Research Scientist – Amazon Voice Shopping

US-WA-Seattle
3 months ago
Job ID
558564

Job Description

Seeking Researcher Scientist to build the future of the Voice Shopping Experience at Amazon. At Amazon Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their smart devices such as Echo, Fire TV, and beyond. Our services allow you to shop, anywhere, easily without interrupting what you’re doing – to go from “I want” to “It’s on the way” in a matter of seconds. We are seeking the industry's best applied scientists to help us create new ways to shop. Join us, and help invent the future of everyday life. The products you would envision and craft require ambitious thinking and a tireless focus on inventing solution to solve customer problems. You must be passionate about creating algorithms and models that can scale to hundreds of millions of customers, and insanely curious about building new technology and unlocking its potential.

Amazon Alexa Shopping is looking for a Research Scientist who will partner with technology and business leaders to build new state-of-the-art algorithms, models and services that surprise and delight our voice customers. As part of the new Applied Voice Research team you will use ML techniques such as deep learning to create and put into production models that deliver personalized shopping recommendations, allow to answer customer questions and enable human-like dialogs with our devices.



Basic Qualifications

  • PhD in Robotics, Computer Science, Machine Learning, or similar
  • Expertize on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametrics methods.
  • At least three years of academic research or industry experience in developing relevant algorithms
  • Scientific mindset and the ability to invent, a track record of thought leadership and contributions that have advanced the field
  • Excellent creative problem solving skills
  • Experience with programming languages such as C++, Java, Python

Preferred Qualifications

  • Superior communication and data presentation skills
  • Demonstrated ability to lead research projects and identify fruitful research directions
  • Demonstrated ability to work on cross-functional teams
  • Experience writing production or library code
  • Experience with ROS and/or LCM
  • Experience with visualization libraries such as PCL, OpenCV
  • Development on Linux
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