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The Software Engineer will enhance data collection for AI, manage cloud infrastructure, and collaborate with scientists to improve datasets for Speechify's products.

Lead the design and development of Windows desktop applications, focusing on best practices, performance, accessibility, and collaboration with cross-functional teams.

Responsible for data collection to support model training operations, extending the cloud infrastructure, and collaboration for AI data strategies.

Lead the design and development of Windows desktop applications, ensuring best practices for performance, accessibility, and cross-version compatibility. Collaborate with teams to drive feature planning and maintain high-quality software through the full lifecycle.

The role involves leading the development of Windows desktop applications focusing on architecture, performance, and accessibility, while collaborating with cross-functional teams and managing the feature lifecycle.

Lead the design and development of native Windows desktop applications, ensuring accessibility and best practices while collaborating with cross-functional teams for feature planning and support.

The Software Engineer will focus on data collection and managing the ingestion pipeline, collaborating with scientists to enhance model training with high-quality datasets.

Lead the design and development of Windows desktop applications, enforce development best practices, drive accessibility, and collaborate on feature planning and execution.

The role involves designing and developing native Windows desktop applications, ensuring quality, performance, and accessibility while collaborating with cross-functional teams.

As a Software Engineer for Data Infrastructure, you will enhance data collection methods, manage cloud infrastructure, and collaborate on AI datasets to support model training.