LLM Data Scientist/Algorithm Engineer at Binance

Apply for LLM Data Scientist/Algorithm Engineer at Binance in Wellington City, NZ. This full‑time on‑site position offers opportunities for career growth and the chance to work on cutting‑edge AI solutions. 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 using 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‑support teams to integrate AI models into conversational chatbots in different scenarios. Track cutting‑edge research, author technical blogs, and continually 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 of 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. Benefits Competitive salary and company benefits. Work‑from‑home arrangement (varies by team). Career growth and continuous learning opportunities. Results‑driven workplace with autonomy. Equal Opportunity Employer Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. #J-18808-Ljbffr