Lead Machine Learning Engineer

Posted 7 Days Ago
Be an Early Applicant
Beaverton, OR, USA
In-Office
Junior
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role
Develop and operationalize scalable machine learning and advanced analytics solutions with business impact. Lead projects through the software development lifecycle, provide technical guidance, build prediction and optimization applications, contribute to ML platforms, and mentor teammates. The role requires collaboration with global AI/ML teams and expertise across cloud infrastructure, data engineering, MLOps, and software architecture.
Summary Generated by Built In

Lead Machine Learning Engineer– NIKE USA Inc., Beaverton, OR. Develop robust advanced analytics and machine learning solutions that have a direct impact on the business; own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle; provide technical vision and guidance to the teammates; work with the Artificial Intelligence and Machine Learning (Al/ML) team at Nike with teammates in Portland, Boston, and Poland, and join a global organization working to solve machine learning problems at scale; design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact; contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development; develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV. 

Must have a Master’s degree in Information Systems, Computer Science and 2 years of experience in the job offered or in a engineering-related occupation.  

Position requires:  

• Python  

• AWS (Amazon Web Services)  

• Machine Learning / MLOps  

• Docker • CI/CD (Jenkins)  

• SQL and ETL Pipelines  

• Data Structures, Data Modeling and Software Architecture  

• Apache Spark • Kubernetes  

• Databricks  

• Terraform  

• Database Technologies (Snowflake, PostgreSQL) 

 

Apply at www.jobs.nike.com (Job# R-95900) 

#LI-DNI

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.

Skills Required

  • Master's degree in Information Systems or Computer Science
  • Two years of experience in the job offered or an engineering-related occupation
  • Python
  • AWS Amazon Web Services
  • Machine Learning and MLOps
  • Docker
  • CI/CD and Jenkins
  • SQL and ETL pipelines
  • Data structures, data modeling, and software architecture
  • Apache Spark
  • Kubernetes
  • Databricks
  • Terraform
  • Snowflake and PostgreSQL

Nike Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.

  • Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
  • Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
  • Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.

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

What We Do

At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.

Why Work With Us

At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.

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