Senior Software Engineer– NIKE, Inc.- Beaverton, OR. Serve as an integral member of a multi-functional engineering teams that delivers solutions unlocking machine learning for Nike; analyze and profile data to uncover insights in support of scalable solutions, clean, prepare and verify the integrity of data for analysis and model creation; track model accuracy, performance, relevance, and reliability; apply a variety of machine learning and collaborative filtering methods to data sets; aid in building APIs and software libraries that support adoption of models in production; leverage prior experience, knowledge of industry trends, and personal creativity to develop new and innovative solutions which delight our customers in their mission to serve Athletes; stay ahead of with industry trends and recommend relevant technologies & products in the areas of Analytics, Machine Learning, Artificial Intelligence, and Data Science tools and other emerging technologies; embrace and embody Nike’s core values (Maxims) in work and interactions with peers and stakeholders; communicate effectively, building trust and strong relationships across the company. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. Must have a Master’s degree in Software Engineering, Computer Engineering, and Computer Science and 2 years of experience in the job offered or in a engineering- related occupation. Position requires:

• Distributed Systems
• CI/CD Pipelines
• Machine Learning Pipelines
• Cloud Platforms (Azure, AWS, GCP)
• API Development
• Model development and Training
• Databricks
• Apache Spark
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Lakehouse architecture
• Large-Scale Data Preprocessing
• Programming (Python, SQL, C++)
• LLM Models (Generative AI, RAG)
• Data Governance

Apply at www.Nike.com/Careers (Job# R-84908) #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.