Senior Director, Supply Chain & Planning AI/ML Engineering (REMOTE WORK OPTION)

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

The annual base salary for this position ranges from $199,200.00 in our lowest geographic market to $471,100.00 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 is a technology company. From our flagship website and five-star mobile apps to developing products, leading big data and providing groundbreaking 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

Nike is looking for an elite 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. You will work on a variety of complex business problems specifically focused on inventory optimization, demand sensing and forecasting, pricing and markdown, replenishment optimization, etc. You will lead teams across multiple Geographies. You will test new and interesting hypotheses, productionalize and scale ML solutions in the cloud as APIs, stream processing, or massive batch processing. You will use big data, parallel processing technologies, traditional machine learning methods, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products. You will champion partnerships with best of breed open-source communities, commercial vendors, and universities. Above all, your work will accelerate Nike's core mission of serving Athletes.

Who you are

• A shown technical leader with deep knowledge and experience in creating production grade, end-to-end machine learning services at scale. As comfortable discussing modern ML algorithms (e.g. RNNs, LLMs, Reinforcement Learning, GenAI), optimization techniques, deep learning, as you would discuss the CAP theorem. Able to dive deep into code and architecture to provide an informed opinion on benefits/trade-offs of different design choices.

• Highly organized and able to handle multiple timelines, priorities, and teams with ease. At the same time, able to quickly flex and pivot due to changing circumstances which present …