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.
ABOUT THE ROLE
Now, more than ever, Technology needs to respond quickly to turn market disruptions into opportunities for our world-class brand. To achieve this, we must continue to develop our Enterprise Analytics, AI & Machine Learning capabilities and team to ensure we’re maximizing the power of the Nike enterprise in the analytics/machine learning space and managing data as a competitive advantage.
If you’re ready to innovate and be a driving force for building solutions Enterprise Data and Analytics organization, come join us now! You will be part of an organization that is revolutionizing Nike technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable Nike on its journey to beyond.
WHAT YOU WILL WORK ON
• Work with business teams throughout the organization to identify complex and challenging issues to solve with AI technology.
• Build ML/AI prototypes in topics such as anomaly detection, demand forecast and demonstrate their benefits to product teams and business stakeholders
• Deploy AI powered applications in our data platform and monitor their business performances
WHO WILL YOU WORK WITH
You will be reporting to the Engineering manager, you will work with Product Manager, other Engineering Team Members and with a variety of talented Nike teammates. You will be part of team that will be a driving force in building Data and Analytic solutions for Nike Technology.
WHAT YOU BRING
• Bachelor’s or master’s degree in computer science or related subject area with 6+ experiences.
• 3+ years of demonstrated professional experience in AIML especially in search & recommendation, generative AI area.
• Working experience with machine learning and deep learning frameworks like PyTorch, Tensorflow etc.
• Hands on experience on productize machine learning models, like model serving, model performance monitoring, model performance evaluation, models training & validation etc..
• Demonstrable ability to interpret, and implement methods described in research papers and articles in machine learning, deep learning, mathematical modeling and related fields.
• Strong understanding of data and analytics, including experience with Big Data, real time and batch data processing is preferred.
• Experience with cloud platforms (e.g., AWS, GCP) and able to containerize and deploy models to production.
• Strong problem solving and analytical mindset
• Effective communication skills
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
