Machine Learning Internship - Text-to-Speech Research

Job description

DESCRIPTION

The Alexa Speech team in Cambridge develops new machine learning methods to improve naturalness and expressivity of speech synthesis. We collaborate closely with other science, engineering and product teams in Amazon to create new voices and speaking styles for Alexa and Polly, our AWS service for text-to-speech. Particular research areas include natural language processing, deep generative neural networks, variational auto-encoders and natural language generation.

We are recruiting curious and creative machine learning science interns who are looking to learn new skills and who are exited to collaborate with scientists and engineers to implement new scientific ideas.

The internship will involve experimenting with and implementing cutting-edge machine learning techniques to speech related technical challenges. Using state-of-the-art language models from NLP to capture a sophisticated representation of the meaning contained within text to improve expressivity of speech or generate richer text representations are especially relevant.

Desired profile

BASIC QUALIFICATIONS

· Current enrollment in a degree-granting college or university working towards a PhD in Machine Learning, Natural Language Processing, Applied Mathematics, Computer Science or a related field
· At least one refereed academic publications in these areas
· Good coding skills. Experience in Python is a plus
· Good communication skills and the ability of working in a team