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Lead the design and development of native Windows desktop applications, ensuring quality, accessibility, and collaborating with various stakeholders throughout the application lifecycle.

Lead design and development of native Windows desktop applications, ensuring performance and accessibility, while collaborating with cross-functional teams.

This role involves data collection for model training at Speechify, managing the cloud infrastructure for data ingestion, and collaborating on data strategies for AI products.

The Software Engineer will manage data collection for model training, operate cloud infrastructure for ingestion pipelines, and collaborate with scientists on data strategies.

The Senior Software Engineer will lead the design and development of native Windows desktop applications, ensuring best practices, accessibility, and collaboration with design and QA teams, while owning the software lifecycle from conception to maintenance.

The role involves managing data collection and processing for AI model training, enhancing data pipelines, and collaborating on data strategies.

The Software Engineer is responsible for data collection and ingestion pipeline management, collaborating with scientists and leadership to enhance data quality and scale for AI initiatives.

The Software Engineer will handle data collection for AI model training at Speechify, manage ingestion pipelines on GCP, and collaborate on dataset strategies.

The role involves leading engineering decisions, shipping code for the iOS app, participating in product discussions, and enhancing app architecture.

As a Software Engineer in Data Infrastructure at Speechify, you'll develop data ingestion pipelines, manage cloud infrastructure on GCP, and collaborate with scientists to enhance data quality for AI models.