Tether Operations Limited is looking for an AI Research Engineer to join our AI model team. You will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements in AI performance.

What You'll Do

Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.
Design, prototype, and scale innovative architectures to enhance model intelligence.
Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.
Investigate, debug, and improve both model efficiency and computational performance.
Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

What We're Looking For

A degree in Computer Science or a related field.
Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Nice to Have

A PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D with good publications in A* conferences.

Technical Stack

PyTorch
Hugging Face libraries
NVIDIA GPUs

Team & Environment

You will be part of the AI model team at Tether, a global talent powerhouse passionate about making a mark in the fintech space. You'll collaborate with some of the brightest minds, pushing boundaries and setting new standards.