Principal Engineer, YouTube Ads Quality, Marketplace Optimization

Principal Engineer, You Tube Ads Quality, Marketplace Optimization

4 days ago Be among the first 25 applicants

Preferred working location: San Bruno, CA, USA;
Kirkland, WA, USA;
Mountain View, CA, USA.

• Master’s degree in Computer Science, Machine Learning, or related quantitative field, with a focus on recommender systems, user modeling, or computational advertising, or equivalent practical experience.
• 15 years of experience in development, including experience in ML/AI.
• Experience with distributed systems and cloud platforms (e.g., Google Cloud Platform).
• Experience in technical roles working with ML algorithms, statistical modeling, and data science principles applied to user-facing products.

• PhD degree in Computer Science, a related technical field, or equivalent practical experience.
• Experience with large-scale data processing technologies for ad relevance models.
• Experience in designing, building, and deploying large-scale production ML systems for ranking, recommendations, or personalization.
• Experience in advertising technology, specifically ad serving, ranking, or optimization, with improvements in user ad experience, coupled with experience leading and delivering impactful ML/AI projects and demonstrating measurable improvements in ad relevance and user satisfaction.
• Proficiency in Python, C++, Java, or Go.

The You Tube 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 You Tube 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 You Tube Ads ML/AI team, you will be a technical leader, driving the architecture and implementation of critical ML systems for the future of You Tube advertising. Your focus will be on advancing ad relevance to enhance user experience, making ads a valuable part of their journey.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics.

• Lead technical strategy and roadmap for ML/AI initiatives in You Tube 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 workplace and is 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Director

Full-time

Information Technology and Engineering

US base salary range for this full-time position is $294,000‑$414,000 + bonus + equity + benefits. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.