Lead Machine Learning Engineer

Nike Inc; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Remote work

Candidate accommodations

Job summary

Nike USA Inc. in Beaverton, OR seeks a Lead Machine Learning Engineer to develop scalable analytics and ML solutions that drive business impact. You will own projects from conception to deployment, guide the AI/ML team, and collaborate with teams in Portland, Boston, and Poland.

Telecommuting is available from anywhere in the U.S., excluding SD, VT, and WV. A Master’s degree in Information Systems or Computer Science with 2 years of related experience is required, along with expertise in the

Qualifications

• Master’s degree in IS or CS and 2 years of related experience.
• Strong experience in end-to-end ML lifecycle and scalable systems.
• Proficiency with Python, AWS, Docker, and CI/CD tooling.

Responsibilities

• Develop robust analytics and ML solutions with end-to-end ownership.
• Translate business needs into scalable ML models and data pipelines.
• Mentor teammates and contribute knowledge to Nike AI/ML community.

Skills

Machine Learning / MLOps

Python

Data Structures

Data Modeling

Software Architecture

SQL & ETL Pipelines

Education

Master’s degree in Information Systems or Computer Science

Tools

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)

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.