AI Research Engineer

Join Tether and shape the future of digital finance. At Tether, we’re not just building products; we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables instant, secure, and global transactions at a fraction of the cost. Transparency is the bedrock of our operations, ensuring trust in every transaction.

As a member of the 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 work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

Responsibilities:

• Conduct pre-training of 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.

Qualifications:

• A degree in Computer Science or a related field, ideally 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).
• Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
• 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 pre-training, and deployment.

Language Requirements:

• Excellent English communication skills are required.

Are you ready to be part of the future with Tether?