Technical Lead, YouTube Posts Discovery, Machine Learning and Recommendation

Technical Lead, You Tube Posts Discovery, Machine Learning and Recommendation

The new Posts Discovery team will be directly responsible for Posts growth and quality efforts. Posts are a new fast-growing content format on You Tube 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 You Tube ecosystem, including You Tube's Home page, Shorts Feed, Watch Next, 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 You Tube via widely expanded recommendation and a dedicated Posts Feed with monetization, incentivize and inspire high quality Posts creation, and ultimately drive more You Tube visits via Posts recommendation.

In this role, you will tech-lead a team of AI/ML software engineers to grow the You Tube Posts ecosystem by recommending Posts that are aligned with users' dynamically changing interests. The You Tube 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.

Responsibilities:

• Define technical strategy and solutions for enhancing You Tube Posts discovery models and systems to accelerate viewer and creator growth while improving user satisfaction.
• Provide technical leadership on high-impact projects.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, and deploy large-scale recommendation models, novel model architectures, and optimize ML infrastructure to drive the growth of the Posts ecosystem.
• Partner with engineering, product, data-science to convert business goals into scalable technical solutions that grow the Posts ecosystem.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Influence and coach engineers on the team.
• Lead and mentor a team of engineers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits.