NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and redefine what can be. We look for colleagues who can grow, think, dream and build. Our culture thrives by adopting diversity and exciting creativity. The Nike brand seeks achievers, leaders and dreamers. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game!

Who are we looking for

As a Sr. 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.

Sound like you?

Who will you 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 to Nike

3+ years of 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

What do we offer

Health & well-being benefits: sports costs covered, fully subsidized medical plan including eligible dependents
Summer hours allow employees to leave the office on Friday at noon all Summer long!
Performance Sharing Plan
Financial benefits: group life insurance, disability & accident insurance
Company product discount
Casual and international work environment

#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.