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NIKE, Inc. Data & Machine Learning Engineer Undergraduate Internship

AT NIKE, Inc.
NIKE, Inc.

NIKE, Inc. Data & Machine Learning Engineer Undergraduate Internship

Beaverton, OR

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.

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.

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WHO WE ARE LOOKING FOR:

The Artificial Intelligence 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.

WHAT YOU'LL EXPERIENCE:

Our goal for the Data & Machine Learning Engineering Internship is to provide an incredible and unique experience, showing what it is like to be at Nike full-time. As a Data Engineer, you will apply machine learning and engineering expertise to improve existing algorithms and understand and be able to leverage core concepts of AI/ML to research and develop new algorithms. You will collaborate in multi-functional teams to support other groups who will also be working on science or science-engineering-related work.

Intern Project Examples Include:

  • Keep Nike on the offensive by integrating Machine Learning within our technologies to identify and resolve incidents faster and more efficiently.


  • Scale Nike's innovation teams and our sustainability goal of moving to zero waste through the use of computer vision, code, agile methodologies, and robotics.


  • Ensuring people with disabilities have equitable access to Nike's Technology using Artificial Intelligence.

Curious to know what it's like to be part of a world-class Internship Program? Check out our recap video from last summer: Nike Internship Program Recap Video

This internship - as well as most full-time positions - is located in person at the NIKE, Inc. World Headquarters in Beaverton, OR. Check out this video of our World Headquarters to learn more about life on campus: Nike WHQ Campus Video

WHAT YOU WILL BRING:

Qualifications:

  • Enrolled in an undergraduate program in computer science, mathematics, statistics, or related technical subject area with an expected graduation date between Winter 202 5 or Spring /Summer 202 6


  • 0-2 years work experience


  • Resume submission (PDF) Required

Technical Skills:

  • Knowledge of Python, SQL, Tableau


  • Knowledge of AI/ML techniques such as neural networks, tree ensembles, regressions, etc.


  • Deep understanding of data structures and algorithms


  • Deep understanding of solution and technical design


  • Strong problem-solving, debugging, testing, and analytical skills


  • Ability to quickly pick up new programming languages, technologies, and frameworks

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 committed to employing a diverse workforce. 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.

Benefits

Whether it's transportation or financial health, we continually invest in our employees to help them achieve greatness - inside and outside of work. All who work here should be able to realize their full potential.

Client-provided location(s): Beaverton, OR, USA
Job ID: nike-21272_R-38030
Employment Type: Intern

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Veteran founded/led