Staff ML Software Engineer, YouTube Shorts Discovery, Funnel Growth Team
Google· YouTube
Mountain View, CA, USA$207k - $300k + bonusFull-timePosted 3d ago
About the role
Software engineer role focused on developing personalized, high-quality recommendations for YouTube Shorts, with emphasis on ML technologies and driving growth across core surfaces.
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 algorithms 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.
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.
Skills
Required:Software developmentRecommendation systems
Last updated Oct 23, 2026. Interested? Apply on the company site.
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