Senior Software Engineer, Generative AI/Machine Learning, Google Ads

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.
The Customer Experience Channels team within Google Ads is building the core AI-driven platform that connects Google with our global advertisers. Our mission is to meet customers exactly where they are and maximize their business success by leveraging agentic AI, Web UI control, and advanced Large Language Models (LLMs).
Rather than relying on static help centers, we run a multi-turn agentic framework that dynamically manages customer support inquiries. The system determines whether to resolve advertiser issues via automated, hyper-personalized responses or seamlessly transition them to human specialists. Our upcoming technology roadmap focuses on a comprehensive AI concierge that acts as a troubleshooting partner, streamlining workflows and scaling operational efficiency worldwide.
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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.