Staff Software Engineer, Search and Shopping ProxyBidder

About this role

Minimum qualifications: Bachelor's degree or equivalent practical experience.

8 years of experience programming in C++, Java, Python, Kotlin or Go.

5 years of experience testing, and launching software products.

3 years of experience with software design and architecture.

Experience integrating generative AI tools or LLM interfaces into workflows.

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.

Experience with Ads systems, mechanism design, and smart bidding.

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 Proxybidder team’s mission is to build bidding modeling, optimization algorithms and platforms for Search and Shopping Ads. The Bidding team is focused on building and growing adoption of the next generation of bidding technology and products to drive value to all types of advertisers. The includes the Search and Shopping Bidding systems (ML, optimization systems, new bid strategies and algorithms, GenAI, data systems, and platforms) and launching both advertiser-facing bidding products and backend improvements.

The team works closely with almost all parts of the Ads stack such as Budgeting, Targeting, Creatives, Ads Platform, Auctions to name a few and this enables us to take up Research projects that make the foundation for the next generation of Ad Tech.

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. Responsibilities:

Design and implement algorithms and apply them to real-world problems.

Leverage Machine Learning and Generative AI to optimize calibrations and recovery factors.

Develop full-stack backend software and implement sustainable, well-designed systems and data pipelines.

Collaborate with cross-functional teams, including engineers, product managers, and data scientists.

Drive Bidding and Ads systems design and implementation across partner teams.