Minimum qualifications:- Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
- 15 years of experience in engineering.
- 8 years of industry experience working on Artificial Intelligence/Machine Learning (AI/ML) recommendations.
- Experience with cross-functional technical innovation.
Preferred qualifications:- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 15 years of industry experience in the recommendations technology domain.
- Experience with relevant domains such as optimizing user satisfaction and designing multi-task learning models for downstream tasks.
About the jobYouTube Shorts' mission is to give everyone a voice and show them the world through short-form videos. For viewers, we aim to provide a high quality, entertaining, and engaging experience. As the "growth engine" of the product, our team is responsible for the AI/ML systems that power Shorts recommendations across the Infinite Playback, Home, WatchNext, Notifications, etc.
In this role, you will tech-lead a team of AI/ML software engineers to grow the YouTube Shorts ecosystem by recommending Shorts that are aligned with users' dynamically changing interests. This role is focused on growing user retention and engaged visits via optimizing the feed and satisfaction of users on Shorts platform. This role involves defining technical strategies and designing large-scale recommendation systems that ensure every visit provides high-value content to the viewer.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $307000 - $427000 (USD) 30% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Define technical strategy for enhancing YouTube Shorts discovery models and systems to accelerate viewer and creator growth while improving user satisfaction.
- Provide technical leadership on high-impact projects; design, develop, test, and deploy large-scale recommendation models, novel model architectures, and optimize ML infrastructure to drive the growth of the Shorts ecosystem.
- Partner with engineering, product, data-science, and research teams to convert business goals into scalable technical solutions that grow the Shorts ecosystem.
- Facilitate alignment and clarity across teams on goals, prioritization, outcomes, and timelines. Mentor and influence to uplevel junior engineers on the team.
