Hiring: Applied Scientist, Perfect Order Experience (POE) Company: Amazon Location: Seattle, WA Job Posted Time: 2026-09-16 18:01:49 Target Skills & Keywords : C++, Deep Learning, Java, Large Language Model, Make, Python About the job Experience: •3+ years of building models for business application experience •4+ years of science, technology, engineering or related field experience Required Skills: •We’re pioneering frontier science solutions to detect and treat product quality issues and enhance post-order experience in Amazon. Our goal is to enhance support for our diverse seller community and foster improved outcomes for both sellers and consumers for broader Amazon ecosystem. We are looking for passionate innovators who are excited about technology, driven by customer experience, and eager to make a lasting impact on the industry. •In this role, you'll collaborate with top-tier scientists, engineers, and technical program managers (TPMs) to drive innovation in GenAI foundation models, adapt Large language model to our domain, develop efficient tabular foundation model, innovate on behavior foundation model. You will lead the effort to leverage Amazon's large-scale computing resources to accelerate advances in GenAI and frontier ML solutions. If you’re enthusiastic about joining a dynamic and motivated team, this is your chance to be part of an exciting journey. Apply now and help us shape the future of seller support at Amazon! •Key job responsibilities •Develop domain-specific foundation models. •Work with business and engineers to develop and deploy the solutions. Qualifications: •3+ years of building models for business application experience •PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience •Experience in patents or publications at top-tier peer-reviewed conferences or journals •Experience programming in Java, C++, Python or related language •Experience applying theoretical models in an applied environment •Preferred Qualifications •Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!