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Job Description
- Guide the development of personalized recommendations that shape the YouTube Shopping experience for millions of users.
- Serve as a technical leader, responsible for defining the team's charter, identifying new product opportunities, and executing projects that bridge gaps in the recommendations ecosystem.
- Drive viewer growth by designing and implementing machine learning (ML) technologies and algorithms to enhance Shopping recommendation quality across YouTube surfaces, including Home, Watch Next, and Shorts.
- Drive cross-team and cross-functional collaborations, working with the product manager for YouTube Shopping recommendations and cross-functional partners to build a team for billions of users.
- Gain experience across the recommendation system stack, working with and developing technologies such as model architecture and large language models (LLMs).
