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Senior Applied Scientist, Shopping Automatic Speech Recognition

Amazon.com Services LLC
Seattle, Washington, USA
$136K a year
Full-time

Our team's mission is to improve Shopping experience for customers interacting with Amazon devices via voice. We work with Alexa and multiple other teams to research and develop advanced state-of-the-art speech technologies.

Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products?

Then come join us and make history.

Key job responsibilities

We are looking for a passionate, talented, and inventive Senior Applied Scientist with a background in Machine Learning to help build industry-leading Speech and Language technology.

As a Senior Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to drive the state of the art in speech synthesis.

Position Responsibilities :

  • Participate in the design, development, evaluation, deployment and updating of data-driven models for Speech and Language applications.
  • Participate in research activities including the application and evaluation of Speech and Language techniques for novel applications.
  • Research and implement novel ML and statistical approaches to add value to the business.
  • Mentor junior engineers and scientists.

We are open to hiring candidates to work out of one of the following locations :

Seattle, WA, USA

BASIC QUALIFICATIONS

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of building machine learning models for business application experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
  • 30+ days ago
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