LLM Data Scientist/Algorithm Engineer (Top Talent Program)

Binance

Hong Kong +1 more

Remote

Who this role is best for

A natural match if you have practical experience with LLM development and multi-agent workflows, and are comfortable with remote work across multiple global locations.

Best fit for

Candidates with hands-on LLM deployment experience and cross-lingual communication skills in English and Chinese
— “Proficient in both English and Chinese communication for efficient cross team collaboration”
Individuals who have worked on prompt engineering and retrieval-augmented generation systems
— “Design, iterate and optimize prompts ... across products and languages”
Candidates familiar with distributed computing and multi-GPU environments for LLM deployment
— “Familiar with vLLM/SGLang inference architectures and have proven experience deploying and operating LLM services on multi‑GPU or cluster environments”

Things to consider

Remote work is expected, though team-specific arrangements may vary
— “This role is 100% Remote, Work from Home based.”
The role demands a strong grasp of prompt optimization and safety frameworks
— “Design, iterate and optimize prompts ... to maximize model utility and safety across products and languages”

How to stand out

Highlight your experience with LLM evaluation pipelines and bias/hallucination detection
— “Develop evaluation pipelines (automatic metrics & human feedback) to measure prompt and model quality, bias, and hallucination rates”
Showcase your ability to build and maintain RAG systems with multi-source knowledge bases
— “Build and maintain Retrieval-Augmented Generation (RAG) QA/search systems that connect to multi-source knowledge bases”
Demonstrate your track record in deploying multi-agent LLM 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”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Developed and refined LLMs to extract actionable insights
Created scalable and robust LLM/RAG frameworks
Integrated AI models into conversational Chatbots

Typical background

Master’s Degree in Computer Science, Data Science or related fieldAt least 2 years of deep-learning/NLP experience

Skills & requirements

Required

Large Language Models (llms)NLPDeep LearningPrompt EngineeringRetrieval-augmented Generation (rag)Multi-agent SystemsEvaluation PipelinesCollaboration With Product And Customer Service Teams

Preferred

Vllm/sglang Inference ArchitecturesLanggraphCrewaiAutogen

Stack & domain

Large Language Models (llms)Retrieval-augmented Generation (rag)Vllm/sglang Inference ArchitecturesMulti-agent LLM ArchitecturesEvaluation PipelinesPrompt EngineeringC++PythonCollaborationProblem-solvingAnalytical SkillsFinanceAINLP

About the role

Original posting from Binance via Greenhouse

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.
By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.
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.

Source: Binance careers (Greenhouse)