Lead Machine Learning Engineer

Nike; Oregon; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Nike Inc. in Beaverton, OR is seeking a Lead Machine Learning Engineer to develop robust analytics and ML solutions that directly impact the business.

You will own projects end-to-end—from conception to deployment—while guiding teammates and shaping technical vision within Nike's AI/ML group. You will collaborate with teams in Portland, Boston, and Poland, design scalable data-driven applications, and contribute to core analytics platforms.

Qualifications

• Master's degree in Information Systems or Computer Science and 2 years of related experience.
• Experience in building scalable ML/AI solutions in production environments.
• Strong knowledge of CS fundamentals and software engineering practices.

Responsibilities

• Develop robust analytics and ML solutions from conception to production.
• Own projects end-to-end, from design to operationalization.
• Design scalable applications leveraging prediction models and optimization.
• Mentor teammates and contribute knowledge to Nike's analytics and engineering communities.

Skills

Machine Learning / MLOps

Data Structures

Data Modeling

Software Architecture

Education

Master's degree in Information Systems or Computer Science

Tools

Python

AWS

Docker - CI/CD (Jenkins)

Apache Spark - Kubernetes

Databricks

Terraform

Snowflake

PostgreSQL

Job description

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)

#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.