NIKE, Inc. Takımına Katılın
NIKE, Inc. dünyanın en iyi sporcularını giydirmekten çok daha fazlasını yapar. Potansiyellerin keşfedildiği, sınırların aşıldığı ve mümkün olanın sınırlarının zorlandığı bir yerdir. Şirket büyüme, düşünme, hayal etme ve yaratma konusunda potansiyeli olan insanların peşindedir. Kültürü çeşitliliği kucaklayarak ve hayal gücünü ödüllendirerek yükselir. Marka başarılı, lider ve vizyoner bireyleri arar. NIKE, Inc.ta herkes zorlu ve sürekli değişen bir oyuna becerilerini ve tutkusunu taşır.
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.
WHO WE ARE LOOKING FOR:
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.
WHAT YOU’LL EXPERIENCE:
In the NIKE, Inc. Summer Internship Program, you’ll contribute to high-priority, real business initiatives that align with the NIKE, Inc. strategic roadmap.
With the guidance of senior leaders and experienced managers, you’ll take ownership of a project that’s been scoped to drive impact. These projects are designed to challenge your critical thinking, further develop your skills and foster effective collaboration while contributing directly to your team’s goals.
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.
This is a 8–10-week paid internship opportunity with relocation assistance. 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
WHAT YOU WILL BRING:
Qualifications:
Enrolled in a Bachelor’s Degree with an expected graduation date between December 2026 and Spring 2027
Background in computer science, mathematics, statistics, or a related technical field
0-2 years work experience
Resume submission (PDF strongly preferred)
Technical Skills:
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
Preferred Technical Skills:
A demonstrated interest in leveraging Generative AI to enhance typical development and data science workflows, or in implementing Generative AI solutions within enterprise environments
An awareness of data science platforms (like Databricks or SageMaker), distributed engines (like Spark and AWS cloud), and CI/CD pipelines and containerization
An ability to meaningfully communicate, written, orally, and visually technical topics with peers and articulate the benefits and tradeoffs of various solutions
This internship – as well as full-time positions – are 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
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
İŞE ALIMLA İLGİLİ EYLEM PLANIMIZ
01 Başvuru
Farklı arka planlardan gelen üyelerimiz ekibe çeşitli alanlarda beceri, bilgi ve bakış açısı kazandırır. İş tanımlarını, departmanları ve ekipleri gözden geçirerek sana en uygun pozisyonu bulmanı istiyoruz.
02 İşe Alım Uzmanıyla Görüşme veya Değerlendirmeden Geçme
Kurumsal bir pozisyona seçilirsen bir işe alım uzmanı mülakat için seninle iletişime geçer. Bu kişi, süreç boyunca iletişime geçmen gereken ilk kişidir. Retail rolleri için bir görüşmeden ve farklı testlerden oluşan etkileşimli bir değerlendirmeden geçersin. Bu değerlendirme yaklaşık 10-20 dakika sürer. Başvurduğun pozisyondan bağımsız olarak, bu süreçte seni daha iyi tanımak istiyoruz. Bu nedenle, nasıl birinci sınıf hizmet sunacağını ve seni benzersiz kılan özelliklerini çekinmeden bize anlatmanı bekliyoruz.
03 Mülakat
Mülakata hazırlıklı gelmelisin. Bu aşamada araştırma yapmanı, beklentilerimizi anlamanı ve arka planın da dahil olmak üzere senin hakkında daha fazla bilgi edinmek için sorabileceğimiz sorulara hazır olmanı bekliyoruz.
