We are building the next generation of personalized shopping experiences at Amazon through deep understanding of our customers intent and our product catalog. We aim to create an experience akin to that of a talented personal shopping assistant a partner that is knowledgeable understands your preferences and helps you find the right solution for your needs.
As a Principal Applied Scientist on the team you will help lead science innovation in our space across a large multidisciplinary team. You will have a breadth of problems to work on ranging from developing state of the art LLM-based techniques to reason about customers and products developing deep learned transformer-based models to understand and abstract customer intent signals and representations building large-scale real-time multi-task ranking systems and more. You will build technology employed by teams across the company while also having a direct connection to millions of customers through our own customer facing features every day. Come join us in the journey!
Key job responsibilities
* Innovate new features and models that have huge impact on the customer experience. Help customers find the right products and content on their shopping journey. Leverage the use of advanced machine learning to create customer shopping experience at Amazons scale - for all Amazon customers across all countries in realtime
* Be a key leader on a multidisciplinary team across science product design and engineering to see through ideas from inception prototype to launch in the hands of all Amazons customers
* Drive the science roadmap across multiple teams helping coordinate a cohesive science agenda across the org.
* Mentoring applied scientists across the org growing their skills and careers.
About the team
Our mission is to delight every Amazon customer with a personalized shopping experience tailed to their intent. We achieve our mission through investments in UX Science and Systems with the purpose of delivering the future of shopping on Amazon. We are seeking a Principal Applied Scientist to lead the science charter across the recommendations and intent identification space.
About our organization:
Our team is part of Amazons Personalization organization a high-performing group that leverages Amazons expertise in machine learning big data distributed systems and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as Keep shopping for ... Customers who bought this item also bought and Frequently bought together. Amazons internal surveys regularly recognize us as one of the best engineering organizations to work for in the company with visible high-impact work low operational load respectful work-life balance and continual opportunity to learn and grow.
- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions dealing with ambiguity and competing objectives
- Experience creating novel algorithms and advancing the state of the art
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179000/year in our lowest geographic market up to $309400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.