Senior Applied Researcher

4 days ago


London, Greater London, United Kingdom Amazon Full time
Job Overview

We are seeking a highly skilled Senior Applied Scientist to join our team at Amazon.

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

Responsibilities

— Participate in the design, development, evaluation, deployment and updating of data-driven models for digital vocal arts applications.

— Participate in research activities including the application and evaluation of digital vocal and video arts techniques for novel applications.

— Research and implement novel ML and statistical approaches to add value to the business.

— Mentor junior engineers and scientists.

Our team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies. We not only work on giving Alexa, the ground-breaking service that powers Echo, her voice, but we also develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video.

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

Requirements
  1. Experience with neural deep learning methods and machine learning.
  2. Experience programming in Java, C++, Python, or related languages.
  3. Master's degree.
  4. Experience in building machine learning models for business applications.
  5. Experience in applied research.
  6. Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Preferred Qualifications
  1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
  2. Experience with large scale distributed systems such as Hadoop, Spark, etc.
  3. Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills.

We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.



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