Principal Applied Scientist - Machine Learning Amazon
Seattle, WA

Job Description

Interested in using Terabytes of Data and Machine Learning?

At Amazon Advertising, we are developing state-of-the-art large-scale computational advertising and machine learning applications using terabytes of data. We are looking for talented machine learning scientists to build and optimize the prediction service for desired actions, that is heart of the ML systems for Advertising. In this role you will work with other machine learning scientists, software and data engineers, and product managers on high impact initiatives in Amazon's Multi Channel Advertising.

Amazon is well positioned to grow its share of a fast growing online advertising industry due to its unique assets - e-commerce data, service oriented architecture, and startup culture. Amazon is applying the latest machine learning and big data technologies available to change the way marketers purchase, track, measure, and optimize their advertising spend. We apply these technologies on terabytes of data (over 10B new events per day) and operate clusters that push scalability limits of the existing technologies. We seek to measure every possible signal indicating impact of advertising to provide the most objective result of marketing spends.

This role will involve designing and developing new ML and AI algorithms and feature sets that impact many areas of our business. The individual in this role will have responsibility help define requirements, create new feature sets and algorithms and implement them.

This role is available for Seattle or Palo Alto.