Wholepage Optimization Software Engineer, Google Ads

Google•Mountain View, CA

8d•$147,000 - $210,000

About The Position

Google software engineers develop technologies used at massive scale and work on projects critical to Google's needs. In this role, you will manage project priorities, deadlines, and deliverables, and design, develop, test, deploy, maintain, and enhance software solutions. The team works at the intersection of user intent and monetization in Search. It uses machine learning and large language models to reimagine the commercial journey across Google Search and Lens, building improved ads experiences in partnership with teams across Ads, Search, and GDM. Google Ads applies machine learning and generative AI, including Gemini, to support its global business. The work affects users and advertisers through user protection, ad quality, and campaign return on investment, with close collaboration across teams including Google Research and DeepMind. The role focuses on applying state-of-the-art AI and machine learning, including LLMs and agentic AI, to optimization problems across search ads; improving ads experiences; automating engineering processes; building self-service tools and platform features for quality evaluation; and architecting scalable systems for deploying and serving models for data quality assessment.

Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience programming in Python or C++.
1 year of experience with end-to-end machine learning, such as model deployment, model evaluation, data processing, or debugging.
1 year of experience with one or more of the following: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.

Nice To Haves

Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Experience in Search/Ads or general quality systems.
Familiarity with the latest research and trends in AI/ML, particularly as applicable to data quality and assessment.
Expertise in full-stack engineering and app development.

Responsibilities

Leverage state-of-the-art AI/ML advancements, including LLMs and Agentic AI, to solve critical optimization 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 them using AI-driven automation.
Design, build, and maintain self-service tools and platform features that embed advanced AI/ML quality evaluation methods.
Architect scalable systems for deploying and serving AI/ML models specifically for data quality assessment tasks.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance software solutions.