Cantina

Lead the development of high-performance Android features, including AI-driven capabilities and immersive custom UIs. Collaborate with product and design teams to architect scalable MVVM structures and optimize media pipelines for a social AI platform.

Architect and build a shared-code strategy using Kotlin Multiplatform to power experiences across Android, iOS, and web. Design shared modules for networking, data persistence, and business logic while shipping polished Compose Multiplatform UIs.

You will build and maintain scalable data pipelines for large video generation models, including ingestion, preprocessing, and dataset curation. Additionally, you will design annotation workflows and collaborate with research teams to optimize model-driven filtering systems.

The engineer will be responsible for designing, implementing, fine-tuning, improving, and debugging image AI models that power lifelike AI bots, focusing on generative image and machine vision services. This includes evaluating new research, developing and deploying new pipelines, monitoring production issues, and optimizing models for quality and latency.

The Applied ML Engineer will productionize video generation models and build real-time inference systems. They will also collaborate with research to translate model constraints into deployable systems.