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As a member of the AI model team, you will drive innovation in architecture development for advanced models, including small, large, and multi-modal systems. Your work will focus on enhancing intelligence, improving efficiency, and introducing new capabilities to advance the field of AI.
Responsibilities:
- 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.
- Execute experiments independently and collaboratively, 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 with large-scale LLM training runs on distributed servers equipped with thousands of NVIDIA GPUs.
- Familiarity with large-scale, distributed training frameworks, libraries, and tools.
- Deep knowledge of state-of-the-art transformer and non-transformer modifications for enhancing intelligence, efficiency, and scalability.
- Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Work Conditions:
- This is a remote, full-time position.
Language Requirement:
- Excellent English communication skills are essential.
Are you ready to contribute to the most innovative platform in fintech? Join Tether and be part of the future!
