Staff AI/ML Software Engineer, YouTube Ads Creative Foundations

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 AI/ML Software Engineer for YouTube Ads Creative Foundations. You will lead the design and delivery of scalable AI/ML infrastructure and GenAI-driven ad tech across YouTube Ads.

This role focuses on building high‑throughput systems, coordinating with product and research teams, and mentoring engineers. You will own critical infrastructure that powers creative generation and optimization.

Qualifications

• 8 years of software development experience.
• 5 years of experience testing and launching software products.
• 5 years of experience building large-scale infrastructure or distributed systems.
• 3 years of experience with software design and architecture.
• Experience designing or deploying ML infrastructure or platforms.

Responsibilities

• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance software solutions.
• Collaborate with Product Management, Research, and leadership to align infrastructure with long-term goals.

Skills

Software development

Software testing

Large-scale infra

Software design

ML infrastructure

Education

Bachelor's degree in CS or related field

Tools

TensorFlow

PyTorch

Cloud data technologies

Job description

Staff AI/ML Software Engineer, YouTube Ads Creative Foundations

Share Staff AI/ML Software Engineer, YouTube Ads Creative Foundations

YouTube Mountain View, CA, USA

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

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
• Experience designing or deploying machine learning (ML) infrastructure or platforms.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 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, matrixed organization involving cross-functional, or cross-business projects.
• Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and cloud/distributed data technologies.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

YouTube Ads is a multi-billion dollar business and the fastest growing segment of Google's Ads. Our mission is to power the YouTube ecosystem by keeping it free and engaging for users, responsibility rewarding creators and connecting businesses to their unique audiences.

The YouTube Ads Creative Optimization (YACO) team drives the mission to effectively connect businesses and users with the best creative technology. We specialize in Creative Automation applications that drive advertiser value with minimal advertiser effort through leveraging the AI technologies. This team uniquely grows at the intersection of Ads, YouTube and Research.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

YouTube Ads is a multi‑billion dollar business and the fastest growing segment of Google's Ads. Our mission is to power the YouTube ecosystem by keeping it free and engaging for users, responsibility rewarding creators and connecting businesses to their unique audiences.

The YouTube Ads Creative Optimization (YACO) team drives the mission to effectively connect businesses and users with the best creative technology. We specialize in Creative Automation applications that drive advertiser value with minimal advertiser effort through leveraging the AI technologies. This team uniquely grows at the intersection of Ads, YouTube and Research.

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 .

• Serve as the technical leader responsible for architecting, scaling, and steering the next‑generation infrastructure that powers our AI/ML applications. You will operate at the intersection of Ads, YouTube, and GenAI research to build high‑throughput systems that enable seamless creative generation and optimization.
• Define the technical roadmap and architect scalable foundational infrastructure, including creative data engines, generation and rendering pipelines, and agentic orchestration frameworks.
• Design and optimize distributed systems to manage complex GenAI and heavy media‑processing workloads efficiently.
• Build and mature experiment and learning infrastructure to accelerate model training, evaluation, and rapid deployment.
• Partner with Product Management, Research, and executive leadership to align infrastructure capabilities with long‑term business goals. Guide, mentor, and elevate executive and junior engineers on the team, fostering a culture of technical excellence and execution.

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.