About the job
The new Posts Discovery team will be directly responsible for Posts growth and quality efforts. Posts are a new fast-growing content format on YouTube used by creators to share text, images, polls, quizzes and are already enjoyed by 300M+ daily engaged users. Our team is responsible for recommending posts safely across the entire YouTube ecosystem, including YouTube's Home page, Shorts Feed, WatchNext, Search, Notifications, and dedicated vertical experiences such as News. In short, we aim to serve appropriate posts to the appropriate users at an appropriate time.
In the next couple years, the team's mission is to grow Posts as a primary content on YouTube via widely expanded recommendation and a dedicated Posts Feed with monetization, incentivize and inspire high quality Posts creation, and ultimately drive more YouTube visits via Posts recommendation.
In this role, you will tech-lead a team of AI/ML
software engineers to grow the YouTube Posts ecosystem by recommending Posts that are aligned with users' dynamically changing interests. The YouTube Posts discovery models are a suite of large-scale AI/ML systems designed to model users' interests by leveraging Google-wide data sources, understanding Posts' content and recommending the right content to the viewers. Designed for multi-task learning across various surfaces, these models are applied to numerous downstream tasks, including retrieval, user action predictions, rich user model generation, and knowledge distillation for training more compact models.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.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.