LLM Applied Data Scientist (RAG/ NLP)

About the Position

We are seeking a highly skilled LLM Applied Data Scientist (RAG/ NLP) to join our team in Hong Kong or Singapore. Binance is a leading global blockchain ecosystem trusted by millions of users worldwide. In this role, you will advance the reasoning and planning capabilities of large foundation models, enhancing model performance across the entire development lifecycle.

Responsibilities

• Design, develop, and optimize data processing and retrieval pipelines for enterprise-level generative tasks and model training applications.
• Research and evaluate advanced AI-native retrieval algorithms to strengthen large-scale LLM/VLM/Agentic AI capabilities.
• Collaborate with infrastructure and application teams to integrate RAG pipelines into production systems.
• Develop and optimize retrieval and ranking pipelines to improve user experience.
• Participate in LLM training and RAG system, applying techniques such as pre-training, supervised fine-tuning, and reinforcement learning.
• Apply NLP, CV, and multimodal methods to analyze user-generated content.

Requirements

• Master’s in Information Retrieval, NLP, Machine Learning, Computer Vision, Multimodal Learning, or related fields.
• Proficient in PyTorch with strong coding skills in Python or C++.
• Solid theoretical foundation in information retrieval, NLP, and deep learning.
• Hands-on experience with RAG, vector databases, multimodal/graph retrieval, or large-scale AI systems.
• Strong engineering ability to translate research into scalable, production-level systems.
• Self-driven, able to own projects end-to-end (design → implementation → deployment).
• Publications in top-tier conferences/journals (NeurIPS, ICML, ACL, CVPR, SIGIR, KDD, WWW) are a plus.

Why Binance

• Shape the future of finance
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle challenging projects in a fast-paced and innovative environment with autonomy
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.