Principal Engineer, YouTube ML Content Recommendations

Principal Engineer, YouTube ML Content Recommendations
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Qualifications

Required: Bachelor’s degree in Computer Science or equivalent, 15 years software engineering experience including technical leadership, engineering experience in Machine Learning with a focus in recommendations and computer vision/image processing, experience in computer science, data structures, algorithms, and software design.

Preferred: Master’s degree or PhD in Computer Science or related field, experience with full‑stack backend software development and implementation of sustainable, well‑designed systems and data pipelines with production launch/impact, technical expertise in computer vision/image processing algorithms, ability to communicate and collaborate effectively cross‑team and cross‑functionality, ability to think strategically to develop innovative product solutions.

Responsibilities

Provide the technical outlook and strategy for content recommendations. Design and lead a multi‑year technical roadmap, balancing short and long‑term technology investments.

Develop product outlook for content recommendation products with Product Management, UX, and other cross‑functional partners.

Drive and coordinate collaboration with Google Research and various product teams at YouTube.

Communicate team’s plans with YouTube leadership.

Review technical design from the team and guide technical discussions, as well as mentor Senior Individual Contributors.

About the job
As Principal Engineer, you help bring better machine learning (ML) content understanding for recommendations to YouTube. This will be a technological push for YouTube and will involve partnering closely with ML/Product Engineers to build better experiences for our users, with Google Research to understand, create, or adapt new technology for YouTube’s products, and with Infrastructure Teams to build scalable solutions.

In this role, you will be a trusted partner to provide feedback and help in upleveling content understanding (e.g., via computer vision and image processing) for content recommendations as a whole. Your work will help us scale these solutions for Responsible Recommendations in the YouTube Home, WatchNext, Shorts Notifications, and other experiences.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training. US: $307,000 – $428,000 (USD) + 30% bonus target + equity + benefits.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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