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Join Speechify's AI team as a Software Engineer for data collection and model training infrastructure. Responsibilities include sourcing audio data, managing cloud ingestion pipelines, and collaborating with scientists on data enhancement for next-gen products.

The Software Engineer role involves managing data collection for AI model training, extending cloud infrastructure, and improving data ingestion processes.

The role involves collecting audio data to support AI model training, operating cloud infrastructure, and collaborating on dataset roadmaps.

Lead the development of Windows desktop applications, overseeing architecture, performance, and accessibility. Collaborate with stakeholders and drive the full lifecycle of features.

The Software Engineer will handle data collection for AI model training, managing cloud infrastructure and collaborating with the team to enhance data quality and scale.

The Software Engineer will build and maintain data ingestion infrastructure, enhance cloud operations, and collaborate with AI scientists to improve data collection processes at Speechify.

Lead design and development of Windows desktop applications, ensuring architecture and accessibility features while collaborating with cross-functional teams and managing the entire feature lifecycle.

The role involves developing and managing data ingestion pipelines, collaborating with AI researchers, and enhancing data processing infrastructure using cloud services.

Lead the development of native Windows desktop applications, enforce best practices, and drive accessibility efforts while collaborating with cross-functional teams.

The Software Engineer will manage data collection for model training, enhance cloud infrastructure, and collaborate on AI datasets for Speechify's products.