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Drive original research at the intersection of generative modeling, embodied AI, and physical applications, aiming for top journal publications.

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 a Research Scientist, lead original research in generative modeling and physical AI, focusing on real-world applications and publishing findings in top journals.