Lead Machine Learning Engineer

RemoteRemoteFull TimeLeadPosted 12 days agoVisa sponsorship available

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Required skills

advanced analytics
machine learning solutions
software development lifecycle
prediction models
optimization programs
data driven decisions
advanced analytics platforms
machine learning platforms
prediction model development
optimization model development

Nice to have

telecommuting

Role summary

NIKE USA Inc. is seeking a Lead Machine Learning Engineer in Beaverton, OR. This role involves developing and operationalizing advanced analytics and machine learning solutions, providing technical leadership, and contributing to core ML platforms. The position requires a Master's degree in Information Systems or Computer Science, 2 years of experience, and proficiency in Python, AWS, ML/MLOps, Docker, CI/CD, SQL, ETL, Data Modeling, Software Architecture, Apache Spark, Kubernetes, Databricks, Terraform, and various database technologies like Snowflake and PostgreSQL. Telecommuting is available from anywhere in the U.S. except SD, VT, and WV.

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.

Sample NIKE interview questions

1
Design a fitness tracker like Nike Training Club
system designmedium
2
Design a microservices architecture using Java Spring Boot
system designmedium
3
Describe your experience and knowledge of AWS services.
technicaldifficult
4
Tell me about a specific project or experience listed on your resume.
technicaldifficult
5
Have you participated in any craft conferences, and what was one important takeaway from a recent one?
technicalmedium

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