Lead Machine Learning Engineer

Responsibilities

Develop and operationalize robust machine learning solutions and advanced analytics to drive business impact. Provide technical vision and guidance to the team while contributing to core analytics platforms and tools.

Requirements

Requires a Master’s degree in Information Systems or Computer Science and at least 2 years of relevant engineering experience. Candidates must possess strong technical proficiency in Python, AWS, MLOps, and various data engineering tools.

Skills

• Python
• AWS
• Machine Learning
• MLOps
• Docker
• CI/CD
• Jenkins
• SQL
• ETL Pipelines
• Data Structures
• Data Modeling
• Software Architecture
• Apache Spark
• Kubernetes
• Databricks
• Terraform

Benefits

• Reasonable accommodations for interview process
• Candidate accommodation support

About this role

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.

About Nike

Retail · 10,001+ employees · headquartered in Beaverton, OR