Principal Machine Learning Engineer (Remote work option)

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, it’s about each person bringing skills and passion to a challenging and constantly evolving game. 

WHO ARE WE LOOKING FOR 

We seek passionate engineers to join our team.  As a Principal AI/ML Engineer, you will influence and develop robust machine learning and generative AI solutions that have a direct impact on the business.  You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. Sagemaker or DataBricks).  You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model.  As a Principal AI/ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle.  As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role.   

WHAT WILL YOU WORK ON 

If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AI/ML) team at Nike.  With teammates in Portland, Boston, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale.  You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact.  You’ll also contribute to core advanced analytics, machine learning, and generative AI platforms and tools to enable both prediction and optimization model development.  You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.