Google
Principal Engineer, YouTube Recommendations Infrastructure
Google, San Bruno, California, United States, 94066
Overview
Principal Engineer, YouTube Recommendations Infrastructure – Google We are looking for a visionary and influential Principal Engineer to help build the next generation of our Machine Learning (ML) Systems that enable new models at YouTube, including new paradigms, higher efficiency, and faster scaling. This role partners with ML/Product Engineers/Product Managers, Google Research, and Infrastructure teams to build scalable ML solutions for YouTube’s recommendations across Home, WatchNext, Shorts, Notifications, and other experiences. Responsibilities
Provide the technical vision and strategy for machine learning systems and models for recommendations. Design and lead a multi-year technical roadmap, balancing short and long-term technology investments. Develop a vision for recommendation technologies with engineers, researchers, and cross-functional partners. Drive and coordinate collaboration with Google Research/DeepMind, Quality Product, and Infrastructure teams. Review technical designs from the team and guide technical discussions. Minimum qualifications
Bachelor’s degree in Computer Science, similar technical field of study, or equivalent practical experience 15 years of software engineering experience, including technical leadership Engineering experience in machine learning with a focus in ML systems and recommendations, software development, and implementation Preferred qualifications
Master’s degree or PhD in Computer Science or related field 15 years of professional engineering experience Experience with full-stack backend software development and implementation of sustainable, well-designed systems and data pipelines, with production launch/impact Deep technical expertise in building large-scale ML systems and knowledge of ML models/algorithm design/implementation and real-world application Ability to communicate and collaborate effectively to create a shared vision or purpose Track record of technical innovation with large-scale user-facing products About the job
This role will directly support a technological push for YouTube to build the next generation ML systems and models for recommendations by partnering with ML/Product Engineers/Product Managers, Google Research, and Infrastructure teams. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. See Google\'s EEO Policy and EEO is the Law. If you require accommodation, please let us know via the Accommodations for Applicants form. Compensation
The US base salary range for this full-time position is $294,000-$414,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Recruiters can share the specific range for your location during the hiring process. Compensation details reflect base salary; bonuses, equity, and benefits are listed separately. Equal opportunity
Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Google\'s EEO Policy and the Law. If you need accommodation during the hiring process, please submit the Accommodations for Applicants form.
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Principal Engineer, YouTube Recommendations Infrastructure – Google We are looking for a visionary and influential Principal Engineer to help build the next generation of our Machine Learning (ML) Systems that enable new models at YouTube, including new paradigms, higher efficiency, and faster scaling. This role partners with ML/Product Engineers/Product Managers, Google Research, and Infrastructure teams to build scalable ML solutions for YouTube’s recommendations across Home, WatchNext, Shorts, Notifications, and other experiences. Responsibilities
Provide the technical vision and strategy for machine learning systems and models for recommendations. Design and lead a multi-year technical roadmap, balancing short and long-term technology investments. Develop a vision for recommendation technologies with engineers, researchers, and cross-functional partners. Drive and coordinate collaboration with Google Research/DeepMind, Quality Product, and Infrastructure teams. Review technical designs from the team and guide technical discussions. Minimum qualifications
Bachelor’s degree in Computer Science, similar technical field of study, or equivalent practical experience 15 years of software engineering experience, including technical leadership Engineering experience in machine learning with a focus in ML systems and recommendations, software development, and implementation Preferred qualifications
Master’s degree or PhD in Computer Science or related field 15 years of professional engineering experience Experience with full-stack backend software development and implementation of sustainable, well-designed systems and data pipelines, with production launch/impact Deep technical expertise in building large-scale ML systems and knowledge of ML models/algorithm design/implementation and real-world application Ability to communicate and collaborate effectively to create a shared vision or purpose Track record of technical innovation with large-scale user-facing products About the job
This role will directly support a technological push for YouTube to build the next generation ML systems and models for recommendations by partnering with ML/Product Engineers/Product Managers, Google Research, and Infrastructure teams. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. See Google\'s EEO Policy and EEO is the Law. If you require accommodation, please let us know via the Accommodations for Applicants form. Compensation
The US base salary range for this full-time position is $294,000-$414,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Recruiters can share the specific range for your location during the hiring process. Compensation details reflect base salary; bonuses, equity, and benefits are listed separately. Equal opportunity
Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Google\'s EEO Policy and the Law. If you need accommodation during the hiring process, please submit the Accommodations for Applicants form.
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