Key skills
PyTorchAIMachine LearningNLPLLMHugging Face
About this role
Role Overview
- Drive innovation in architecture development for cutting-edge models
- 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
Requirements
- A degree in Computer Science or related field
- Ideally PhD in NLP, Machine Learning, or a related field
- Hands-on experience contributing to large-scale LLM training runs on large, distributed servers 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
Tech Stack
- PyTorch
Benefits
- Join Tether and shape the future of digital finance
- Work with cutting-edge solutions to empower businesses
- Collaborate with a global talent powerhouse