Research Engineer Intern (Multimodal LLM)

Join Tether and Shape the Future of Digital Finance

At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting-edge solutions empower businesses to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with solutions like KEET. Tether Education: Democratizing access to top-tier digital learning, empowering individuals to thrive in the digital and gig economies. Tether Evolution: At the intersection of technology and human potential, pushing boundaries where innovation and human capabilities merge.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards.

About the Job

We are looking for talented individuals to join us for an internship in 2025/2026. MSc/PhD Internships at Tether provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. In our team, you will have the opportunity to participate in the development of state-of-the-art (SOTA) foundation models, and will also be responsible for optimizing our distributed model training framework continuously. Applications will be reviewed on a rolling basis. Please state your availability clearly in your resume (Start date, End date).

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.
• Collaborate with broader teams across Tether to advance the development of open-source LLM, vision and/or multimodal foundation models and products.