Research Engineer Intern (NLP/Video/Multimodal LLM) at

Website Tether

Driving the Future of Money

About the job

  • We are looking for talented individuals to join us for an internship in 2025/2026. MSc/PhD Internships at Tether aim to 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 the state-of-the-art (SOTA) foundation models, and will also be responsible for optimizing our distributed model training framework continuously.
  • 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. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
  • Applications will be reviewed on a rolling basis. We encourage you to apply early. 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.
  • 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.

Job requirements

  • 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.

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

  • Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
  • Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
  • Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
  • Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
  • We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

To apply for this job please visit tether.recruitee.com.