Applied Scientist, AWS Polly
Applied Scientist, AWS Polly
Posted on :
07-06-2025
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1 Vacancy
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Job Description
AWS Polly is looking for a passionate talented and inventive Applied Scientist with a strong deep learning background to help advance the state of the art in Generative AI for speech synthesis. Polly powers natural-sounding Text-to-Speech (TTS) voices at scale and is evolving into a platform that leverages Large Language Models (LLMs) and multimodal architectures to deliver expressive high-fidelity speech across hundreds of languages and voices.
Key job responsibilities
As an Applied Scientist on AWS Polly team you will be part of a fast-moving and collaborative environment where scientific innovation meets customer impact. You will research and develop advanced deep learning techniques with a focus on LLMs and transformer-based architectures to push the boundaries of natural speech generation. Your work will span areas such as prosody modeling speech style transfer multilingual synthesis and controllable voice cloning leveraging Amazons vast compute infrastructure and rich multimodal datasets.
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: youll work closely with other applied scientists engineers and product managers to translate research into customer-facing capabilities. Youll also partner with teams across AWS AI/ML including those working on Bedrock Alexa and Amazon Connect to ensure Pollys 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.
About the team
AWS Polly is Amazons cloud-based text-to-speech service. We deliver lifelike voices and scalable APIs to customers around the world. The Polly science team builds next-generation speech generation models using LLMs and multilingual training pipelines. We are part of AWS driving innovation in multimodal generative AI.
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 Masters 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
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 ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
As an Applied Scientist on AWS Polly team you will be part of a fast-moving and collaborative environment where scientific innovation meets customer impact. You will research and develop advanced deep learning techniques with a focus on LLMs and transformer-based architectures to push the boundaries of natural speech generation. Your work will span areas such as prosody modeling speech style transfer multilingual synthesis and controllable voice cloning leveraging Amazons vast compute infrastructure and rich multimodal datasets.
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: youll work closely with other applied scientists engineers and product managers to translate research into customer-facing capabilities. Youll also partner with teams across AWS AI/ML including those working on Bedrock Alexa and Amazon Connect to ensure Pollys 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.
About the team
AWS Polly is Amazons cloud-based text-to-speech service. We deliver lifelike voices and scalable APIs to customers around the world. The Polly science team builds next-generation speech generation models using LLMs and multilingual training pipelines. We are part of AWS driving innovation in multimodal generative AI.
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 Masters 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
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 ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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