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Lead Machine Learning Engineer

Job in Lake Oswego, Clackamas County, Oregon, 97034, USA
Listing for: Nike Inc
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering, Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

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)

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.

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