Jobs · Engineering · California

Principal Engineer, YouTube Shorts, Creator Growth

Google · Mountain View, CA · 2 mo ago
On-siteEngineeringFull-time

About the role

YouTube Shorts is not just a product; it is a global engine for expression. The Creator Growth team is the vital heart of this ecosystem, responsible for inspiring over a billion viewers. As the Principal Engineer, you will grow content creation and build a sustainable ecosystem where millions of creators – from the newcomer to the established professional – find their audience and their voice. You will be responsible for the technical strategy that ensures a healthy supply of high-value content. You will solve large-scale machine learning challenges that define the next era of discovery for creation growth.

Responsibilities

  • Grow the creator ecosystem by inspiring viewers to create.
  • Model the sparse and complex Consumption to Creation (C2C) journeys to understand what truly inspires Shorts viewers to create.
  • Build attribution systems that track inspiration sources over multiple touch points.
  • Build cold-start solutions to match creators with their audiences.
  • Leverage LLMs, multi-modality modeling, and large embedding models to build specialized recommender systems that understand content at a granular level.
  • Partner with CoreX, Music, Community, and Infrastructure teams, ensuring the creator growth vision is integrated across the YouTube stack.

Requirements

  • Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
  • 15 years of experience in engineering.
  • Experience with cross-functional technical innovation.

Preferred qualifications

  • 7 years of experience in a technical leadership role responsible for multiple technical areas and setting technical direction.
  • Ability to manage multiple complex assignments simultaneously and work with geographically dispersed, cross-functional teams.
  • Deep expertise in large-scale recommendation systems (retrieval/ranking), Generative AI for content understanding, and machine learning infrastructure.

Pay

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

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