Director - AI/ML Engineering

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

The annual base salary for this position ranges from $166,100.00 in our lowest geographic market to $392,700.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.
 

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and redefine what can be. We look for colleagues who can grow, think, dream and create. Our culture thrives by embracing diversity and rewarding imagination. The Nike 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. 
 

WHO WE ARE LOOKING FOR  

Nike is looking for a seasoned Engineering leader who can lead and grow teams of machine learning engineers, data scientists, and software architects to deliver scalable machine learning and artificial intelligence solutions to customers across our business. As Director of AI/ML Engineering, you will be a cross-disciplinary (data/API/infra/infosec/ML) engineering leader for teams tasked with executing on the AI/ML organization’s charter. In this role you will be working at the intersection of machine learning and engineering (i.e., MLOps), leading teams to deliver innovative and high-quality services which power Nike’s supply chain. You will be a strong advocate for both engineering best practices (e.g. code reviews, unit testing) and also the adoption of new technologies (e.g. DataBricks, SageMaker, LLM optimization) which can help us move faster on our journey. In this way, you will be responsible for coaching engineers to continuously elevate their engineering skills and for growing their careers at Nike. 

WHO WILL YOU WORK WITH  

Artificial Intelligence and Machine Learning (AI/ML) is one of the key groups within Data and Artificial Intelligence and we have been chartered to help scale machine learning across Nike. We bring cross-disciplinary teams of data scientists and engineers to areas of the business which are early in their analytics journey. For areas of the business which are more mature and already have data science teams, we help scale machine learning by providing squads of engineers to maximize the velocity of those data science teams in delivering value to the business. Lastly, we work closely with our platform and architecture partners to develop capabilities which help machine learning scale easier at Nike (e.g. model …