Data Scientist (LLM)

Responsibilities:

• Conduct research on cutting-edge LLM technologies, including but not limited to: large language models and fine-tuning techniques, retrieval-augmented generation (RAG), prompt engineering, and knowledge-grounded dialogue systems.
• Enhance overall performance for foundation models, encompassing data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning.
• Explore new downstream products with AI and AI agent technologies at their core for Binance products.
• Stay up-to-date with the latest academic and industrial advancements in AI, LLMs, etc.

• Experience in NLP and LLM technologies.
• Publications in top-tier venues, such as KDD, CVPR, NeurIPS, ICLR, ICML, EMNLP, ACL, ECCV, ICCV, etc.