Deep Learning Scientist, TTS Research

We are the Text-to-Speech Research team and our goal is to improve the core AI technology to improve voice generation and make it more human-like and expressive.

We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us in Cambridge (UK) or London. Our mission is to push the envelope in computer-generated speech in order to provide the best-possible experience for our customers

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.

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 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

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

Cambridge, GBR

Basic Qualifications

- Experience building machine learning models or developing algorithms for business application
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Knowledge of core undergraduate curriculum of computer science
- Have publications at top-tier peer-reviewed conferences or journals

Preferred Qualifications

- Knowledge of programming languages such as C/C++, Python, Java or Perl

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