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The Software Engineer will manage data collection for AI model training, ensure cloud infrastructure operates efficiently, and collaborate on dataset roadmaps.

The Software Engineer will be responsible for data collection and management, enhancing the cloud infrastructure, and collaborating on AI datasets to support model training.

The role involves managing data collection for model training, extending cloud infrastructure, collaborating with scientists, and optimizing data ingestion processes.

The role involves data collection for model training, utilizing cloud infrastructure, collaborating on dataset roadmaps, and finding new audio data sources.

The role involves data collection for model training, integrating infrastructure and engineering to build datasets at large scales, collaborating with scientists to improve data quality and cost efficiency, and crafting a dataset roadmap.

As a Software Engineer on the Data side of the AI team at Speechify, you'll manage data ingestion pipelines, extend cloud infrastructure, and collaborate with scientists to enhance data collection for model training, aiming to drive costs down while increasing throughput and quality.

Join Speechify to lead data collection efforts for AI model training, optimizing cloud infrastructure and collaborating on dataset roadmaps for improving text-to-speech products.

The Software Engineer will manage data collection, build ingestion pipelines, and ensure high-quality datasets for model training, collaborating with AI scientists.

The Software Engineer will design, develop, and maintain backend services and APIs for Speechify, focusing on performance, scalability, and user experience.

The Software Engineer will design, develop, and maintain backend services and APIs, focusing on scalability and performance while collaborating with cross-functional teams.