Senior Large Language Model Algorithm Engineer/Expert

Binance; Hong Kong; On-site; HKD 861,393 - 1,096,319; Full time

Job summary

Binance is seeking AI and Web3 innovators in Hong Kong to join their elite LLM Algorithm & Data Science Team. You will develop cutting-edge solutions for trading, compliance, and data processing, while pushing the boundaries of AI technology in the crypto and Web3 domains. Candidates should have a master's or PhD in related fields and a deep understanding of reinforcement learning and reasoning algorithms.

Responsibilities include architecting foundation models, developing multi-agent systems, and collaborating on innovative Web3 solutions.

Qualifications

• Master’s or PhD in ML, AI, Computer Science, Mathematics, or related field.
• Published in top conferences/journals on foundational LLMs, agent frameworks, or reasoning architectures.
• Deep expertise in reinforcement learning and reasoning algorithms.

Responsibilities

• Architect and train custom foundation LLMs optimized for trading, compliance, and Web3 data.
• Build next-gen multi-agent systems that blend search, RL, and LLM reasoning.
• Collaborate on Web3 data-lake design—ETL pipelines, vector stores, real-time feeds.
• Partner with product, compliance, and customer-support teams.
• Surface new AI-Web3 use cases and prototype MVPs.

Skills

Reinforcement learning

Reasoning algorithms

Python coding

Experience with PyTorch

Experience with TensorFlow

Data engineering

Education

Master's or PhD in ML, AI, Computer Science, Mathematics

Tools

JAX

Job description

Calling top-tier AI and Web3 innovators from around the globe! Binance is building the world’s foremost crypto and Web3 platform—and we’re just getting started. We’re assembling a lean, elite LLM Algorithm & Data Science Team (3–5 members) to pioneer next-generation AI solutions in finance, blockchain, and beyond. If you’re young, passionate, and driven by cutting-edge research, this is your moment to make history.

What You’ll Build

• Web3 Data Lake LLM – Ingest and reason over massive on-chain and off-chain datasets to power real-time insights.
• Trading System LLM – Design intelligent trading agents, signal generators, and strategy-optimization engines.
• Compliance and Regulatory LLM – Automate compliance, travel-rule enforcement, and on-chain forensics at scale.
• And beyond – From customer-service agents and personalized navigation experiences to completely new AI-powered Web3 applications.

Your creations will underpin multiple internal products—customer support bots, trading-signal dashboards, compliance workflows, user-experience agents—while also bootstrapping entirely new AI-Web3 innovations.

Responsibilities

• Model R&D: Architect and train custom foundation LLMs optimized for trading, compliance, and Web3 data.
• Agent Development: Build next-gen multi-agent systems that blend search, RL, and LLM reasoning for real-world tasks.
• Data Engineering: Collaborate on Web3 data-lake design—ETL pipelines, vector stores, real-time feeds.
• Cross-Functional Impact: Partner with product, compliance, and customer-support teams to deploy models in production.
• Innovation Pipeline: Surface new AI-Web3 use cases, prototype MVPs, and shepherd them toward scale.

Requirements

• Academic Excellence: Master’s or PhD in ML, AI, Computer Science, Mathematics, or related field.
• Research Prodigy: Published in top conferences/journals (ICLR, NeurIPS, ACL, etc.) on foundational LLMs, agent frameworks, or reasoning architectures.
• Reinforcement & Reasoning: Deep expertise in reinforcement learning, reasoning algorithms, or related paradigms—bonus if you’ve built or extended agentic frameworks.
• Polyglot Coder: Fluent in Python; experience with PyTorch, TensorFlow, JAX, or similar. You can prototype new model architectures end-to-end.
• Crypto & Web3 Curious: Enthusiasm for finance engineering, blockchain protocols, on-chain data, DeFi mechanics, or regulatory landscapes.