Research Engineer Intern (Multimodal LLM)

As a Research Engineer Intern in Multimodal LLM at Tether, you will contribute to the development of state-of-the-art foundation models and optimize our distributed model training framework. You join a team working on cutting-edge AI research that advances open-source progress in large language models, vision, and multimodal domains, while applying these models to real business scenarios across the organization.

What you'll do

• Research and develop state-of-the-art LLM and/or video or multimodality models to accelerate open-source progress in these domains
• Implement the application of large models in business scenarios, including pre-training, supervised fine-tuning, post-training, and inference
• Continuously optimize the training framework to better adapt to training large models on 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

• Currently pursuing an MSc or PhD 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 the PyTorch deep learning framework and libraries
• Excellent analytical and problem-solving skills, logical thinking, and strong 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 across blockchains, alongside businesses in energy optimization for Bitcoin mining, AI and peer-to-peer infrastructure, and digital education. The company operates remote teams worldwide and is a leader in the blockchain and digital finance space.