Research Engineer Intern (Multimodal LLM)

Responsibilities

• Research and develop state-of-the-art LLM and/or video or multimodality models to accelerate open-source progress in the domains.
• Implement the application of large models in our business scenarios, like pre-training, supervised fine-tuning, post-training, inference etc.
• Continuously optimize the training framework to better adapt to the training of large models on thousands of multi-node GPUs.
• In this role, you’ll have the opportunity to advance the development of open-source LLM, vision and/or multimodal foundation models and products. You will have the opportunity to collaborate with broader teams across Tether.
• MSc/PhD candidate in computer science or a related technical discipline
• Related Research Experience at least one of the following areas: LLM, computer vision, multimodality
• Be proficient with PyTorch deep learning framework and libraries
• Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
• Publications in the top AI conferences (e.g., ACL, NIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a nice to have.
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