info_outline
X In most instances, this position requires in-person interviews as part of the hiring processNote: By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA; Mountain View, CA, USA.
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 jobThe 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.
