AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tether Operations Limited5 months ago
Remote, WorldwideSenior
Responsibilities
- Conduct foundational pre-training for large language and multi-modal models across text, vision, audio, and other modalities.
- Design, prototype, and scale model architectures, tokenizers, and cross-modal alignment layers.
- Source, filter, curate, and pipeline massive textual and multi-modal datasets for pre-training.
- Execute experiments, analyze results, and refine training methodologies for performance and token efficiency.
- Investigate and resolve model efficiency, computational performance, and multi-modal alignment bottlenecks during long training runs.
- Contribute to distributed training systems and hardware-efficiency improvements for scalable deployment.
Requirements
- Degree in Computer Science or a related field.
- Hands-on experience contributing to large-scale LLM or multi-modal pre-training runs on distributed servers with thousands of NVIDIA GPUs.
- Practical experience with large-scale distributed training frameworks, libraries, and tools.
- Deep knowledge of state-of-the-art transformer and non-transformer modifications for intelligence, efficiency, and scalability.
- Strong expertise in PyTorch and Hugging Face libraries, including model development, continual pre-training, and deployment.
- Excellent English communication skills.
- PhD in NLP, Machine Learning, or a related field is preferred.
- A strong AI R&D track record and publications in A* conferences are preferred.
Benefits
- Remote work with a globally distributed team.
- Opportunity to work on cutting-edge LLM and multi-modal AI research in a digital finance and blockchain technology company.
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.