo
Senior Principal, Marketplace Sustainability
  • Beaverton, USA
  • Full time
  • Competitive
Nike Logo
Lead Designer Energy Athlete Atelier Concept Design
  • Beaverton, USA
  • Full time
  • Competitive
Nike Logo
Lead, Digital Marketing - 3PP, India
  • Karnataka, India
  • Full time
  • Competitive
Create a job alert

Get notified as soon as new jobs matching your ambitions go live.

Create a course alert

Create a job alert