LLM Data Scientist/Algorithm Engineer (Fully Remote)
Full Job Posting
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.
- 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.
Requirements
- Master’s Degree or higher in Computer Science, Data Science or related field..
- At least 2 years of deep-learning/NLP experience, including 1+ year practical LLM work (SFT, DPO, RAG, quantization, inference optimization, etc.).
- 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, with understanding of agent‐orchestrator patterns, shared memory, long‐horizon planning and guard‐rail design.
- Proficient in both English and Chinese communication for efficient cross team collaboration
About Binance
Binance is one of the world's largest cryptocurrency exchanges by trading volume, providing a platform for trading digital assets and blockchain services.
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