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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.
The Staff Software Engineer will lead the end-to-end development of Databricks' first-party data collection stack, including browser tags, mobile SDKs, and high-throughput server-side ingestion. This role focuses on building scalable, reliable, and privacy-compliant data infrastructure that integrates across the company's Data and AI platform.
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#, XAML, and C++ to deliver accessible, high-performance text-to-speech software for millions of users.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python in a fully remote role.
Build and scale 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.
Build and scale Speechify’s data ingestion pipeline to collect and process petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python on a fully remote team.
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.
Build and scale Speechify’s data pipeline to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Build and scale data pipelines to collect and process audio/text datasets for AI model training at a text-to-speech company, using GCP and Terraform.
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.
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