Key skills
PyTorchAIMachine LearningNLPLLMHugging FaceRemote Work
About this role
Role Overview
- Drive innovation in AI architecture development
- Conduct pre-training AI models on large servers
- Design, prototype, and scale innovative architectures
- Independently execute experiments and analyze results
- Investigate and improve 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 in LLM training on large, distributed servers
- Familiarity with large-scale, distributed training frameworks
- Deep knowledge of state-of-the-art transformer and non-transformer modifications
- Strong expertise in PyTorch and Hugging Face libraries
Tech Stack
- PyTorch
Benefits
- Global remote work flexibility
- Collaborate with talented minds in fintech
- Opportunity to innovate and shape digital finance
- Contribute to advancements in AI technology