Principal Engineer, Youtube Ads Quality, Marketplace Optimization

Principal Engineer, YouTube Ads Quality, Marketplace Optimization

The YouTube Ads Machine Learning/Artificial Intelligence (ML/AI) team is a collaborative group of engineers and researchers pushing advertising technology boundaries. We develop and deploy advanced ML models and systems for the YouTube Ads ecosystem, covering: ad ranking and optimization, building models for relevant and engaging ads, optimizing for clicks, conversions and view-through rates by understanding user intent and context; targeting and audience segmentation, developing intelligent systems for precise ad targeting and effective audience segmentation, improving user experience through relevance; and new ad product innovation, exploring and implementing novel ML/AI techniques for new, impactful advertising solutions that are less disruptive and more integrated. As a Principal Engineer for our YouTube Ads ML/AI team, you will be a technical leader, driving the architecture and implementation of critical ML systems for the future of YouTube advertising. Your focus will be on advancing ad relevance to enhance user experience, making ads a valuable part of their journey.

Responsibilities:

• Lead technical strategy and roadmap for ML/AI initiatives in YouTube Ads, ensuring scalability, reliability, and performance with an emphasis on ad relevance and user experience.
• Design and develop scalable ML systems and infrastructure for billions of daily requests, prioritizing low-latency relevance predictions, driving selection of ML techniques and tools, and focusing on models that optimize for advertiser return on investment and positive user sentiment.
• Mentor engineers, fostering excellence in building user-centric ad experiences and collaborating with product managers and researchers to define requirements and deliver high-impact features that improve ad relevance and user satisfaction.
• Identify and mitigate technical risks, and balance short-term needs with long-term goals for sustainable ad relevance.
• Stay current with ML/AI and advertising tech, identifying opportunities to enhance ad performance and user perception.

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.