Research Engineer Intern (Multimodal LLM)
Tether Operations Limited11 months ago
Remote, WorldwideIntern
Responsibilities
- Research and develop state-of-the-art LLM, video, computer vision, and multimodality models.
- Implement large-model applications including pre-training, supervised fine-tuning, post-training, and inference.
- Continuously optimize distributed training frameworks for large models running on thousands of multi-node GPUs.
- Advance open-source LLM, vision, and multimodal foundation models and products.
- Collaborate with broader teams across Tether.
Requirements
- Be an MSc or PhD candidate in computer science or a related technical discipline.
- Have related research experience in at least one of LLMs, computer vision, or multimodality.
- Be proficient with the PyTorch deep learning framework and libraries.
- Have excellent analytical, problem-solving, logical thinking, communication, and collaboration skills.
- Publications in leading AI venues such as ACL, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, or IJCV are preferred.
Benefits
- Internship opportunities are available for 2025/2026, with applications reviewed on a rolling basis.
- The experience includes hands-on learning, community-building and development events, and collaboration with industry experts.
- Applicants should clearly state their availability, including start and end dates, in their resumes.
- Tether operates with a globally distributed remote team.
Tech Stack
Categories
AI Research
About Tether Operations Limited
Tether Operations Limited develops and issues reserve-backed digital tokens used by exchanges, wallets, payment processors, and merchants, most notably the USDT stablecoin available across multiple blockchains. Founded in 2014 and privately held, it earns revenue from token issuance, reserve management, and related services, and has expanded into tokenization, peer-to-peer communications (Keet), and Bitcoin mining. USDT is widely used in crypto trading and cross-border transfers, including in emerging markets.