Own how non-text modalities enter the pretraining run: data, encoders, fusion architecture, and
Build and scale multimodal data pipelines (images, video, 3D, physical/scientific data).
Conduct architecture research on tokenization, encoding, and interleaving of modalities with text.
Define evaluations and ablations to validate data and architecture.
Run controlled training experiments and make verdicts that land in the flagship recipe.

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