LLM Data Scientist/Algorithm Engineer (Top Talent Program)
Join Binance as an LLM Data Scientist/Algorithm Engineer, owning the full LLM pipeline: prompt engineering, RAG QA/search systems, multi-agent architectures, and evaluation pipelines to power customer-service chatbots. Requires 2+ years deep learning/NLP and 1+ year hands-on LLM work, plus English and Chinese proficiency. 100% remote.
- Compensation
- Not disclosed
- Location
- Australia; Hong Kong; New Zealand; Singapore; Taiwan
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Data science
- Posted
Skills
Must have
- Master's Degree or higher in Computer Science, Data Science or related field
- At least 2 years of deep-learning/NLP experience
- 1+ year practical LLM work (SFT, DPO, RAG, quantization, inference optimization)
- 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 (agent-orchestrator patterns, shared memory, long-horizon planning, guard-rail design)
- Familiar with vLLM/SGLang inference architectures; proven experience deploying and operating LLM services on multi-GPU or cluster environments
- Proficient in both English and Chinese communication for cross-team collaboration
Full description
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.
We are seeking a highly skilled professional to join our team, focusing on advancing through innovative AI solutions.
The successful candidate will develop and refine Large Language Models (LLMs) to extract actionable insights, improve business decision-making, and optimize prompt design for more accurate outputs. Additionally, the role includes creating scalable and robust LLM/RAG frameworks tailored to customer service scheduling, fostering innovation and maintaining a competitive market edge.
This role is 100% Remote, Work from Home based.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).