Summary

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.

Qualifications:

 Master’s or PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

At least 3-5 years of relevant industry experience in developing Machine Learning models at scale from inception to business impact

Research experience in LLMs, multi-modal understanding, vision and language, and other related topics.

Highly competent in algorithms and programming; strong coding skills in Python, C/C++, etc.

Preferred Qualifications

Experience in NLP and LLM technologies.

Publications in top-tier venues, such as KDD, CVPR, NeurIPS, ICLR, ICML, EMNLP, ACL, ECCV, ICCV, etc.

Skills

• C++
• Development
• Machine Learning
• Python
• Software Engineering