Inc. Artificial Intelligence, Data Machine Learning Engineering Undergraduate Internship

The Artificial Intelligence, Data and Machine Learning Group applies machine learning to problems  group develops fundamental technologies, conducts applied research and development, and delivers to production to enable AI/ML across NIKE. The intern will contribute to high-priority, real business initiatives aligned with NIKE's strategic roadmap, taking ownership of a scoped project with guidance from senior leaders and experienced managers. The role is designed to challenge critical thinking, further develop skills, and foster effective collaboration while contributing directly to team goals.

The internship is a 10-week programme.

• Contribute to high-priority, real business initiatives aligned with NIKE's strategic roadmap.
• Take ownership of a project scoped to drive impact.
• Work under the guidance of senior leaders and experienced managers.
• Develop critical thinking, skills, and effective collaboration while contributing directly to team goals.
• Integrate machine learning within NIKE technologies to identify and resolve incidents faster and more efficiently.
• Use computer vision, code, agile methodologies, and robotics to help scale NIKE's innovation teams and sustainability goal of moving to zero waste.
• Apply artificial intelligence to help ensure people with disabilities have equitable access to NIKE's Technology.

• 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.
• Demonstrated leadership ability.
• Demonstrated interest in developing complex data solutions and working on end-to-end solution design.
• Passion for data and finding relationships between disparate data sets and clarity in a muddied data environment.
• Continual learning and sharing knowledge with others.
• Energized by building things from the ground up and thinking out of the box.
• Ability to apply the latest technologies in statistical, unsupervised, supervised, and AI models to achieve organizational goals.
• 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.

• 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 (such as Databricks or Sage Maker), distributed engines (such as 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.

• In-person at the NIKE, Inc. Philip H. Knight Campus in Beaverton, OR.

• Paid internship.

• Relocation assistance.

Accommodations are available to complete the interview process, including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed.