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As a Software Engineer for Data Infrastructure, you will enhance data collection methods, manage cloud infrastructure, and collaborate on AI datasets to support model training.

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.

Lead the design and development of Windows desktop applications, focusing on architecture, performance, accessibility, and collaboration with cross-functional teams to shape future product features.

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

As a Senior iOS Engineer, you will lead engineering and product decisions, enhance the iOS app's architecture, and contribute to product discussions to advance Speechify's offerings.

The Software Engineer will manage data collection and create datasets to support model training, utilizing cloud infrastructure and collaborating with AI scientists.

The Senior iOS Engineer will lead engineering and product decisions, ship production code, enhance app architecture, and participate in product discussions. They should have experience with user-focused product development and strong technical skills in Swift and SwiftUI.

Lead the development of native Windows desktop applications while ensuring best practices, accessibility, and cross-functional collaboration. Manage the full feature lifecycle from design through maintenance and improve performance and user experience.

The role involves leading key engineering decisions, shipping production code for the Speechify iOS app, maintaining app architecture, and engaging in product discussions.

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