Senior Machine Learning Engineer

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, it's about each person bringing skills and passion to a challenging and constantly evolving game.

WHO WE ARE LOOKING FOR

As a Senior Machine Learning Engineer within the AIML team, you will be developing sophisticated analytics systems that directly impact our business. You will work on a cross-disciplinary team (DevOps/Data/Software Engineering) to enable data-driven decision-making across multiple organizations.

Working at the intersection of machine learning and software engineering, you'll create high-quality solutions that power Nike. You will work with others who are energized by the challenge of building things from the ground up, thinking out of the box, and applying the latest technologies in statistical, unsupervised, supervised, and machine-learning models at a global scale. Our teams enjoy a collaborative and academic environment that promotes developing new skills, mentorship, and a drive to deliver knowledge and software back to analytics and engineering communities, within and Nike and without. This culture is cultivated by intellectual curiosity, fun, willingness, and diversity.

WHO YOU WILL WORK WITH

AIML is one of the key groups within Data and Artificial Intelligence. We're chartered to scale machine learning and AI at Nike. For areas of the business early in their analytics journey, we embed cross-disciplinary teams of data scientists and engineers to unlock new capabilities and answer unsolved (or unasked!) questions.

In mature areas with preexisting data science teams, we help scale machine learning by attaching engineering squads to grow their capacity to deliver for the business. In addition, we collaborate closely with platform and architecture partners to develop capabilities that simplify machine learning at scale within Nike (e.g. model deployment, A/B testing, model monitoring).

Crucial Job Functions:

• Serve as an integral member of a multi-functional engineering team that delivers solutions unlocking machine learning for Nike. You will analyze and profile data to uncover insights in support of scalable solutions, and clean, prepare and verify the integrity of data for analysis and model creation. You'll also track model accuracy, performance, relevance, and reliability. You will apply a variety of machine learning and collaborative filtering methods to data sets. You will aid in building APIs and software libraries that support the adoption of models in production
• Leverage your prior experience, knowledge of industry trends, and personal creativity to develop 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 tools and other emerging technologies. Given the rapid pace of change in technology and machine learning today, always be pushing the boundary of what's possible and be on the offence always
• Accept and embody Nike's core values (maxims) in your work and interactions with peers and stakeholders. Communicate effectively, build trust and strong relationships across the company, and do the right thing

WHAT YOU BRING

• Experience in the field of ML Engineering or Software Engineering with a comparable bachelor's degree in a relevant field, like computer science or software engineering, or equivalent experience
• Understanding of Machine Learning, its applications, and the lifecycle of an ML application in production; including an ability to articulate the role of MLOps in the machine learning development life cycle from experimentation to production and measurement
• An ability to significantly communicate, written, orally, and visually technical topics with peers and articulate the benefits and tradeoffs of various solutions
• Ability to write robust, maintainable, and extendable code in Python
• Experience working in and/or collaborating with a partial or fully distributed team
• Strong experiential understanding of data structures, algorithms, and data solutions
• Familiarity with frameworks such as Scikit-learn, PyTorch, Tensorflow, Spark, FastAPI or similar platforms and frameworks
• Experience with cloud architecture and technologies (preferably Amazon Web Services: ECR, SageMaker, Lambda, API Gateway)
• Familiarity with pipeline orchestration tools such as AirFlow
• Awareness of CI/CD pipelines and containerization is preferred
• Fluency in the application of open-source technologies and the potential of standardized platforms in the area of Data Science, AI & ML
• Nice to have: an interest in the potential of Generative AI to accelerate common development and data science tasks, or the deployment of Generative AI solutions in the enterprise

#LI-EMEA

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, a 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, colour, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.