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The role involves data collection for model training, managing cloud infrastructure, and collaborating on the AI team's dataset roadmap to enhance Speechify's products.

The role involves managing data collection for AI model training at Speechify, optimizing ingestion pipelines on cloud infrastructure, and collaborating with scientists to enhance data quality and scalability.

The role involves supporting data collection and ingestion pipeline operations for AI model training, including collaboration on dataset roadmap and cloud infrastructure management.

The role involves managing data collection for AI model training, extending cloud infrastructure, and collaborating on dataset roadmaps at Speechify.

The Software Engineer will manage data collection for AI model training, extend cloud infrastructure on GCP, and collaborate on data strategy.

As a Software Engineer for Data Infrastructure & Acquisition at Speechify, you will focus on data collection, operate cloud infrastructure, and collaborate with the AI team to enhance data processing for model training.

Lead development of native Windows applications, ensuring best practices, performance, and accessibility. Collaborate with cross-functional teams while managing the full feature lifecycle.

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

The role involves leading the design and development of Windows desktop applications, enforcing best practices, driving accessibility, and collaborating on feature planning, ensuring quality throughout the software lifecycle.

As a Software Engineer on the AI team, you will manage data collection, extend cloud infrastructure, and collaborate on dataset roadmaps for model training operations.