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    InternshipsNikeArtificial Intelligence, Data, & Machine Learning Engineering Undergraduate Internship

    Artificial Intelligence, Data, & Machine Learning Engineering Undergraduate Internship

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    Nike

    10,001+ employeesFounded 1964Beaverton, ORRetail
    NewApply by Sep 3Actively hiringPaidSummer 2027Retail
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    About the role#

    This internship provides an opportunity to contribute to high-priority business initiatives that align with the strategic roadmap. You will work under the guidance of senior leaders and experienced managers to take ownership of a project scoped to drive impact. This is a 10-week paid, full-time position.

    What you'll do#

    • 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 technology using Artificial Intelligence.
    • Contribute to high-priority, real business initiatives.
    • Take ownership of a project scoped to drive impact.

    What you'll need#

    • 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 of work experience.
    • Knowledge of Python, SQL, and Tableau.
    • Knowledge of AI/ML techniques such as neural networks, tree ensembles, and regressions.

    Location & details#

    • This position is located on-site in Beaverton, Oregon.
    • The internship term is Summer 2027.
    • This role is paid.
    Relevant fieldsComputer ScienceMathematicsStatistics

    About Nike

    Nike designs and sells athletic footwear, apparel, and sports equipment. Founded in 1964, the company is based in Beaverton, Oregon. It operates as a public company with over 100,000 employees. The business focuses on digital, merchandising, and product innovation within the retail sector.

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