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Build and maintain Speechify’s native Windows desktop app using WinUI, C#, XAML, and C++. Own architecture, performance, and accessibility for millions of users.
Build and lead the native Windows desktop app using WinUI, C#, XAML, and C++ to deliver a fast, accessible text-to-speech experience for millions of users.
Build and lead the native Windows desktop app using WinUI, C#, and C++ to deliver a fast, accessible text-to-speech experience for millions of users.
Build and own Speechify’s native Windows desktop app using WinUI, C#, XAML, and C++ to deliver fast, accessible text-to-speech for millions of users.
Build and lead the native Windows desktop app using WinUI, C#, XAML, and C++ to deliver accessible, high-performance text-to-speech software for millions of users.
Build and lead the native Windows desktop app using WinUI, C#, XAML, and C++ to deliver fast, accessible text-to-speech for millions of users.
Build and maintain Speechify’s native Windows desktop app using WinUI, C#, and C++; focus on performance, accessibility, and cross-version Windows compatibility.
Build and lead Speechify’s native Windows desktop app using WinUI, C#, XAML, and C++ to deliver accessible, high-performance text-to-speech software for millions of users.
Build and scale Speechify’s data infrastructure to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for training AI text-to-speech models using GCP, Terraform, and Python.
Build and scale Speechify’s data infrastructure to collect and process petabyte-scale audio datasets for training AI text-to-speech models using GCP, Terraform, and Python.
Build and scale data pipelines to collect and process petabyte-scale audio/text datasets for training Speechify’s text-to-speech AI models using GCP, Terraform, and Python.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for training next-gen text-to-speech models using GCP, Terraform, and Python.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for training next-gen AI models powering text-to-speech products.
Build and scale Speechify’s data infrastructure to collect and process petabyte-scale audio datasets for training AI text-to-speech models, using GCP, Terraform, and Python.
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