Staff ML Software Engineer, YouTube Shorts Discovery, Funnel Growth Team
Mountain View, CA, USA · Staff · Full-time · Posted Oct 22, 2026
- Experience
- 8 years in software development; 3 years building and deploying production recommendation models. Preferred: 8 years with data structures and algorithms; 3 years in technical leadership; 3 years on cross-functional or cross-business projects.
- Education
- Bachelor’s degree or equivalent practical experience; preferred Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
About the job
Develops and leads machine-learning recommendation systems to improve YouTube Shorts discovery and viewer growth across major YouTube surfaces.
What you'll do
- Guide development of personalized, high-quality recommendations for YouTube Shorts.
- Design and implement ML technologies and algorithms to improve recommendation quality across Home, Watch Next, Shorts First, and Notifications.
- Collaborate across teams and functions; work across the recommendation system stack.
What they ask for
- 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, including retrieval, prediction, ranking, or embedding.
- Experience building architecture in different modeling domains.
Nice to have
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience with data structures and algorithms, technical leadership, and cross-functional projects in a complex, matrixed organization.
Pay
$207000 - $300000 (USD) base salary
AI focus
Build and deploy ML recommendation systems and algorithms, including retrieval, prediction, ranking, and embedding models, to personalize YouTube Shorts discovery and improve viewer growth.
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