Machine Learning Scientist, Deep Learning, Alexa TTS

Job summary
We are looking for a passionate, talented, and inventive Machine Learning Scientist 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.

Key job responsibilities
Position Responsibilities:
· Participate in the design, development, evaluation, deployment and updating of data-driven models for text-to-speech applications.
· Participate in research activities including the application and evaluation of text-to-speech techniques for novel applications.
· Research and implement novel ML and statistical approaches to add value to the business.
· Mentor junior engineers and scientists.

A day in the life
As a ML Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to advance the state of the art in speech synthesis.

About the team
Our team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies and scale it to our whole portfolio of voices and languages.

We are at the heart of making sure all our customers, in all languages or locations, get the same ground-breaking experience.

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, Java or C/C++.

Preferred Qualifications

· PhD with specialization in text-to-speech, natural language processing, or machine learning.
· Experience in developing speech synthesis and natural language processing models (e.g., commercial speech products or government speech projects).
· Scientific thinking and the ability to invent, with a track record of peer-reviewed publications.
· Hands on experience with machine learning frameworks such as MXNet, TensorFlow, or PyTorch.
· Good written and spoken communication skills.



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.