SoftwareDevelopmentEngineer,AmazonCoreSearch

Do you want to be part of a team at Amazon that is making history? Do you want to build technology and new science that millions of people will use? Are you excited about working on large language models, Semantic Matching, large scale Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL)? We in Amazon search are on a multi-year journey to rethink the shopping experience on Amazon starting with a solid understanding of the customer’s shopping mission based on their search query and using that to present products that they will like, view, and purchase. We are challenging the established idea that a list of results is the best experience when customers are looking to shop for the right product and that we should be designing shopping pages rather than search pages. But all that begins with a deep and accurate understanding of the query and very high precision matches of the query to products in the catalog. And we believe that the latest advances in language models and deep learning technology can help us realize our team’s long-term vision of making shopping effortless on Amazon. We are looking for a Software Development Engineer to work on improving Amazon Search using LLMs, NLP, ML, and DL technology. This is a highly visible role with a huge impact on Amazon customers and business. As a part of this role, you will be working closely with scientists to develop high throughput and low latency solutions. For example, your system should complete a matching of Query and Product task with multiple attributes in a few milliseconds and do it for millions of queries every day. This is a unique opportunity to learn about high performance DL solutions should be built to serve the huge scale of queries that Amazon search sees world-wide. This is a position in Search Autocomplete Engineering team in Bangalore. We are moving fast to change the way Amazon search works. As an Software Development Engineer, you will help tackle a variety of technical ch