Principal Engineer, YouTube Ads Quality, Marketplace Optimization jobs in United States
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Google · 2 days ago

Principal Engineer, YouTube Ads Quality, Marketplace Optimization

Google is seeking a Principal Engineer for their YouTube Ads ML/AI team, which focuses on advancing advertising technology through the development of ML models and systems. The role involves leading the architecture and implementation of critical ML systems to enhance ad relevance and improve user experience.

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H1B Sponsor Likelynote

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

Qualification

Machine LearningDistributed SystemsCloud PlatformsLarge-scale ML SystemsAdvertising TechnologyData Processing TechnologiesStatistical ModelingPythonC++JavaGoUser ModelingMentoring

Required

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 software 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

Preferred

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

Company

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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Company data provided by crunchbase