Applied Scientist - Text to Speech (m/f) - Amazon - Cambridge - Wizbii

Applied Scientist - Text to Speech (m/f)

  • By Amazon
  • Cambridge (United Kingdom)
  • Software development

Job description


Location: Cambridge, UK
Compensation: Competitive Salary and benefits package
Posting Date: 04th July 2018
Closing Date: 1st August 2018

Interested in Amazon Alexa? We're building the speech and language solutions behind Amazon Echo and other Amazon products and services. Come join us!

Amazon TTS team researches, develops and delivers cutting edge multi-language Text to Speech technology, leading in voice quality, accuracy and ease of use.

Our goal is to continue to build a Text-to-Speech (TTS) system that takes the user experience to the next level. The challenges we face is handling whole variety of data which need to be pronounced correctly (such as names, surnames, proper names, foreign words), as well as finding correlation of end-user ratings and internal TTS quality metrics. This requires an engineer approach to improve the basis of huge amount of synthesized texts and semantic knowledge of the text to improve pronunciation of context specific words.

As part of our development team you will be responsible for research in speech synthesis, providing analysis using mathematical modeling tools to answer important questions, designing system architectures, utilizing code (C/C++, Perl or Java) and existing tools for modeling or prototyping, effective communication with management as well as with colleagues from computer science and business backgrounds. You will be involved in projects from concept to deployment, working closely with our core technology team, taking part in the complete project lifecycle.

Seeked profile


· MSc. or PhD degree in Computer Sciences, Machine Learning, or related technical field.
· Proven track record of achievements in language research and development for Text-To-Speech, Automatic Speech Recognition or Natural Language processing
· Professional experience in software development.
· Knowledge of C/C++
· Proficiency in at least one scripting languages (Perl, Python, Hadoop, Hive, etc)
· Strong fundamentals in problem solving, algorithm design and complexity analysis.
· Fundamentals in object-oriented design and data structures.
· Strong personal interest in learning, researching, and creating new technologies with high commercial impact.
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