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Develop and maintain Speechify's native Windows desktop app using WinUI, C#, and XAML, ensuring accessibility, performance, and cross-version compatibility for Windows 10/11 users.
Build and maintain Speechify's native Windows desktop app using WinUI, C#, and XAML, ensuring accessibility and performance across Windows 10/11.
Build and maintain Speechify's native Windows desktop app using WinUI, C#, and XAML, ensuring high performance, accessibility, and cross-version compatibility for millions of users.
Develop and maintain Speechify's native Windows desktop app using WinUI, C#, and XAML, ensuring accessibility and cross-version compatibility while collaborating with cross-functional teams.
Builds and maintains Speechify's native Windows desktop app using WinUI, C#, and XAML, ensuring accessibility and performance across Windows 10/11.
Build and maintain Speechify's native Windows desktop app using WinUI, C#, and XAML, ensuring accessibility, performance, and cross-version compatibility for millions of users.
Builds and maintains Speechify's native Windows desktop app using WinUI, C#, and XAML, ensuring accessibility, performance, and cross-version compatibility for millions of users.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio data for AI model training, using GCP, Terraform, and Python on Speechify’s text-to-speech platform.
Builds and scales Speechify’s data ingestion pipeline to collect petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on a fully distributed team.
Builds and scales data pipelines to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on a distributed team.
Build and scale Speechify’s data ingestion pipeline to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Builds and scales Speechify’s petabyte-scale data pipelines for AI model training, integrating cloud infrastructure, web crawlers, and Python tooling on GCP.
Builds and scales Speechify’s petabyte-scale audio data pipeline, integrating web crawlers, cloud infrastructure, and AI research to fuel next-generation text-to-speech models.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on Speechify’s text-to-speech platform.
Builds and scales Speechify’s petabyte-scale data pipeline for AI model training, integrating cloud infrastructure, web crawlers, and Python tooling on GCP.
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