Senior Software Engineer, YouTube Ads Marketplace Optimization

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Senior Software Engineer to advance the YouTube Ads Marketplace Optimization through scalable AI models and distributed systems.

You will work with ML and data scientists to build large-scale recommender systems, deploy models, and improve ads relevance across the YouTube Ads ecosystem.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
• Experience applying Machine Learning techniques to build predictive models.
• Experience in building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.

Responsibilities

• Apply AI, machine learning, and LLMs to optimize the YouTube Ads marketplace.
• Develop sequence and graph-based AI models to improve ads optimization.
• Develop and connect various serving components within the ad stack.
• Analyze and optimize the YouTube ads ecosystem and serving stack.

Skills

Software development

Machine learning

Distributed computing

Recommendation systems

Model deployment/evaluation

Education

Bachelor's degree or equivalent practical experience

Job description

Senior Software Engineer, YouTube Ads Marketplace Optimization

Share Senior Software Engineer, YouTube Ads Marketplace Optimization

YouTube Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
• Experience applying Machine Learning techniques to build predictive models.
• Experience in building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience with graph algorithms and graph mining.
• Experience applying analytical reasoning to software engineering problems.
• Ads experimentation and analysis.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Grow the YouTube Ads business by understanding user interest and recommend ads that are aligned with user interest. The YouTube Ads User Models are a suite of large-scale AI systems designed to model users commercial interests by leveraging Google-wide data sources approved for advertising purposes. Designed for multi-task learning across various surfaces, these models are applied to numerous downstream tasks, including retrieval, user action prediction, rich user generation, and knowledge distillation for training more compact models.

Work with a team of software engineers, ML engineers, and Data Scientists to understand long-term user interest from a source of information from across the company. Build a large recommendation system using LLMs, Sequence Modeling, GNNs, and other similar algorithms. Predict likelihood of user interest in a particular ad.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Apply AI, machine learning, and LLMs to optimize the YouTube Ads marketplace.
• Develop sequence and graph-based AI models to improve ads optimization.
• Develop and connect various serving components within the ad stack.
• Analyze and optimize the YouTube ads ecosystem and serving stack. Sequence and Graph based AI models by developing distributed data processing pipelines, develop and connect various serving components.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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, are 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.