Staff Software Engineer, ML Data Infrastructure

Job description

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 YouTube Discovery Data team is responsible for the data that powers personalized discovery at YouTube -- the YouTube homepage, watch page, and dozens of other surfaces that allow users to discover content on YouTube. Hundreds of engineers across YouTube use these data sources to train and serve more than a thousand ML models, including the use of LLMs for personalized discovery at YouTube scale. Some of our current products include YouTube watch history, discovery training data, discovery sessions, the YouTube user data dump.