LLM Data Scientist/Algorithm Engineer (Top Talent Program)

Binance; Hong Kong; Remote; HKD 942,000 - 1,648,000; Full time

Benefits offered by this job

Remote-first, work-from-home

Competitive salary and benefits

Career growth and continuous learning

Flat structure and world-class talent

Job summary

Binance seeks a highly skilled AI professional to advance through innovative AI solutions, focusing on developing and refining Large Language Models (LLMs) to extract actionable insights, improve business decision‑making, and optimize prompt design for accurate outputs. The role involves creating scalable LLM/RAG frameworks tailored to customer service scheduling, with a remote-first setup.

The candidate will implement end-to-end pipelines, collaborate with product and CS teams, and stay ahead

Qualifications

• 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.

Responsibilities

• Own the full LLM pipeline from data preparation to production real case usage.
• Design, iterate and optimize prompts to maximize model utility and safety across products and languages.
• Build and maintain RAG QA/search systems connected to multi-source knowledge bases.
• Familiar with vLLM/SGLang inference architectures and deploying LLM services on multi-GPU or clusters.
• Design, implement and operate multi-agent LLM architectures including task decomposition and tool-calling workflows.
• Develop evaluation pipelines to measure prompt and model quality, bias, and hallucination rates.
• Collaborate with product and CS teams to integrate AI models into conversational Chatbot scenarios.
• Track cutting-edge research and author tech blogs to improve current architecture.

Skills

Deep learning

NLP

Prompt engineering

LLM workflows

English & Chinese

Education

Master’s degree or higher in Computer Science

Job 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).
• 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

Why Binance

• 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)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.