Research Engineer Intern (Multimodal LLM)

Join Tether as a Research Engineer Intern focused on multimodal large language models. You will contribute to developing state-of-the-art foundation models and optimizing distributed training frameworks as part of our AI research efforts.

What you'll do

• Research and develop state-of-the-art LLM, video, and multimodal models to accelerate open-source progress in these domains
• Implement applications of large models in business scenarios, including pre-training, supervised fine-tuning, post-training, and inference
• Continuously optimize the training framework to adapt to large model training across thousands of multi-node GPUs
• Collaborate with broader teams across Tether to advance the development of open-source LLM, vision, and multimodal foundation models and products

What you bring

• MSc or PhD candidacy in computer science or a related technical discipline
• Research experience in at least one of the following areas: LLM, computer vision, or multimodality
• Proficiency with PyTorch deep learning framework and libraries
• Excellent analytical and problem-solving skills, logical thinking, communication, and collaboration abilities

Nice to have

• Publications in top AI conferences such as ACL, NIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, or IJCV

About Tether

Tether is a global fintech organization building reserve-backed digital tokens and pioneering blockchain-based financial solutions. The company operates USDT, the world's most trusted stablecoin, alongside divisions focused on sustainable energy, data infrastructure, education, and emerging technologies. Tether operates as a remote-first global team.