Senior Software Engineer

Nike • Beaverton, OR

1d • Remote

About The Position

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.

Requirements

• Master’s degree in Software Engineering, Computer Engineering, and Computer Science
• 2 years of experience in the job offered or in a engineering- related occupation
• 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

Responsibilities

• 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
• Build APIs and software libraries that support adoption of models in production
• Develop new and innovative solutions which delight our customers in their mission to serve Athletes
• Stay ahead of 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior