We are the TexttoSpeech Research team and our goal is to improve the core technology to improve Alexas voice and make it more humanlike and expressive.
We are looking for a passionate talented and inventive Scientist with a strong background in Machine/Deep Learning to join us in beautiful Cambridge UK. Our mission is to push the envelope in computergenerated speech in order to provide the bestpossible experience for our customers
As an applied scientist you will work with talented peers to develop novel algorithms and modelling techniques to advance the stateoftheart in spoken language generation. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazons heterogeneous data sources and largescale computing resources to accelerate advances in computer generated speech.
Position Responsibilities: Research and implement novel Machine/Deep Learning approaches which add value to Amazon Lead and Mentor junior engineers and scientists Participate in the design development evaluation deployment and updating of datadriven models and analytical solutions for spoken language applications Develop and/or apply statistical modelling methods (e.g. deep neural networks) optimizations and other ML techniques to different applications in spoken language engineering
PhD or a Masters degree and experience in CS CE ML or related field Experience in patents or publications at toptier peerreviewed conferences or journals Experience programming in Java C Python or related language Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing Experience in building machine learning models for business application
Experience using Unix/Linux Experience in professional software development
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. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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