LLM Data Scientist/Algorithm Engineer

About the Company

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role

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. The role includes creating scalable and robust LLM/RAG frameworks tailored to customer service scheduling and other production use cases. 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.
• Deploy and operate LLM services on multi-GPU or cluster environments; familiar with 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 service teams to integrate AI models into conversational chatbots across scenarios.
• Track cutting-edge research, author tech blogs, and continuously improve current architecture.

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 (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

• Shape the future with the world’s leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric global organization with a flat structure.
• Tackle unique, fast-paced projects with autonomy in an innovative environment.
• Opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).

Additional Information

Binance is committed to being an equal opportunity employer. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications or assessing responses; final hiring decisions are made by humans.