Research Engineer Intern (Multimodal LLM)

As a Research Engineer Intern focused on Multimodal LLM at Tether, you will contribute to the development of state-of-the-art foundation models and help optimize our distributed model training framework. This internship is designed for MSc and PhD candidates who want to actively shape Tether's products, research, and emerging technologies while collaborating with industry experts.

What you'll do

• Research and develop state-of-the-art LLM and/or video or multimodal 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 support training of large models on thousands of multi-node GPUs
• Advance the development of open-source LLM, vision, and multimodal foundation models and products in collaboration with broader teams across Tether

What you bring

• MSc or PhD candidate status 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 leader in reserve-backed digital tokens, operating USDT, the world's most trusted stablecoin. The company's divisions span Tether Finance (digital asset tokenization), Tether Power (sustainable Bitcoin mining and energy solutions), Tether Data (AI and peer-to-peer technology infrastructure including KEET), Tether Education (digital learning access), and Tether Evolution (emerging technology innovation).