Sr. Applied Scientist

How can we improve the customer experience by tailoring what we display on our pages based on available data How do we build models that help us innovate in different ways to enhance customer experience What is the relationship between what customers do on the site vs. what they actually buy How do we do all of this without asking the customer a single question

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 recommendations models to streamline customers shopping experience 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.

Using Amazons large-scale computing resources you will ask research questions about customer behavior build state-of-the-art models to generate recommendations and run these models directly on the retail website. 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. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. We are looking for a passionate hard-working and talented Applied Scientist who has experience building mission critical high volume applications that customers love. You will have an opportunity to make an enormous impact on the design architecture and implementation of cutting edge products used everyday by people you know.

- 4 years of building machine learning models for business application experience
- PhD or Masters degree and 4 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience in building machine learning models for business application
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

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 - 167100.00 - 226100.00 USD annually