LLM Data Scientist/Algorithm Engineer (Top Talent Program)

BinanceMelbourneRemoteFull-time2 weeks ago

Binance is seeking an LLM Data Scientist/Algorithm Engineer to develop and refine Large Language Models, optimize prompt design, and build scalable RAG frameworks for customer service scheduling. The role requires at least 2 years of deep-learning/NLP experience, including 1+ year of practical LLM work, and proficiency in English and Chinese. This is a 100% remote, work-from-home position.

What you'll do

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.
Familiar with vLLM/SGLang inference architectures and have proven experience deploying and operating LLM services on multi‑GPU or cluster environments.
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 CS teams to integrate AI models into conversational Chatbot in different scenarios.
Track cutting-edge research, author tech blogs, and keep improve current architecture.

What you need

Must-have

Large Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)vLLMSGLangMulti-agent LLM architecturesLangGraphCrewAI

Soft skills

English communicationChinese communicationCollaboration

LLMData ScientistAlgorithm EngineerRemoteBlockchainCryptocurrencyAINLPPrompt EngineeringRAG

/What you'll do

/What you need

Must-have

Soft skills

What you'll do

What you need