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Senior Software Engineer builds core services and cross-platform SDKs in Kotlin to power Speechify’s audio-information product, optimizing parsing, loading, and cloud functions.
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, performance, and cross-version compatibility for millions of users.
Build and maintain Speechify's native Windows desktop app using WinUI, C#, and C++ to deliver accessible, high-performance text-to-speech software for millions of users.
Develops and maintains Speechify's native Windows desktop app using WinUI, C#, XAML, and C++ while ensuring accessibility and cross-version compatibility.
Develops 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 C++ to deliver fast, accessible text-to-speech for millions of users.
Develops and maintains Speechify's native Windows desktop app using WinUI, C#, and XAML, ensuring accessibility, performance, and cross-version compatibility for Windows 10/11 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 data pipelines 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 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.
Builds and maintains petabyte-scale data pipelines for AI model training at a fast-growing text-to-speech startup, using GCP, Terraform, and Python.
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 data ingestion pipeline to collect petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on Linux.
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