Job summary
Do you want to work on some of the most innovative Text-to-Speech technology in the industry? Well, you’ve come to the right place.

We are looking for a passionate, talented, and inventive Applied Scientist with a strong background in Machine/Deep Learning and Software Development to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers. Your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our synthetic voices used by millions of customers every day.

Key job responsibilities
As an Applied Scientist on our team you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in speech synthesis. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to build Machine Learning models for their application in speech synthesis.

This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.

The ideal candidate will have experience with machine learning models and their application in AI systems. We are particularly interested in experience applying natural language processing, deep learning, and speech generation at scale. Additionally, we are seeking candidates with strong interest in applied sciences and engineering, creativity, curiosity, and great judgment.


A day in the life
No two days are the same as a Applied Scientist in TTS Research!

You will be working in a dynamic, fast-moving environment. You’ll be developing new Deep learning models to improve the quality of our speech models, running experiments and writing papers and patents or making prototype solutions production ready.


About the team
This role sits with TTS, and the goal of the team is to create natural, friendly and emotional voices for Alexa.

BASIC QUALIFICATIONS

· Graduate degree (PhD or equivalent Master's) in fields such as Machine Learning, Deep Learning, TTS, ASR, NLU or Statistical modelling.
· Familiarity with programming languages such as Python, C/C++.

PREFERRED QUALIFICATIONS

· PhD with specialization in text-to-speech, natural language processing, or machine learning
· Two years of industry experience in applied research projects
· Extensive hands-on experience in deep learning and speech synthesis
· Experience with end-to-end agile software development
· Ability to communicate complex technical concepts and solutions to all levels of the organization
· Strong publication record


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.

All offers are conditional on references, verification of the right to work in the UK, and successful background screening check. This will include previous employment verification, qualification verification (if relevant) and a relevant criminal check.