Senior Large Language Model Algorithm Engineer/Expert

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:** We’re not here to retrofit yesterday’s models—we’re here to invent tomorrow’s: **-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. ### Requirement: - 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.