Research Scientist Intern
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The role
As a Research Scientist Intern, you will design and implement large-scale multi-modal architectures that unify vision, language, and control for end-to-end autonomous driving tasks.
You will develop cross-modal alignment methods such as visual grounding, temporal reasoning, imitation and reinforcement learning to improve interpretability and action quality.
You will collaborate with researchers, perception and planning engineers, and infrastructure teams to train and deploy foundation models.
You will contribute to publications and present findings at top AI conferences.
The role requires strong proficiency in PyTorch and modern transformer-based design, plus experience with multi-modal modeling and learning techniques.
Prior experience with distributed training (DDP, FSDP) and large-batch optimization is a plus.
You will develop cross-modal alignment methods such as visual grounding, temporal reasoning, imitation and reinforcement learning to improve interpretability and action quality.
You will collaborate with researchers, perception and planning engineers, and infrastructure teams to train and deploy foundation models.
You will contribute to publications and present findings at top AI conferences.
The role requires strong proficiency in PyTorch and modern transformer-based design, plus experience with multi-modal modeling and learning techniques.
Prior experience with distributed training (DDP, FSDP) and large-batch optimization is a plus.
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