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.

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

The annual base salary for this position ranges from $119,400.00 in our lowest geographic market to $267,500.00 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.
 

Who we are looking for

Nike is looking for a Lead Machine Learning Engineer to join our growing team. This role is part of a squad within Enterprise Data & AI Consumer AI/ML team, that is responsible for building solutions that will transform the customer experience in Nike Digital Platform. Playing a key role in the development of digital tools, processes, and experiences, the ideal candidate is a problem-solver who is motivated to learn new technologies, communicate ideas and knowledge, and collaborate with teammates. You will work with a cross-functional team to build solutions that will transform the customer experience in Nike Digital Platform. You need to be able to work with ambiguity and abstract requirements, developing features quickly in a team context, balancing speed with quality. Above all, your work will accelerate Nike's core mission of serving Athletes*

WHO WILL YOU WORK WITH?

Our team has Machine Learning Engineers, Software Engineers, and Data Scientists. You will work day-to-day with your peer Machine Learning Engineers, Software Engineers, Product Management and other squad team members to achieve business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals.

WHAT YOU WILL DO

Apply machine learning, collaborative filtering, NLP, and deep learning methods to massive dataProvide technical leadership, establishing standards and principles for your team to follow.Support investigation of new software packages/tools, APIs, and algorithms to deliver quality analytics and machine learning at scaleCollaborate with a cross functional agile team of software engineers, data engineers, ML experts, and others to build new product featuresContribute to all processes of the ML lifecycle: data collection, annotation, modeling, evaluation, deployment, and monitoringWrite production-quality code for ML models as online services and APIsPresent complex analyses clearly and conciselyAbility to build collaborative relationships with peers and multi-functional partnersProvide support by writing documentation and tutorials as well as providing guidance to users with a variety of technical skills.

       

WHAT YOU BRING

Bachelor's Degree or higher in Statistics, Computer science or a combination of relevant education, training, and experienceAdvanced degrees a plus (PhD, Masters, etc.)5+ plus years of experience in enterprise environment with a combination of technology and team leadership responsibilities. Expertise with Python, Spark, or JavaThis role requires strong leadership skills to mentor and guide a team of Machine Learning Engineers. Must have a balance of technical expertise, strategic planning, and team management to ensure project execution and workforce optimization.  Expertise in building and productionalizing large scale consumer facing ML modelsDesigned, built and shipped applications that scale and implementing best practices in ML Ops and CI/CD to build state of the art ML modelsProficient at writing good quality, well-documented and tested, scalable code - Python preferred. Experience with tools like mlFlow, Airflow, Docker and Cloud Platforms such as AWS/GCP is ideal. Experience deploying, monitoring and maintaining data science products in cloud environments such as AWSKnowledge of techniques for model compression, quantization, and optimization for deployment in resource-constrained environments.Experience with data processing and storage frameworks like S3, Spark, Dynamo, etc.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.