Applied Scientist

Job description

DESCRIPTION

Do you want to be part of the team that is reshaping the Amazon marketplace? Do you want to help provide better Seller guidance and improve customer experience across Amazon's fulfillment programs? Are you interested in applying your background in state-of-the-art Machine Learning techniques across a range of problems covering product recommendations, product defect guidance leveraging structured, text and images? If you answered yes to all of these questions, this might be the opportunity for you!
The vision for Amazon Global Fulfillment Services (AGFS) is to transform global commerce by enabling Sellers from all over the world to build global direct-to-consumer businesses. These capabilities, combined with Prime Customer demand and Seller growth, have enabled a rush of selection worldwide as entrepreneurs and manufacturers are disintermediating distributors and resellers, and changing the way products are developed, marketed, and sold

As an applied scientist in the Amazon Global Selling team, you will be responsible for applying your knowledge & experience to large-scale problems, work with engineers and product managers to deliver your models in a production setting, and connect with other scientists across the company to collaborate and share your findings.

Desired profile

BASIC QUALIFICATIONS

· PhD or MS in Computer Science (CS), Machine Learning (ML), or related technical field.
· Familiarity with Python, and frameworks like keras or gluon/mxnet.
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· Experience working with large customer data sets.

· 3+ years of experience
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.