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:
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals, and deliver on them. You will also participate in organizational planning, hiring, mentorship, and leadership development. You will be technically fearless and have a passion for building scalable science and engineering solutions. You will 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 (Navigation Experience). We create immersive, visual, and personalized shopping experiences that inspire customers to kickstart their next shopping journey (Inspire, Amazon Native Player). 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 (Community Feedback).
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.
Can successfully sell ideas to an executive level decision maker.
Mentors and trains the research scientist community on complex technical issues.
Experience developing software in traditional programming languages (C++, Java, Python, etc.).
Excellent written and spoken communication skills.
Preferred Qualifications:
10+ years of experience building and deploying innovative machine learning solutions at scale. Expert level skills across many Machine Learning methodologies.
Published research work in academic conferences or industry circles. Experience delivering complex end-to-end global ML solutions that run at very large scale.
Experience working with real-world data sets and building scalable models from big data.
Thinks strategically, but stays on top of tactical execution.
Exhibits excellent business judgment; balances business, product, and technology very well.
This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments.
With a strong bias for action, this individual will work equally well with science, engineering, economics, and business teams.
This person will have very sound judgment and be able to recruit and groom high caliber talent.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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