Amazon.com
Senior Applied Scientist, Amazon
Job Description
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:
London, GBR
Basic Qualifications
– Master’s degree, or PhD
– Experience programming in Java, C++, Python or related language
– Experience with neural deep learning methods and machine learning
– Experience in building machine learning models for business application
– Experience in applied research
– Graduate degree (PhD or equivalent Master’s) in fields such as Machine Learning, Deep Learning, Audio processing, TTS, ASR, NLU or Statistical modelling.
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.
– Extensive experience in developing audio processing, speech synthesis and natural language processing models (e.g., commercial speech products or government speech projects)
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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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