
Innovative AI Architect
2 weeks ago
About the Role:
As an AI researcher, 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.
- 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.
A degree in Computer Science or a related field is required. A PhD in NLP, Machine Learning, or a related field with good publications in top conferences is highly preferred.
Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs is essential.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency, and scalability is required.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment is necessary.
Familiarity with large-scale, distributed training frameworks, libraries, and tools is beneficial.
Why This Job?This role offers the opportunity to collaborate with some of the brightest minds and push boundaries in the field of AI research. As a member of our team, you will have the chance to contribute to groundbreaking advancements and shape the future of digital finance.
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