.Principal Applied Scientist, Shopping Discovery & Evaluation 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.
You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.
Key Job Responsibilities: Define key research directions, adopting or inventing new machine learning techniques.
Conduct rigorous experiments and publish results.
Ensure that research is translated into practice.
Develop long-term strategies and persuade teams to adopt those strategies.
Propose goals and deliver on them.
Participate in organizational planning, hiring, mentorship, and leadership development.
Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing, 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.
We create immersive, visual, and personalized shopping experiences that inspire customers to kickstart their next shopping journey.
We bring together trusted, authentic inputs from the community and surface those inputs with the help of generative AI to help customers confidently inform their next purchase.
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