DESCRIPTION
Job summary
Our team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies. We not only work on giving Alexa, the ground-breaking service that powers Echo, her voice, but we also develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.
We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning 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.
As an Applied 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.
Key job 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.
A day in the life
As a scientist in the Amazon TTS team you will be in charge of solving real customer problems, and for that you will need to innovate and think outside of the box.
A normal day will begin with a quick catch-up with the rest of your project mates to make sure nobody is facing any issues, but then it will depend on your goals.
Some days you will be focusing on your experimentation and research, trying to develop the next generation of Text-to-Speech models, and other days you will be involved in brainstormings and technical discussions with your team or other teams to contribute to the technical plans of a project for the upcoming months.
BASIC QUALIFICATIONS
- Master's degree 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.
- 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.