Staff AI/ML Software Engineer, YouTube Ads Creative Foundational Infrastructure

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Advertising, Advertising Creative, Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Business Growth, Cloud Applications, Cloud Computing, Computer Science, Computer Security, Computer Skills, Computer Storage Hardware, Construction, Consulting, Cross-Functional, Data Storage, Data Structures, Deep Learning, Distributed Computing, Ecosystems, English Language, Equal Employment Opportunity (EEO), Financial Services, Genetics, German Language, Google Apps, Government, Hardware Architecture, High Throughput, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Large-Scale Systems, Leadership, Machine Learning, Matrix Management, Mentoring, Natural Language Processing (NLP), Network Design, Network Operations Center, Operations Management, Product Management, Product/Service Launch, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Sales Management, Small Business, Software Administration, Software Architecture, Software Architecture Design, Software Development, Software Engineering, Stock Purchase Plans, Systems Administration/Management, Team Lead/Manager, Technical Leadership, Technical Support, Test Plan/Schedule, Testing, Time Management, User Interface Design, YouTube
LOCATION
Mountain View, CA
POSTED
22 days ago

Staff AI/ML Software Engineer, YouTube Ads Creative Foundational Infrastructure - Google Careers

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Staff AI/ML Software Engineer, YouTube Ads Creative Foundational Infrastructure

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Minimum qualifications:

  • 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 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. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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