Applied Scientist

Job description

DESCRIPTION

How can we improve the customer experience by tailoring the information we have to provide a seamless shopping experience? How do we build different models leveraging algorithms that will help us innovate? What is the relationship between what the customer actually thinks vs. what is being suggested vs what they actually end up buying? How can we do all of this without disrupting the customer experience and also understand the customer without asking them? Does that sound fun and interesting? The solution or answers to these questions and others like them are fundamental in helping Amazon Softlines business, including customer experience, recommendations, and others.

Amazon Softlines is a growing multi-disciplinary team addressing everyday customer needs through a combination of software engineering, web development, hardware development, and applied research. For apparel and shoes (“softlines”), the convenience, selection, and price benefits of shopping online have yet to be fully realized. Today the online shopper's largest friction is evaluating fit and size, and other details. Our team's ultimate goal is for customers to easily discover items they will like and to get the right size on the first try: across the globe, on laptops and mobile, etc.

As an applied scientist, you will be using Amazon's large-scale computing resources to build models describing best suited recommendations and work with domain experts and engineers to turn those models into production solutions. 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 Amazon Softlines business. We are looking for passionate, hard-working, and talented Applied scientist who have experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Desired profile

BASIC QUALIFICATIONS

Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in natural language processing, or machine learning. Familiar with programming languages such as C/C++, Java, Perl or Python.