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Lead the design and development of native Windows desktop applications, enhancing architecture, performance, and accessibility while ensuring quality and maintainability.

The role involves data collection for AI model training, developing ingestion pipelines, and collaborating with scientists to enhance data quality and scale.

The Software Engineer will manage data collection for model training, find audio data inputs, extend the GCP infrastructure, and collaborate on dataset roadmaps for AI products.

Lead the design and development of Windows desktop applications, enforce best practices, ensure accessibility, and manage the full feature lifecycle while collaborating with cross-functional teams.

The role involves developing a data ingestion pipeline and managing cloud infrastructure for large-scale audio data collection to enhance AI models.

The Software Engineer will handle data collection for model training at Speechify, extend cloud infrastructure on GCP, and collaborate with AI Scientists to optimize data ingestion.

Lead design and development of Windows desktop applications, enforce best practices, drive accessibility efforts, and collaborate with stakeholders on feature planning and implementation.

Lead the design and development of Windows desktop applications, enforce best practices, and ensure accessibility while collaborating with cross-functional teams and managing the full feature lifecycle.

The Software Engineer will support data collection for model training, manage the cloud infrastructure, and collaborate on data pipelines to enhance Speechify's AI capabilities.

Lead the design and development of native Windows desktop applications, enforce best practices, drive accessibility efforts, and ensure quality throughout the software lifecycle.