freehire launches on Product Hunt on 26 August.

Follow →

Research Engineer Intern (Multimodal LLM)

Open 63d reposted 2× · 2 open copies

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—from exchanges and wallets to payment processors and ATMs—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.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

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. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

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.

  • 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 @ or @

  • 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.

What this application asks

recruitee

Full name, Email, CV, Cover letter, Phone

  • Why are you interested in joining Tether?
  • Describe your experience working with large language models (LLMs), computer vision, or multimodal models. Which frameworks, datasets, or architectures have you used? written answer
  • Have you ever conducted research in pre-training, supervised fine-tuning, post-training, or inference optimization for large models? Please explain your approach and results. written answer
  • Explain a technical challenge you faced while training large models on multi-node GPUs. How did you optimize for efficiency and scalability? written answer
  • Describe a research project where you pushed the state-of-the-art in LLMs, computer vision, or multimodal models. What was the key innovation? written answer
  • Describe any experience in developing or contributing to open-source AI models or tools. What was your contribution? written answer
  • Considering this is a remote role, from which country will you be working?
  • What is your expected salary? (annual USD)
  • Linkedin Profile

See also

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available