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.
Grow the YouTube Ads business by understanding user interest and recommend ads that are aligned with user interest. The YouTube Ads User Models are a suite of large-scale AI systems designed to model users commercial interests by leveraging Google-wide data sources approved for advertising purposes. Designed for multi-task learning across various surfaces, these models are applied to numerous downstream tasks, including retrieval, user action prediction, rich user generation, and knowledge distillation for training more compact models.
Work with a team of software engineers, ML engineers, and Data Scientists to understand long-term user interest from a source of information from across the company. Build a large recommendation system using LLMs, Sequence Modeling, GNNs, and other similar algorithms. Predict likelihood of user interest in a particular ad.
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.Job details are sourced from the employer's original posting.
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YouTube is an online video-sharing platform where users can upload, view, rate, share, add to playlists, report, comment on videos, and subscribe to other users.