Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.
A Master’s degree in Computer Science and Engineering, Machine Learning, Data Science, Computer Information Systems, and 2 years of experience in the job or related field is required. Experience must include Agile Software Development, ETL, Git, Docker, REST API, Python, AWS, Pandas, and Machine Learning.
This information is not specified in the job description.
You will work with the Artificial Intelligence and Machine Learning (AI/ML) team, global team, commercial and consumer analytics, and enterprise architecture teams.
Apply at www.Nike.com/Careers using Job# R-70336.
Designs and sells athletic footwear and apparel
Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.