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As a Software Engineer for Data Infrastructure, you will manage data ingestion, collaborate on dataset roadmap, and extend cloud infrastructure.

Lead the design, architecture, and development of Windows desktop applications, ensuring accessibility, performance, and code maintainability. Collaborate with cross-functional teams to manage features from conception to release.

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

Design and develop native Windows apps, enforcing best practices for accessibility, architecture, and performance. Lead feature lifecycle from conception to release, and mentor juniors. Collaborate with various teams for UI/UX planning.

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

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

The Senior Software Engineer will lead the design and development of native Windows applications, ensuring performance, accessibility, and collaboration with cross-functional teams.

The role involves data collection for model training operations, managing cloud infrastructure, and collaborating with AI scientists to improve data quality and efficiency.

The role involves collaborating with product teams, optimizing backend services, and shipping solutions using Kotlin while enhancing user experience through clear APIs.

Lead the design and development of Windows desktop applications, enforce best practices, drive accessibility efforts, and ensure high-quality features from conception to release.