Do you want to join the team working on the bleeding edge technology? Have you ever wondered how we can give voice to the devices? Or join the team developing GenAI models? Our team is working on all of the above, join us to see yourself. Text-to-Speech on Device team is responsible for development AI based voice models working locally on the devices. This require specific mix of skills between devices integration, voice generation technologies and machine learning. We are delivering solutions for multiple customers, including offline solutions for Alexa, automotive customers and accessibility voices for visually impaired users. All our models are integrated for devices and working with limited hardware resources.
Key job responsibilities
We are looking for a Software Development Engineer with experience in embedded systems and/or using Machine Learning technologies for speech generation.
Responsibilities include:
- Work with the team on end-to-end development of an ML models for speech generation.
- Work with the team on integration of ML speech generation models with embedded systems (Amazon owned and 3rd party).
- Collaborate with science teams to bring state-of-the-art TTS models from research into production.
- Work with new technologies including AWS services.
- Constantly learn new things (our solutions are complex and very interesting).
- Collaborate with other Amazon teams to build solutions that create value for them and their customers.
- Solve difficult problems with clean and practical code.
- Design, build and deploy scalable and robust systems and tools.
About the team
TTS on Device team is focused on delivery of low-footprint AI models for speech generation that can work locally on devices (Android, FireOS, etc.). These models require much less computation power then the ones hosted in cloud. We are cooperating directly with the teams developing devices and with scientists in order to provide our customers best possible experience.
Key job responsibilities
We are looking for a Software Development Engineer with experience in embedded systems and/or using Machine Learning technologies for speech generation.
Responsibilities include:
- Work with the team on end-to-end development of an ML models for speech generation.
- Work with the team on integration of ML speech generation models with embedded systems (Amazon owned and 3rd party).
- Collaborate with science teams to bring state-of-the-art TTS models from research into production.
- Work with new technologies including AWS services.
- Constantly learn new things (our solutions are complex and very interesting).
- Collaborate with other Amazon teams to build solutions that create value for them and their customers.
- Solve difficult problems with clean and practical code.
- Design, build and deploy scalable and robust systems and tools.
About the team
TTS on Device team is focused on delivery of low-footprint AI models for speech generation that can work locally on devices (Android, FireOS, etc.). These models require much less computation power then the ones hosted in cloud. We are cooperating directly with the teams developing devices and with scientists in order to provide our customers best possible experience.