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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; San Bruno, CA, USA.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: speech/audio
(e.g., technology duplicating and responding to the human voice),
reinforcement learning (e.g., sequential decision making), ML
infrastructure, or specialization in another ML field. - 5 years of experience with design and architecture; and testing/launching software products.
Preferred qualifications: - Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience working on Artificial Intelligence/Machine Learning (AI/ML) recommendations.
- 8 years of experience in the recommendations technology domain.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
About the jobIn this role, you will focus on engaged visits via optimizing the feed and satisfaction of users on Shorts platform. This involves defining technical strategies and designing large-scale recommendation systems that ensure every visit provides high-value content to the viewer. You will lead a team in growing YouTube Shorts ecosystem by recommending Shorts that align with users' dynamically changing interests.
The YouTube Shorts discovery models are a suite of large-scale AI/ML systems designed to model users' interests by leveraging Google-wide data sources, understanding Shorts' content and recommending the right content to the viewers. Designed for multi-task learning across various surfaces, these models are applied to numerous downstream tasks, including retrieval, user action predictions, rich user model generation, and knowledge distillation for training more compact models.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Define technical strategy for enhancing YouTube Shorts discovery models and systems to accelerate viewer and creator growth while improving user satisfaction.
- Provide technical leadership on high-impact projects.
- Design, develop, test, and deploy large-scale recommendation models, novel model architectures, and optimize ML infrastructure to drive the growth of the Shorts ecosystem.
- Partner with Engineering, Product, Data Science, and Research teams to convert business goals into scalable technical solutions that grow the Shorts ecosystem.
- Facilitate alignment and clarity across teams on goals, prioritization, outcomes, and timelines. Mentor and influence to uplevel junior engineers on the team.
