Machine Learning Engineer, Retail Engineering
Austin, Texas
Summary
Are you passionate about Machine Learning and Computer Vision? Our Retail Engineering Apps team is looking for someone who is ready to push the boundaries of what's possible in Apple Retail experiences.
Join our team of driven and dedicated Machine Learning engineers in the Retail Apps Engineering team in Austin. We build software and hardware solutions that power the worldwide fleet of Apple Retail locations. In this role, you will utilizing Machine Learning and Computer Vision to develop the next generation of cutting-edge products to support our Apple Retail locations.
Description
Design, develop, Implement and improve machine learning models and software for Apple Retail stores using state-of-the-art technologies with hyper-parameter optimization algorithms.
Lead a team of analysts to build a monitoring pipeline for 500+ Apple store telemetry and analytics.
Provide detailed analysis and insights to identify trends and opportunities to drive improvements in core KPIs.
Help on-boarding team members to facilitate an easy transition into the team and speed up the initial development phase.
Are you passionate about Machine Learning and Computer Vision? Our Retail Engineering Apps team is looking for someone who is ready to push the boundaries of what's possible in Apple Retail experiences.
Join our team of driven and dedicated Machine Learning engineers in the Retail Apps Engineering team in Austin. We build software and hardware solutions that power the worldwide fleet of Apple Retail locations. In this role, you will utilizing Machine Learning and Computer Vision to develop the next generation of cutting-edge products to support our Apple Retail locations.
Description
Design, develop, Implement and improve machine learning models and software for Apple Retail stores using state-of-the-art technologies with hyper-parameter optimization algorithms.
Lead a team of analysts to build a monitoring pipeline for 500+ Apple store telemetry and analytics.
Provide detailed analysis and insights to identify trends and opportunities to drive improvements in core KPIs.
Help on-boarding team members to facilitate an easy transition into the team and speed up the initial development phase.
Created: 2024-06-17
Reference: 200555284
Country: United States
State: Texas
City: Austin
ZIP: 78749
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
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