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As a Research Engineer, you'll design and implement training pipelines for action-conditioned world models, collaborate with industrial partners, and publish impactful research in generative AI applications.

The Research Engineer will lead pre-training and post-training for action-conditioned models, develop training methodologies, and build distributed training infrastructure to support physical AI applications.

As the founding member of the Growth team, you'll drive user conversions by architecting the growth stack, shipping monetization features, and coaching engineers on experimentation to enhance business metrics.

Design, build, and deploy frontend and backend services for image and video creation tools, integrating with various technologies and APIs.

Design, build, and deploy backend services for creative tools. Integrate with AWS, ensuring scalable and secure Python code for event processing and APIs.