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Leads development of Windows desktop apps (WinUI, C#, XAML) for Speechify’s text-to-speech products, focusing on architecture, accessibility, and performance to enhance user experience for millions of readers.
Build and scale Speechify’s data infrastructure to collect and process petabyte-scale audio datasets for training AI text-to-speech models.
Builds and optimizes petabyte-scale data pipelines to fuel AI models by sourcing audio data, managing cloud infrastructure (GCP/Terraform), and collaborating with researchers to improve cost/quality tradeoffs for Speechify’s text-to-speech products.
Works on data collection for AI model training, finding new audio data sources, operating GCP infrastructure with Terraform, and collaborating with scientists. Core technologies include GCP, Terraform, Python, and large-scale data processing.
Builds and optimizes petabyte-scale data pipelines for AI model training, focusing on audio data collection, cloud infrastructure (GCP/Terraform), and cost-efficient workflows to enhance Speechify’s text-to-speech products.
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