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.

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $82,900.00 in our lowest geographic market to $185,700.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Essential Job Functions:

Serve as an integral member of a cross-functional engineering teams that delivers solutions unlocking machine learning for Nike. You will analyze and profile data to uncover insights in support of scalable solutions, clean, prepare and verify the integrity of data for analysis and model creation. You’ll also track model accuracy, performance, relevance, and reliability. You will apply a variety of machine learning and collaborative filtering methods to data sets. You will aid in building APIs and software libraries that support adoption of models in production.
Leverage your prior experience, knowledge of industry trends, and personal creativity to develop new and innovative solutions which delight our customers in their mission to serve Athletes.
Stay current with industry trends and recommend relevant technologies & products in the areas of Analytics, Machine Learning, Artificial Intelligence, and Data Science tools and other emerging technologies.
Embrace and embody Nike’s core values (maxims) in your work and interactions with peers and stakeholders. Communicate effectively, building trust and strong relationships across the company.

What you bring to Nike:

Bachelor Degree or a combination of relevant education, training and experience.
Understanding of Machine Learning, its applications, and the lifecycle of an ML application in production; including an ability to articulate the role of MLOps in model development from experimentation to production and measurement.
An ability to meaningfully communicate, written, orally, and visually technical topics with peers and articulate the benefits and tradeoffs of various solutions.
Experience working in and/or collaborating with a partial or fully distributed team.
Understanding of data structures, algorithms, and data solutions.
Experience in applying Python (or another language commonly used in the field of ML, such as Scala, Julia, C++) and SQL to ML and/or software and data engineering tasks.
Familiarity with ETL, ML, or analytics technologies such as Scikit-learn, Pandas, OpenCV, NumPy, TensorFlow, or similar platforms and frameworks.
Awareness of data science platforms (like Databricks or SageMaker), distributed engines (like Spark and AWS cloud), and CI/CD pipelines and containerization are preferred.
Fluency in the application of open-source technologies and the potential of standardized platforms in the area of Data Science, AI, & ML.
Nice to have: an interest in the potential of Generative AI to accelerate common development and data science tasks, or the deployment of Generative AI solutions in the enterprise.

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.

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