About the Role As a Lead LLM Efficiency Researcher, you will drive the investigation and implementation of novel technologies to enhance the efficiency of Large Language Models. This involves exploring new architectures, refining pre-training methods, and integrating LLMs with other AI models, such as computer vision models.
Responsibilities - Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training.
- Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks.
- Integrate and improve LLM algorithms to work with other models such as computer vision models.
- Identify defined problems/gaps in existing technology and engage other Research teams, stakeholde...