Applied Scientist II, Personalization

How can we improve the shopping experience on by tailoring what we display on our pages based on customer interests and preferences How do we use generative models to help us innovate in different ways to enhance the shopping experience How do we generate personalized content that helps customers shop at scale

Our teams stated missions is to grow each customers relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product program and content recommendations. Recommendations at Amazon is a way to help customers discover products. Our team strives to better understand how customers shop on Amazon (and elsewhere) and build models that streamline customers shopping experiences by showing the right products at the right time. Understanding the complexities of customers shopping needs and helping them explore the depth and breadth of Amazons catalog is a challenge we take on every day.

In this job you will work with other Applied Scientist and Machine Learning Engineers to build and train models in the Value and Savings space related to recommendation and ranking systems to help customers find new products that they havent thought of before but are excited to discover and try and help them save money on products that they are interested in.

Key job responsibilities
Using Amazons large-scale computing resources you will design and deploy state-of-the-art models that help customers shop on Amazon. You will ask research questions about customer behavior design state-of-the-art models that help customers shop and deploy these models to production. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML and generative AI. Your work will directly benefit customers and the retail business.



A day in the life
We are looking for a passionate hard-working and talented Applied Scientist who has experience developing state-of-the-art models and deploying them to production. You will have an opportunity to make an enormous impact on the design architecture and implementation of products used everyday by people you know.

- 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 in patents or publications at top-tier peer-reviewed conferences or journals
- 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

- Knowledge of standard speech and machine learning techniques

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 CA Irvine - 142800.00 - 193200.00 USD annually