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Machine Learning Scientist - Smart Home

Machine Learning Scientist - Smart Home

Job ID 
Posted Date 
Amazon Corporate LLC
Position Category 
Machine Learning Science
Recruiting Team 

Job Description

The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment, we are evolving Alexa into intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected.

You will be part of a team delivering features that are highly anticipated by media and well received by our customers. Here are a few links that highlight working with Alexa.

As a Machine Learning Scientist, you will work with software developers to design and implement algorithms and predictive models for how customers use and interact with smart devices in their homes. You will help lay the foundation to move from directed device interactions to learned behaviors that enable Alexa to pro-actively take action on behalf of the customer. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Like the world of smart phones less than 10 years ago, this is a rare opportunity to have a giant impact on the way people live.

Basic Qualifications

  • Masters or PhD in Computer Science, Machine Learning, Statistics or a related quantitative field.
  • 2+ years of hands-on experience in applied machine learning, and predictive modeling and analysis.
  • Fluency in one or more modern programming languages such as Java, C# or C++.

Preferred Qualifications

  • Experience in using R, Matlab, or any other statistical software
  • Experience building solutions for home networks, IoT device and cloud systems, or home/industrial control systems.

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