As Principal Engineer, you help bring better machine learning (ML) content understanding for recommendations to YouTube. This will be a technological push for YouTube and will involve partnering closely with ML/Product Engineers to build better experiences for our users, with Google Research to understand, create, or adapt new technology for YouTube’s products, and with Infrastructure Teams to build scalable solutions.
In this role, you will be a trusted partner to provide feedback and help in upleveling content understanding (e.g. via computer vision and image processing) for content recommendations as a whole. Your work will help us scale these solutions for Responsible Recommendations in the YouTube Home, WatchNext, Shorts Notifications, and experiences.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.Based on 7,918 disclosed Software salaries on RoleSuite, the role pays a median of $158K/year, with most offers between $124K and $200K (10th–90th percentile: $102K–$235K).
This posting lists $307K–$428K, above the $158K market median.
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