Software Engineer, YouTube Ads Machine Learning Infrastructure

Job description

info_outline 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. YouTube Ads is a business and one of the fastest growing businesses at Google.

The YouTube Ads ML Infra team empowers YouTube Ads ML advancement with the following goals: Signals: Enable model quality improvements and top-line revenue growth by developing and integrating novel signals for LEM+LLM training and serving.

Efficiency

Improve resource efficiency across the fleet, targeting substantial cost savings, maximizing resource utilization with streamlined operations, early planning and provisioning, and accelerating the adoption of the latest, most efficient AdsML infrastructure.

Automation

Improve developer velocity, reduce operational toil by investing in intelligent automation, agentic tooling, and streamlined development workflows.