Senior Staff Software Engineer, Search Ads Monetization

About the role

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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• 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.