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.
Manager, Machine Learning Engineering - NIKE USA Inc. - Beaverton, OR. 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; advocate the implementation of engineering best practices, such as code reviews, unit testing, and the adoption of new technologies in the engineering squads; collaborate as part of a cross-functional leadership team to grow highly skilled, diverse engineering teams that deliver solutions which unlock machine learning for Nike; engage employees, assist the teams by removing roadblocks, and align efforts across Nike’s matrix to drive progress forward and always win as a team; leverage experience, knowledge of industry trends, and personal creativity to develop and drive new and innovative solutions which delight our customers in their mission to serve Athletes; stay current with industry trends and recommend relevant technologies & products in the areas of analytics, machine learning, artificial intelligence, and data science; embrace and embody Nike’s core values (maxims) in work and interactions with peers, stakeholders, and direct reports; model clarity and accountability as a leader, and communicate effectively, build trust and strong relationships across the company, do the right thing; mentor teams, individuals, and technical leaders to foster motivated contributors, collaborative stakeholders, and high performing teams; and set high standards for engineering excellence, MLOPs, operational excellence, and drive innovation. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.
Employer will accept a Master’s degree in Computer Science or Computer and Information Science and two (2) years of experience in the job offered or in an engineering-related occupation.
Experience must include:
• Python
• AWS
• Docker
• Jenkins
• Git
• ETL
• API Server development
• Kubernetes
• Agile development
• Postgres.
Apply at www.Nike.com/Careers (Job# R-62354)
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We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
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.
