Minimum Qualifications:PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science.10+ years of combined academic and research experience.Strong publication record in top-tier journals and conferences.Functional thought leader, sought after for key tech decisions.Experience developing software in traditional programming languages (C++, Java, Python, etc.).Excellent written and spoken communication skills.About the Role:As a Principal Applied Scientist, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions.You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across the organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends.Key Responsibilities:Defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.Developing long-term strategies, persuading teams to adopt those strategies, proposing goals and delivering on them.Participating in organizational planning, hiring, mentorship and leadership development.Serving as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).About the Team:We are the Shopping Discovery & Evaluation team, and our vision is to make Amazon the internet's most trustworthy, helpful, and delightful guide for customers on any shopping mission.From the moment customers visit our store, we help them find what they are looking for and delight in our vast offering of products and services.10+ years of experience building and deploying innovative machine learning solutions at scale. Expert level skills across many Machine Learning methodologies.
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