Nike
This role involves building and deploying machine learning models to enhance recommendations, ranking, and personalization for Nike's digital channels. The position requires owning the end-to-end ML lifecycle, from data exploration and feature engineering to production deployment and evaluation. Collaboration with cross-functional teams is essential to translate product goals into scalable ML solutions.
Headquarters
Beaverton, Oregon, United States
Company Size
10001+ employees
Founded
1972
Nike delivers innovative products, experiences and services to inspire athletes.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Nike.
Nike didn’t post a salary, so this is our estimate from similar listings.
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