TL;DR
AI Research Engineer (AI): Drive innovation in architecture development for cutting-edge AI models, including LLMs and multi-modal systems, with an accent on pre-training optimization and resolving bottlenecks. Focus on exploring and implementing novel techniques and algorithms to advance AI performance on large-scale distributed servers.
Location: 100% Remote, global
Company
Tether is pioneering a global financial revolution by providing cutting-edge solutions for digital finance, stablecoins, energy, AI, and education, empowering businesses and individuals worldwide.
What you will do
- 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.
- 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.
Requirements
- A degree in Computer Science or 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.
- 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.
Culture & Benefits
- Opportunity to join a global talent powerhouse, working remotely from every corner of the world.
- Collaborate with some of the brightest minds in the fintech space.
- Contribute to an innovative platform and a global financial revolution.
- Work in a fast-growing, lean, and industry-leading company.
- Support for sustainable growth, AI breakthroughs, and digital education initiatives.
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