AI/ML Engineering Intern — Data & Vision (Beaverton)

Global Sports Jobs Limited; Pahokee (FL); In loco; USD 34.000 - 48.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation assistance

Descrizione del lavoro

NIKE, Inc. is offering a 10-week AI/ML internship at its Beaverton, OR campus. The role focuses on applying machine learning to real business problems, with guidance from senior leaders and engineers.

You will contribute to high-priority initiatives, own a scoped project, and collaborate across teams to deliver impactful results. The ideal candidate is pursuing a Bachelor's degree in a technical field, has 0–2 years of experience, and is energized by building scalable data solutions using

Competenze

• 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 end-to-end solution design.
• Passion for data and finding relationships between disparate data sets.

Mansioni

• 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.
• Apply artificial intelligence to help ensure people with disabilities have equitable access to NIKE's Technology.

Conoscenze

Python

SQL

Tableau

AI/ML

Formazione

Bachelor's degree in CS/Math/Statistics

Strumenti

Databricks

SageMaker

Spark

AWS

Descrizione del lavoro

NIKE, Inc. is offering a 10-week AI/ML internship at its Beaverton, OR campus. The role focuses on applying machine learning to real business problems, with guidance from senior leaders and engineers.

You will contribute to high-priority initiatives, own a scoped project, and collaborate across teams to deliver impactful results. The ideal candidate is pursuing a Bachelor's degree in a technical field, has 0–2 years of experience, and is energized by building scalable data solutions using