Applied Scientist, Core Search

About the role

We build new experiences powered by Generative models and our new LLM-based AI stack, that provides personalized and multi-modal Natural Language interface to Amazon's billions of products for both hundreds of millions of retail customers as well as internal teams building AI experiences such as Rufus, Alexa+, Interests AI, and multiple confidential initiatives. Come join us on this journey!

Requirements

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience using Unix/Linux
• Experience in professional software development
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Additional Information

We are building the next generation of personalized shopping experiences at Amazon through deep understanding of hundreds of millions of customers, billions of products and intricate context. We set out to create a personal shopping partner that is knowledgeable, understands your preferences, and helps you find the right solution for your needs. Key job responsibilities As an Applied Scientist on the team, you will help lead science innovation across multiple teams. You will solve a breadth of problems, ranging from developing state of the art thinking-LLM-based techniques to reason about customers and products; creating semantic representations of products, customers, and context; developing cross-attentive LLM rankers ; training multi-objective ranking and optimization systems; deploying large scale real-time AI systems. You will build tech used by teams across Amazon, while also having a direct connection to hundreds of millions of customers using Amazon to shop. You will improves lives of customers through improvements on offline benchmarks as well as online experiments.

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