Staff ML Software Engineer, Ads Modeling, Personalization, and Quality

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Staff ML Software Engineer for Ads Modeling, Personalization, and Quality to lead design and deployment of ML systems across Google Ads.

You will build deep learning models, collaborate with research teams, and improve ad quality and performance at scale. This role requires extensive ML expertise, leadership, and a track record in delivering large-scale software products.

Qualifications

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML/AI algorithms and tools, deep learning or other AI/ML modeling.
• Experience in the digital Ads ecosystem.

Responsibilities

• Design new deep learning based ML models to predict users’ interaction with different ad formats across Google’s various ad delivery channels.
• Incorporate and engineer input features from ad creatives, publisher pages/content, as well as users’ personalized ad history to improve models’ accuracy.
• Improve the efficiency and reliability of ML models by designing novel model architectures and adopting development and release processes.
• Debug and troubleshoot advertiser performance problems.
• Work with Product Management, UX, and partner teams to design and deliver new ad experiences. Leverage data and metrics to help evaluate product success and drive business decisions.

Skills

Software development

ML design

ML deployment

Model evaluation

Data processing

Debugging

Fine tuning

Ad tech experience

Education

Bachelor's degree in Computer Science or related field

Job description

Staff ML Software Engineer, Ads Modeling, Personalization, and Quality

Share Staff ML Software Engineer, Ads Modeling, Personalization, and Quality

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• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML/AI algorithms and tools, deep learning or other AI/ML modeling.
• Experience in the digital Ads ecosystem.

Preferred qualifications:

• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
• Experience with advertising products, quality work in ads, or with statistical modeling and experimentation/analysis.
• Experience in quality or modeling engineering teams.

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.

App Ads is one of the fastest growing businesses in Google Ads, with an annual run rate of over $20B. Our business drives a significant portion of business growth for Google overall. It affects the lives of users around the world by helping them find new games, plan vacations, and shop for great agreements or fun experiences, etc. Our team delivers engineering innovations to improve the App Ads Quality and provide key technologies to empower App Ads business growth. We focus on building machine learning models to predict users’ interaction with ads, and combining them with principled optimization techniques to help publishers monetize their content and advertisers acquire engaged users.

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.

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.

App Ads is one of the fastest growing businesses in Google Ads, with an annual run rate of over $20B. Our business drives a significant portion of business growth for Google overall. It affects the lives of users around the world by helping them find new games, plan vacations, and shop for great agreements or fun experiences, etc. Our team delivers engineering innovations to improve the App Ads Quality and provide key technologies to empower App Ads business growth. We focus on building machine learning models to predict users’ interaction with ads, and combining them with principled optimization techniques to help publishers monetize their content and advertisers acquire engaged users.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

• Design new deep learning based ML models to predict users’ interaction with different ad formats across Google’s various ad delivery channels.
• Incorporate and engineer input features from ad creatives, publisher pages/content, as well as users’ personalized ad history to improve models’ accuracy.
• Improve the efficiency and reliability of ML models by designing novel model architectures and adopting development and release processes.
• Debug and troubleshoot advertiser performance problems.
• Work with Product Management, UX, and partner teams to design and deliver new ad experiences. Leverage data and metrics to help evaluate product success and drive business decisions.

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.

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.