Staff ML Software Engineer, Shorts Discovery & Growth

Google LLC

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

14 days+

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Job summary

Google's YouTube Shorts Discovery team seeks a Staff ML Software Engineer to help shape the recommendations powering Shorts for billions of views. You will lead design and implementation across retrieval, ranking, and embeddings, influencing how users discover and engage with content.

The role combines advanced ML with large-scale systems, cross-functional leadership, and hands-on coding. In Mountain View, you’ll collaborate with research, infra, and product teams to push the boundaries of

Qualifications

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
3 years building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production.

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 ML technologies and algorithms to enhance Shorts recommendation quality across Home, Watch Next, Shorts First, Notifications.
Gain experience across the entire recommendation system stack.
Drive cross-team and cross-functional collaborations.