Machine Learning Engineer

Nike • Beaverton, OR

92d • Remote

About The Position

Become a Part of the NIKE, Inc. Team. NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game. Machine Learning Engineer - Nike USA Inc.- Beaverton, OR. Develop robust advanced analytics and machine learning solutions that have a direct impact on the Supply Chain infrastructure; own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle; provide technical vision and guidance to your teammates; work with the Artificial Intelligence and Machine Learning (AI/ML) team; work 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; and work closely with the global team, along with commercial and consumer analytics, and enterprise architecture teams. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.

Requirements

• Master's degree in Computer Science and Engineering, Machine Learning, Data Science, Computer Information Systems.
• 2 years of experience in the job offered or an Engineering-related occupation.
• Experience in Agile Software Development.
• Experience with ETL.
• Experience with Git.
• Experience with Docker.
• Experience with REST API.
• Experience with Python.
• Experience with AWS.
• Experience with Pandas.
• Experience in Machine Learning.

Responsibilities

• Develop robust advanced analytics and machine learning solutions that have a direct impact on the Supply Chain infrastructure.
• Own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle.
• Provide technical vision and guidance to your teammates.
• Work with the Artificial Intelligence and Machine Learning (AI/ML) team.
• Solve machine learning problems at scale.
• Design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions.
• Contribute to core advanced analytics and machine learning platforms and tools.
• Develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities.
• Work closely with the global team, along with commercial and consumer analytics, and enterprise architecture teams.

Benefits

• Generous total rewards package.
• Casual work environment.
• Diverse and inclusive culture.
• Electric atmosphere for professional development.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Apparel Manufacturing
• Education Level: Master's degree