Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
3 years of experience building and deploying recommendation systems models in production.
Master's degree or PhD in Engineering, Computer Science, or a related field preferred.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role.
3 years of experience in a complex, matrixed organization.
Responsibilities
Guide the development of personalized, high-quality recommendations for YouTube Shorts.
Drive viewer growth by designing and implementing ML technologies for enhanced recommendation quality.
Gain experience across the entire recommendation system stack.
Facilitate cross-team and cross-functional collaborations.
Benefits
20% bonus target equity benefits.
Comprehensive health and wellness programs.
Generous paid time off and parental leave.
Opportunities for professional development and growth.
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
Preferred qualifications:
Master's degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Responsibilities
Guide the development of personalized, high-quality recommendations that will directly shape the YouTube Shorts experience for millions of users.
Drive significant viewer growth by designing and implementing ML technologies and algorithm to enhance shorts recommendation quality across major YouTube surfaces, including Home, Watch Next, Shorts First, Notifications.
Gain experience across the entire recommendation system stack.
Drive cross-team and cross-functional collaborations.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
