As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the “state-of-the-art” 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 Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated speech.
Alexa Amazon’s ground-breaking cloud service that powers devices such as Echo and FireTV. We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to join us in beautiful Cambridge, UK, to help build industry-leading Speech and Language technology. Our mission is to push the envelope in computer generated speech, computer generated characterisation and “Vactor” performance, in order to provide the best-possible experience for our customers.
Research and implement novel ML and statistical approaches which add value to Amazon
Lead and Mentor junior engineers and scientists
Participate in the design, development, evaluation, deployment and updating of data-driven 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
Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences or a related discipline with specialization in speech synthesis, recognition, natural language processing, or machine learning.
Familiarity with programming languages such as C/C++, Python, Java or Perl.
Experience in building speech, natural language processing and/or machine learning systems (e.g. commercial products or government speech projects)
Solid Machine Learning background and familiar with standard speech and machine learning techniques.
Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Solid software development experience
Good written and spoken communication skills.
How to apply:
Please mention NLP People as a source when applying
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