LLM Data Scientist - CS/AI Chatbot

About the Company

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage digital assets and blockchain to build an inclusive financial ecosystem.

We are seeking a highly skilled professional to join our team, focusing on advancing customer service scheduling optimization through innovative AI solutions and developing/refining Large Language Models (LLMs) to extract actionable insights, improve decision-making, and optimize prompts for improved outputs.

Responsibilities

• Own the full LLM pipeline from data preparation to production real-case usage.
• Design, iterate and optimize prompts (zero-/few-shot, chain-of-thought, tool-calling, etc.) to maximize model utility and safety across products and languages.
• Build and maintain Retrieval-Augmented Generation (RAG) QA/search systems that connect to multi-source knowledge bases.
• Deploy and operate LLM services on multi‑GPU or cluster environments; work with vLLM/SGLang inference architectures.
• Design, implement and operate multi‑agent LLM architectures (e.g. LangGraph, CrewAI, AutoGen) including task decomposition, agent orchestration, memory sharing and tool‑calling workflows.
• Develop evaluation pipelines (automatic metrics & human feedback) to measure prompt and model quality, bias, and hallucination rates.
• Collaborate with product and customer service teams to integrate AI models into conversational chatbot scenarios.
• Track cutting-edge research, author technical blogs, and continuously improve current architecture.

Qualifications

• Master’s degree or higher in Computer Science, Data Science or related field.
• At least 2-8 years of deep-learning/NLP experience, including 1+ year practical LLM work (SFT, DPO, RAG, quantization, inference optimization, etc.).
• Ideal: at least 2 years in CS Chatbot and 3-5 years experience in LLM.
• Demonstrated prompt engineering & tuning expertise (few-shot design, structured prompting, prefix-/p-tuning, reward re-ranking, safety filtering).
• Practical experience building and deploying multi‑agent LLM workflows and understanding of agent‑orchestrator patterns, shared memory, long‑horizon planning and guard‑rail design.
• Familiarity with vLLM/SGLang inference architectures and deploying/operating LLMs on multi‑GPU or cluster environments.
• Clean coding practices, good English communication skills, strong ownership and eagerness to learn.

Benefits

• Shape the future with the world’s leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric global organization with a flat structure.
• Tackle unique, fast-paced projects with autonomy and opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).