Senior Software Engineer, Discover Recommendations and AI Feed
$174k - $253kGoogle Inc.
Senior Software Engineer, Discover Recommendations and AI Feed Google, Mountain View, CA, USA Qualifications Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with building Deep Learning models with TensorFlow, PyTorch, or JAX. Experience building architecture. Preferred Qualifications Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. 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 handle information at massive scale, and extend well beyond web search. We are looking for engineers who bring fresh ideas from areas including information retrieval, distributed computing, large‑scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile. As a software engineer, you will work on a critical project for Google, with opportunities to switch teams and projects as you and the fast‑paced business grow and evolve. You will need to be versatile, demonstrate leadership, and be enthusiastic to tackle new problems across the full stack. Manage end‑to‑end modeling for the whole personalization flow, including retrieval, ranking, user understanding, and prediction for search notification. Work on state‑of‑the‑art modeling problems such as sequence‑based user understanding, real‑time training, and personalization with LLM empowerment. Responsibilities Write and test product or system development code. Innovate or adapt recommendation algorithms toward new applications and surfaces. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Experiment with novel signals, labels, architectures, policies and training regimens. Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design. US: $174,000 - $253,000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Google 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. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our job alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr Google Inc.
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