Senior Staff Software Engineer, Search Ads Monetization

Google; Mountain View (CA); Presencial; USD 262.000 - 364.000; Jornada completa

Descripción de la vacante

Google's software engineers develop the next-generation technologies for billions of users. The role focuses on AI/ML innovations across Search and Ads, including GenAI models and AI-driven optimization.

You will work on high-impact projects, collaborating across teams to design, deploy, and maintain AI-first systems. Expect involvement in product strategy, architecture, and delivering scalable solutions, with opportunities to grow in a fast-paced environment at Google.

Formación

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience in languages, data structures, and algorithms.
• 8 years with ML/AI algorithms, tools, deep learning, or related modeling.
• 8 years testing, maintaining, or launching software products, and 5 years in design/architecture.
• 7 years leading technical project strategy, ML design, and optimizing ML infrastructure.
• 2 years with GenAI techniques or GenAI concepts.

Responsabilidades

• Lead AI/ML projects in search ads and monetization.
• Collaborate with cross-functional teams on AI-driven ads optimization.
• Design, build, test, and deploy scalable AI/ML systems.
• Identify gaps and implement AI-based automation in engineering processes.
• Partner with AdsAI, GDM and other teams to explore AI in ads.

Conocimientos

Software development

ML/AI algorithms

Testing/maintenance/launch

Software design & architecture

GenAI techniques

Technical leadership

Educación

Bachelor's degree or equivalent

PhD in CS/Statistics or related

C++

Python

Herramientas

C++

Python

Descripción del empleo

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

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience in one or more programming languages, data structures, and algorithms.
• 8 years of experience with ML/AI algorithms, tools, deep learning, or other AI/ML modeling.
• 8 years of experience testing, maintaining, or launching software products, and 5 years with software design and architecture.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, fine-tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, multimodal, large vision models) or GenAI-related concepts (language modeling, computer vision).

Preferred qualifications

• PhD in Computer Science, Statistics, or related fields.
• Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
• Significant experience in software development, with proficiency in languages like C++ and Python.
• Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
• Experience building, experimenting and deploying AI-first systems and processes into production.
• Deep familiarity with Search/Ads infrastructure, auction mechanics, or generative AI models.

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.

GenAI is fundamentally transforming how people explore the web. As Search experience rapidly evolves with AI Overviews and AI Mode, the commercial engine that powers it must co-evolve. Our team sits at the exact intersection of user intent and monetization on search across both search results page (SRP) and we leverage machine learning and LLMs to reimagine the commercial journey across Google Search and Lens, ensuring we deliver value to users, advertisers, and Google’s long-term business.

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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Leverage AI/ML advancements, including LLMs and Agentic AI, to solve critical optimisation problems across search ads, from product innovation to agentic automation.
• Drive 10x better ads experiences compared to what we have today in the world of AI.
• Identify gaps in existing engineering processes and solve using AI-driven automation.
• Collaborate with teams across Search and Ads and cross-functional partners - Product Management, Data Science and UX. Build relationships with AdsAI, GDM and other Ads partners to jointly explore more in leveraging AI in ads.
• Design, build, and maintain self-service tools and platform features that embed these advanced AI/ML quality evaluation methods. Architect scalable systems for deploying and serving AI/ML models specifically for data quality assessment tasks.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .