Tether Operations Limited

AI Research Engineer (Pre-training - LLM & Multi-Modal)

Tether Operations Limited
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5 months ago
Remote, WorldwideSenior

Responsibilities

  • Conduct foundational pre-training for LLMs and multi-modal models integrating text, vision, audio, and other modalities on distributed servers with thousands of NVIDIA GPUs.
  • Design, prototype, and scale architectures, tokenizers, and cross-modal alignment layers.
  • Source, filter, and curate large-scale textual and multi-modal datasets and establish data pipelines for pre-training.
  • Execute experiments, analyze results, and refine training methodologies for model performance and token efficiency.
  • Investigate and resolve bottlenecks in model efficiency, computational performance, and multi-modal alignment stability.
  • Advance distributed training systems to improve scalability and hardware efficiency.

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 systems 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.
  • PhD in NLP, Machine Learning, or a related field and a strong AI R&D publication record at A* conferences are preferred.

Benefits

  • Remote work with a globally distributed team.

Tech Stack

Categories

AI Research
Tether Operations Limited

About Tether Operations Limited

201-500 employees

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.

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