AI Research Engineer (Pre-training - LLM & Multi-Modal) - 100% Remote Worldwide

Tether Operations Limited is seeking an AI Research Engineer to join our global team and drive innovation in the development of large-scale LLM and multi-modal systems. You will work on cutting-edge architectures, pushing the boundaries of AI intelligence and efficiency while contributing to our mission of pioneering global financial and technological solutions.

Key responsibilities

• Conduct foundational pre-training for LLMs and multi-modal models on large-scale distributed clusters with thousands of NVIDIA GPUs.
• Design and prototype innovative architectures, tokenizers, and cross-modal alignment layers to enhance model performance.
• Source, filter, and curate massive-scale datasets to establish robust pipelines for efficient model training.
• Execute experimental research, analyze results, and refine methodologies to optimize token efficiency and model intelligence.
• Investigate and resolve bottlenecks in computational performance and training stability during long-running experiments.

Requirements

• PhD or advanced degree in Computer Science, NLP, or Machine Learning with a strong track record in AI R&D and relevant publications.
• Proven hands-on experience with large-scale LLM or multi-modal pre-training on distributed systems.
• Deep knowledge of state-of-the-art transformer architectures and modifications for improved scalability.
• Strong expertise in PyTorch and Hugging Face libraries for model development and continual pre-training.
• Familiarity with distributed training frameworks and tools for large-scale hardware efficiency.

What we offer

• The opportunity to work within a global, remote-first team of experts in the fintech and AI space.
• Engagement with high-impact projects that set new standards in the industry.
• A collaborative environment that values innovation, transparency, and technical excellence.