Applied Scientist II, Personalization, Grocery P13N

Our goal is to be Earths most customer-centric company where customers can find and discover anything they might want to buy online. With our years of experience creating delight by fulfilling products from electronics to everyday essentials our next challenge is offering customers fresh and delicious groceriesfrom seasonal fruits to your favorite cheeses. Our mission is to create the most intuitive and seamless grocery shopping experience by combining customer knowledge with LLM-based techniques that can deliver timely and relevant recommendations that make grocery shopping easy.

Are you passionate about applying cutting-edge machine learning to solve real-world customer problems Do you want to build models that impact hundreds of millions of customers globally This is a unique opportunity to innovate at the intersection of personalization science large language models and grocery shopping

As an Applied Scientist on the Grocery Personalization team you will develop novel machine learning models and features that transform how customers discover and purchase groceries. Youll work on problems ranging from LLM-based techniques for understanding customer preferences and product relationships transformer-based models for intent prediction to large-scale real-time ranking systems that personalize the entire grocery shopping journey.

Key job responsibilities
- Innovate new features and models that have huge impact on the customer experience. Help customers find the right grocery products and content throughout their journey.

- Leverage the use of advanced LLM-based techniques to create customer grocery shopping experience at Amazons scale - for all Amazon customers across all countries in realtime

- Be able to operate 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 for the team


About the team
Amazons Personalization organization is a small high-performing group that leverages Amazons expertise in machine learning big data and distributed systems to deliver the best shopping experiences for our customers. We work full stack from foundational backend systems to future-forward user interfaces. Our teams culture is centered on rapid prototyping rigorous experimentation and data-driven decision-making. We run hundreds of experiments each year and our work has revolutionized e-commerce with features such as Customers Who Bought Also Bought and Recommended for You. We care deeply about our customers as well as the well-being and growth of our team members. 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. This is a track record we are proud of and will continue to uphold. We are looking for creative and innovative leaders with a similar penchant for deeply-technical problem solving and the ability to lead mentor and deliver while upholding Amazons leadership principles.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually