Senior Large Language Model Algorithm Engineer/Expert

About the Role

Binance is on a mission to build the leading crypto and Web3 platform globally. We are forming an elite and compact LLM Algorithm & Data Science team, consisting of 3 to 5 members, focused on pioneering advanced AI solutions in finance, blockchain, and related sectors. This opportunity is ideal for young, passionate individuals driven by cutting-edge research who want to contribute to transformative innovation.

Key Projects

• Develop a Web3 Data Lake LLM that processes large volumes of on-chain and off-chain data for immediate insights.
• Design intelligent trading systems, including trading agents, signal generators, and strategy optimization tools.
• Create compliance and regulatory LLMs to automate compliance processes, enforce travel rules, and conduct on-chain forensics at scale.
• Build AI applications ranging from customer support bots and personalized navigation experiences to new AI-powered Web3 innovations.

Responsibilities

• Lead research and development by designing and training custom foundational LLMs tailored for trading, compliance, and Web3 data.
• Develop next-generation multi-agent systems that integrate search, reinforcement learning, and LLM reasoning to accomplish practical tasks.
• Collaborate on designing and implementing Web3 data lakes, including ETL pipelines, vector stores, and real-time data feeds.
• Work closely with cross-functional teams including product management, compliance, and customer support to deploy models effectively in production environments.
• Identify emerging AI-Web3 use cases, develop prototypes, and guide them toward scalable implementations.

Requirements

• Possess a Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, or a related discipline.
• Proven research background with publications in reputed conferences or journals such as ICLR, NeurIPS, or ACL related to foundational LLMs, agent frameworks, or reasoning architectures.
• Strong expertise in reinforcement learning, reasoning algorithms, or related fields; experience creating or extending agentic frameworks is advantageous.
• Expert programming skills in Python, with experience in deep learning frameworks like PyTorch, TensorFlow, or JAX; capable of developing novel model architectures from scratch.
• A keen interest or background in crypto, Web3 technologies, finance engineering, blockchain protocols, on-chain data analysis, decentralized finance mechanics, or regulatory compliance.

Additional Information

Throughout the hiring process, artificial intelligence tools may assist in application review and resume analysis. However, final recruitment decisions are made by human evaluators. Candidates may request further details regarding data processing procedures if desired.