Research Scientist Intern, Embodied Foundation Models (Data, Modeling, & Reasoning)
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The role
Join as an Applied Scientist Intern to advance embodied foundation models and conduct impactful research.
Develop and pretrain multimodal models that integrate vision and language, with a focus on reasoning.
Train and evaluate models in a multi-node distributed environment using large-scale datasets.
Lead high-impact research tasks and aim to publish at top-tier conferences (CVPR, NeurIPS, ICCV, CoRL, etc.).
Strong background in vision-language models, NLP, and reasoning; proficient in Python and ML frameworks (PyTorch, TensorFlow, JAX).
Essentials include pursuing a graduate degree and experience with distributed training and backend programming.
Develop and pretrain multimodal models that integrate vision and language, with a focus on reasoning.
Train and evaluate models in a multi-node distributed environment using large-scale datasets.
Lead high-impact research tasks and aim to publish at top-tier conferences (CVPR, NeurIPS, ICCV, CoRL, etc.).
Strong background in vision-language models, NLP, and reasoning; proficient in Python and ML frameworks (PyTorch, TensorFlow, JAX).
Essentials include pursuing a graduate degree and experience with distributed training and backend programming.
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