NIKE, Inc. Artificial Intelligence, Data, & Machine Learning Engineering Undergraduate Internship

Nike•Beaverton, OR

3d•Onsite

About The Position

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data, and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate, and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary, and collaborative, taking technology into the future and bringing the world with it. The Artificial Intelligence, Data and Machine Learning Group applies machine learning to problems at Nike. We develop fundamental technologies, do applied research and development, and deliver to production to enable AI/ML across Nike. The ideal intern candidate is a leader with a demonstrated interest in developing complex data solutions and working on end-to-end solution design. You are a passionate, data enthusiast who loves finding relationships between disparate data sets and clarity in a muddied data environment and are continually learning as well as finding opportunities to share knowledge with others. The person we’re searching for gets energized and excited by the challenge of building things from the ground up, loves to think out of the box, and brings to bear the latest technologies in statistical, unsupervised, supervised, and Artificial Intelligence (AI) models to achieve organizational goals.

Requirements

Enrolled in a Bachelor’s Degree with an expected graduation date between December 2027 and Spring 2028
Background in computer science, mathematics, statistics, or a related technical field
0-2 years work experience
Resume submission (PDF strongly preferred)
Knowledge of Python, SQL, Tableau
Knowledge of AI/ML techniques such as neural networks, tree ensembles, regressions, etc.
Knowledge in data structures and algorithms, proficiency in solution and technical design, and strong skills in problem solving, debugging, testing, and analysis
Ability to quickly pick up new programming languages, technologies, and frameworks

Nice To Haves

Demonstrated interest in leveraging Generative AI to enhance typical development and data science workflows, or in implementing Generative AI solutions within enterprise environments
Awareness of data science platforms (like Databricks or SageMaker), distributed engines (like Spark and AWS cloud), and CI/CD pipelines and containerization
Ability to meaningfully communicate, written, orally, and visually technical topics with peers and articulate the benefits and tradeoffs of various solutions

Responsibilities

Integrate Machine Learning within technologies to identify and resolve incidents faster and more efficiently.
Scale innovation teams and sustainability goals through the use of computer vision, code, agile methodologies, and robotics.
Ensure people with disabilities have equitable access to Nike’s Technology using Artificial Intelligence.