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Responsible for data collection to support model training operations, extending cloud infrastructure, and collaborating with AI team on dataset roadmap.

The Software Engineer will design, develop, and maintain backend services including APIs for payments, subscriptions, and TTS, while ensuring scalability and performance.

The Software Engineer will support data collection for model training by enhancing cloud infrastructure and collaborating on data workflows, focusing on efficiency and scalability.

The Software Engineer will enhance data collection processes, manage cloud infrastructure for ingestion pipelines, and collaborate on dataset roadmaps for AI products.

As a Software Engineer on the Data team at Speechify, you'll collect audio data, manage cloud infrastructure, and collaborate on dataset roadmaps to enhance model training operations.

The Software Engineer for Data Infrastructure & Acquisition will handle data collection for model training, manage cloud infrastructure on GCP, and collaborate with the AI team to enhance data quality and scalability.

Lead the development of Windows desktop applications, ensuring accessibility, performance, and maintainability while collaborating with product teams. Manage feature lifecycle from concept to release, and mentor other engineers.

The Software Engineer will manage data collection for model training, optimize cloud infrastructure on GCP, and collaborate with AI team members to enhance dataset quality and volume.

The Software Engineer will enhance data collection for AI model training, manage cloud infrastructure on GCP, and collaborate with scientists and teams on data workflows.

Lead the development of Windows desktop applications, focusing on architecture, accessibility, and maintaining high-quality standards. Collaborate with cross-functional teams to ensure reliable and user-friendly software for diverse learners.