Amazon Applied Scientist AWS Polly 

United Kingdom, England, Cambridge 

96995946

Key job responsibilities
You will be responsible for designing and experimenting with novel speech generation systems that combine text, phonetics, and audio to produce lifelike, contextually appropriate speech. Your models will be trained at scale and optimized for performance, latency, and quality to meet the rigorous standards of AWS production systems.Collaboration is core to the role: you’ll work closely with other applied scientists, engineers, and product managers to translate research into customer-facing capabilities. You’ll also partner with teams across AWS AI/ML, including those working on Bedrock, Alexa, and Amazon Connect, to ensure Polly’s speech technology integrates seamlessly into broader generative AI experiences.As a scientific leader, you will regularly communicate your findings through technical papers, internal design documents, and presentations. Your ability to distill complex models and experiments into actionable insights will influence the direction of both product development and future research initiatives at Amazon.
This role is ideal for scientists who want to work at the intersection of speech, language, and deep generative modeling, and who are excited by the challenge of bringing research to production at scale.

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application

- Experience using Unix/Linux
- Experience in professional software development