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

Information about benefits can be found here.
 

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 ARE WE LOOKING FOR

We seek passionate engineers to join our team. As a Senior Machine Learning Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. EMR). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Senior ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role.

WHAT WILL YOU WORK ON

If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AI/ML) team at Nike. With teammates in Portland, Boston, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large. We value and nurture our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.

WHO WILL YOU WORK WITH

In this role, you’ll be working closely with the rest of our global team, along with commercial and consumer analytics, and enterprise architecture teams.

WHAT YOU BRING

• Undergraduate degree in Computer Science, or equivalent experience

• 3+ years of professional experience in software engineering, data engineering, machine learning, or related field

• Strong problem solving and analytical mindset

• Ability to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD

• Expertise with agile development and test driven development

• Understanding of data structures, data modeling and software architecture

• Experience with complex data sets, ETL pipelines, SQL, and general data engineering

• Expertise in MLOps, API development, or mathematical optimization are highly desirable

• Expertise with cloud architecture and technologies, in particular Amazon Web Services

• Expertise with technologies like Spark, Kubernetes, Docker, Jenkins, Databricks, Terraform is also highly desirable

• Effective communication skills (with team members, the business, and in code)