Software Engineer

Posted:
12/16/2025, 4:12:32 PM

Location(s):
Oregon, United States ⋅ Beaverton, Oregon, United States

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
On-site

Software Engineer Nike USA Inc.- Beaverton, OR. Develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments; develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms; use machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy; use current programming language and technologies to translate algorithms and technical specifications into code; complete programming and implements efficiencies, performs testing and debugging; complete documentation and procedures for installation and maintenance; apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations; adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience; and work with large scale computing frameworks, data analysis systems and modeling environments. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV. 

Must have a Master’s degree in Computer Science or Data Science and two (2) years of experience in the job offered or in an engineering-related occupation. 

Experience must include: 

Python 

Spark 

Machine Learning 

MLOps 

Airflow 

Big Data 

Databricks 

AWS 

API 

CI/CD 

ETL 

Snowflake 

 

 

Apply at www.Nike.com/Careers (Job# R-76210)  

#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.