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Lead research in multimodal foundation models and design algorithms for AI systems. Collaborate to transition models from research to production.

The role involves researching multimodal capabilities, designing experiments, developing evaluation frameworks, and creating prototypes related to AI systems integrating vision, audio, and language.

As a Research Engineer, you'll optimize and implement models for data processing and inference, and work on performance enhancements in distributed systems using PyTorch and CUDA.

This role focuses on addressing capability gaps in multimodal AI systems by designing datasets, developing evaluation frameworks, and creating prototypes for enhanced model capabilities.