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.

Những điều bạn cần biết

QUY TRÌNH TUYỂN DỤNG CỦA CHÚNG TÔI

01 Ứng tuyển

Sự đa dạng về kỹ năng, kiến ​​thức, ý tưởng và nền tảng chính là yếu tố tạo nên đội ngũ nhân viên của chúng tôi. Chính vì vậy, hãy xem xét kỹ phần mô tả về công việc, phòng ban và bộ phận để tìm kiếm vị trí phù hợp với bạn.

02 Gặp gỡ nhà tuyển dụng hoặc thực hiện bài thi đánh giá

Nếu vượt qua vòng loại của bộ phận văn phòng, bạn sẽ nhận được lời mời tham gia phỏng vấn từ nhà tuyển dụng và đây sẽ là đầu mối liên hệ chính của bạn trong toàn bộ quá trình. Với vị trí thuộc bộ phận bán lẻ, bạn sẽ phải hoàn thành một bài thi đánh giá mang tính tương tác bao gồm phần trò chuyện và trắc nghiệm với thời lượng khoảng 10-20 phút. Bất kể là đối với vị trí công việc nào, điều chúng tôi mong muốn chính là được hiểu rõ hơn về bạn – trên mọi khía cạnh – chính vì vậy, đừng ngần ngại chia sẻ những ý tưởng để bạn có thể hoàn thành công việc một cách xuất sắc nhất cũng như nét độc đáo của riêng bạn.

03 Phỏng vấn

Hãy tự tin bước vào vòng phỏng vấn bằng cách nghiên cứu, tìm hiểu những kỳ vọng của chúng tôi cũng như chuẩn bị cho các câu hỏi liên quan đến bản thân và nền tảng của bạn.

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