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Binance - LLM Data Scientist/Algorithm Engineer (Top Talent Program)

Remote - Australia; Hong Kong; New Zealand; Singapore; Taiwan2d ago

Remote Junior APAC Artificial Intelligence Data Analytics Technical Recruiter HR Manager vLLM

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.). • At least 2 years • 1+ year practical LLM work • Demonstrated prompt engineering & tuning expertise (few-shot design, structured prompting, prefix-/p-tuning, reward re-ranking, safety filtering). • prompt engineering & tuning • 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

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.

Benefits

• 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 enviornment 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)