AWS Polly is looking to advance the state of the art in Generative AI for speech synthesis, delivering expressive, high-fidelity speech across hundreds of languages and voices.
Requirements
- 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
- 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
Responsibilities
- Research and develop advanced deep learning techniques, with a focus on LLMs and transformer-based architectures, to push the boundaries of natural speech generation
- Design and experiment with novel speech generation systems that combine text, phonetics, and audio to produce lifelike, contextually appropriate speech
- Train models at scale and optimize for performance, latency, and quality to meet the rigorous standards of AWS production systems
- Work closely with other applied scientists, engineers, and product managers to translate research into customer-facing capabilities
- Partner with teams across AWS AI/ML to ensure Polly’s speech technology integrates seamlessly into broader generative AI experiences
- Communicate findings through technical papers, internal design documents, and presentations
- Influence the direction of both product development and future research initiatives at Amazon
Other
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Ability to distill complex models and experiments into actionable insights
- Strong communication skills to influence the direction of product development and future research initiatives
- Ability to work in a fast-moving and collaborative environment
- Commitment to diversity, equity, and inclusion in the workplace
