About the job
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.
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.
Qualifications
Minimum
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
Preferred
Experience using Unix/Linux
Experience in professional software development