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Sr. Applied Scientist – Amazon Voice Shopping

Sr. Applied Scientist – Amazon Voice Shopping

Job ID 
Posted Date 
Amazon Corporate LLC
Position Category 
Machine Learning Science
Recruiting Team 
North American Teams - Consumer - Sellers Plus

Job Description

Seeking Applied Researchers to build the future of the Alexa Shopping Experience at Amazon. At 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.

the Alexa Shopping team is seeking an Applied 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 Alexa Shopping 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

The ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, Economics, or a related quantitative field, and have the following qualifications:
  • Strong algorithm development experience in both supervised and unsupervised machine learning.
  • Demonstrated ability to implement different techniques in predictive analytics, forecasting, and modeling and measurement.
  • Knowledge of a scripting language such as Python, and related numerical computation and ML packages such as NumPy, Theano, or Keras.
  • Proficiency in querying SQL databases, data pre-processing and bash-scripting.
  • Passion for learning and implementing new technologies.

Preferred Qualifications

  • 2+ years of relevant work experience.
  • Experience with Deep Learning ANN and/or Bayesian Methods (Parametric and Non-Parametric).
  • Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.