Software Engineer II, Search Science Data Infra

Benefits

Parental leave

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About this role

Software Engineer II, Search Science Data Infra Palo Alto, California, USA Amazon Search creates customer-focused product search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our systems go to work. We delight customers when we accurately understand their intent expressed via a natural language query and/or image, and reflect that understanding throughout the search page - from layout to the search results and navigation. We make shopping effortless by helping customers easily explore our vast selection, narrowing down a myriad of options to a manageable consideration set through a personalized experience while providing key information to make high confidence decisions with low post-purchase regret Search Science Data Infrastructure (SSDI) team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through federated Feature Store infrastructure. This platform provides the ML training data and real-time signals / embeddings for inferencing to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. Furthermore, 450+ teams across Amazon consume our datasets to power analytics and behavioral models. We are located in downtown Palo Alto, a short walk from numerous shops and restaurants, and right across from the Caltrain station. Key job responsibilities As an ML Engineer you will: Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems. Our products

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