Senior Software Engineer, Machine Learning, Discover Interest Modeling and RetrievalGoogle'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.Discover is Google's personalized interest feed. With hundreds of millions of daily active users, it is one of the largest feed recommendation products in the world.
In this role, the profile captures each person's long-term interests, favorite creators and in-the-moment intent. As these models drive hundreds of billions of recommendations a day, among the most important personalization signals in downstream ranking, and feed personalization across Google. Every Discover feed starts with us, from a constantly refreshing corpus of millions of articles, videos, creator posts and AI-generated content, our retrieval and pre-ranking stack selects the few thousand candidates most relevant to each person, in milliseconds, at hundreds of millions of feeds a day.Responsibilities:Write and test product or system development code.Develop representation learning models, including embedding or encoder models trained with contrastive, supervised, or self-supervised (e.g., masked-prediction) objectives, and set or sequence encoders (attention pooling, Transformers).Execute clustering or metric learning at scale (e.g., hierarchical/agglomerative, density-based), and assess cluster quality.Utilize Large Language Model (LLMs) in ML systems (e.g., LLM embeddings, autoraters for evaluation) and distill LLM judgments into classifiers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $ - $ (USD) + 15% bonus target + equity + benefitsGoogle is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Senior Software Engineer, Machine Learning, Discover Interest Modeling and Retrieval in mountain view at Unknown Company
This position is listed as full time and onsite.