Principal Software Engineer

Posted 2 Days Ago
Be an Early Applicant
United States of America
138K-327K Annually
Senior level
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role
As a Principal AI/ML Engineer at Nike, you will influence and develop machine learning solutions, leading projects end-to-end and guiding your team. Responsibilities include designing scalable applications, contributing to AI/ML platforms, and collaborating with global teams to deliver data-driven decisions that impact the business.
Summary Generated by Built In

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

The annual base salary for this position ranges from $138,400.00 in our lowest geographic market to $327,200.00 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.
 

Principal AI/ML 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 Principal AI/ML Engineer, you will influence and develop robust machine learning and generative AI 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. Sagemaker or DataBricks).  You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model.  As a Principal AI/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, machine learning, and generative AI 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, a Master’s degree in a related engineering field, or equivalent experience
  • 7+ years of professional experience in software engineering, machine learning, or related fields
  • Strong analytical mindset and experience leading others in problem solving
  • Proficiency working in a team and mentoring others 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
  • Expertise with data structures, data modeling and software architecture
  • Expertise in producing predictive or mathematical optimization models and deploying them to production
  • Experience with complex data sets, ETL pipelines, SQL, and general data engineering
  • Expertise in MLOps or API development is highly desirable
  • Expertise with cloud architecture and technologies, especially Amazon Web Services
  • Expertise with Spark, Kubernetes, Docker, Jenkins, Databricks, or Terraform is highly desirable
  • Effective communication skills with team members, stakeholders, the business, and in code
  • Experience influencing technical strategy through all aspects of technical design and implementation
  • Proficiency providing technical leadership within a team and mentorship to others

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.

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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.

Top Skills

Python
The Company
HQ: Beaverton, OR
73,000 Employees
Hybrid Workplace
Year Founded: 1972

What We Do

At NIKE, Inc., it’s in our nature to innovate and our mission is to bring inspiration and innovation to every athlete* in the world [if you have a body, you’re an athlete]. Because we exist to serve athletes, we dare to design the future of sport. To us, innovation is about elevating human potential. We obsess over the needs of athletes of all abilities, using their insights to create products that are beautiful, useful and make all athletes better. To make big leaps, we take big risks. Incremental change won’t get us to where we want to go fast enough. So we pursue moonshots — like developing the first self-lacing shoe, running the first two-hour marathon and committing to 100% renewable energy use in our facilities. We embrace different perspectives — from scientists and designers to coders and quarterbacks — because we know everyone brings unique experiences and ideas to the team. To serve athletes across the hundreds of countries where NIKE does business, we need teams that truly reflect the diversity of our consumers and a culture of inclusivity. We aim to foster inclusion and embrace diversity throughout our business, teams, and culture to create breakthrough innovations, empower teammates to realize their full potential and bring us closer to the communities we serve. NIKE's diverse, high-performing teams around the world are united in purpose and inspired to change the world through sport.

Why Work With Us

With a global footprint, culture of innovation and team-first mentality, we take action to create a future of continual progress for athletes, sport and our world. Whether our job is designing the ultimate sneaker or coding a revolutionary app, we’re united by the same mission: to bring inspiration and innovation to every athlete in the world.

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