
Mountain View, California, United States of America
10K+ Employees
Principal Engineer, YouTube ML Recommendations Systems
Location not specified
Job Description
We are looking for a visionary and influential Principal Engineer to help build the next generation of our Machine Learning (ML) Systems that enable new models at YouTube, including new paradigms, higher efficiency, and faster scaling. This will directly support a technological push for YouTube to build the next generation ML systems and models for recommendations.
This role will involve partnering closely with ML/Product Engineers/Product Managers to build better experiences for our viewers; with Google Research to understand, create, or adapt new technology for YouTube’s products; and with Infrastructure teams to build the next generation scalable solutions. This role also requires being a trusted partner to provide feedback and help in upleveling ML infrastructure and models for recommendations as a whole.
Your work will help us scale these solutions for Responsible Recommendations in the YouTube Home, WatchNext, Shorts, Notifications, and other viewer experiences. This is an extremely exciting opportunity to pioneer areas at YouTube that will help improve our content recommendations and content understanding across the board.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world.
We explore new ideas, solve real problems, and have fun — and we do it all together.
About Google
Google, LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware.
Job overview
Employment type
Full Time
Experience level
Senior
Work type
On Site
Department
Engineering
Financials
Type
public
Annual Revenue
$1B-$10B
Market Cap
--
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