Senior Software Engineer, YouTube Ads Marketplace Optimization

Google•Mountain View, CA
•$174,000 - $252,000

About The Position

Google’s software engineers develop next-generation technologies used by billions of people. In this role, you will work on a project critical to Google’s needs and help build technology for the YouTube Ads business. The team models users’ commercial interests using Google-wide data sources approved for advertising purposes. These large-scale AI systems support multiple downstream tasks, including ad retrieval, user action prediction, rich user generation, and knowledge distillation for compact models. You will collaborate with software engineers, ML engineers, and data scientists to understand long-term user interests and build recommendation systems using LLMs, sequence modeling, graph neural networks, and related algorithms. The work includes predicting users’ likelihood of interest in ads and optimizing the YouTube Ads marketplace. Google Ads applies machine learning and generative AI to its global advertising business, with work focused on user protection, ad quality, and advertiser return on investment. The role also involves close collaboration with teams such as Google Research and DeepMind.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience with end-to-end machine learning, such as model deployment, model evaluation, data processing, and debugging.
  • Experience designing and operating distributed computing systems for large-scale AI/ML workloads.
  • Experience applying machine learning techniques to build predictive models.
  • Experience building and deploying recommendation-system models in production, such as retrieval, prediction, ranking, personalization, search quality, or embeddings.

Nice To Haves

  • Master’s degree or PhD in Computer Science or a related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience with graph algorithms and graph mining.
  • Experience applying analytical reasoning to software engineering problems.
  • Experience developing accessible technologies.
  • Experience with ads experimentation and analysis.

Responsibilities

  • Apply AI, machine learning, and LLMs to optimize the YouTube Ads marketplace.
  • Develop sequence- and graph-based AI models to improve ads optimization.
  • Develop distributed data-processing pipelines for large-scale ads data.
  • Develop and connect serving components within the ad stack.
  • Analyze and optimize the YouTube Ads ecosystem and serving stack.

Benefits

  • 15% bonus target
  • Equity
  • Benefits (details available through Google’s benefits information)
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service