Lead Machine Learning Engineer

Nike • Beaverton, OR

18h • Remote

About The Position

NIKE USA Inc. is hiring a Lead Machine Learning Engineer in Beaverton, Oregon. The role develops robust advanced analytics and machine learning solutions with direct business impact. The engineer owns projects end-to-end, from conception through operationalization, and applies an understanding of the full software development lifecycle. The position provides technical vision and guidance to teammates and collaborates with Nike’s Artificial Intelligence and Machine Learning team, whose members are based in Portland, Boston, and Poland.

The engineer designs and implements scalable applications that use prediction models and optimization programs to support data-driven decisions. The role also contributes to core advanced analytics and machine learning platforms and tools that enable prediction and optimization model development. The engineer is expected to develop and share skills, mentor others, and contribute knowledge and software to analytics and engineering communities within and outside Nike.

Telecommuting is available from anywhere in the United States except South Dakota, Vermont, and West Virginia.

Requirements

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

Responsibilities

• Develop advanced analytics and machine learning solutions that have a direct impact on the business.
• Own projects end-to-end, from conception through operationalization, applying an understanding of the full software development lifecycle.
• Provide technical vision and guidance to teammates.
• Design and implement scalable applications that leverage prediction models and optimization programs to deliver data-driven decisions.
• Contribute to core advanced analytics and machine learning platforms and tools for prediction and optimization model development.
• Develop and share new skills, mentor others, and contribute knowledge and software to analytics and engineering communities within Nike and more broadly.

Benefits

• Interview-process accommodations are available, including screen readers, sign language interpreters, accessible and single-location in-person interviews, closed captioning, and other reasonable modifications as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior