Large Language Model Algorithm Engineer

Description Position : Large Language Model (LLM) Algorithm Engineer Company : Binance Job Type : Full-Time, Hybrid About the Job Binance is seeking top-tier innovators to join their lean, elite LLM Algorithm & Data Science Team . This team is focused on developing next-generation AI solutions in finance , blockchain , and beyond. If you're passionate about cutting-edge AI research, this is an exciting opportunity to be part of a pioneering team in the Web3 and crypto space. The projects you will work on will help shape the future of the Web3 ecosystem, with a focus on building advanced AI systems that will drive key products such as intelligent trading agents, compliance systems, and personalized customer experiences. What You’ll Build Web3 Data Lake LLM : Develop systems to ingest and reason over massive on-chain and off-chain datasets to generate real-time insights. Trading System LLM : Design intelligent trading agents, signal generators, and strategy optimization engines. Compliance and Regulatory LLM : Automate compliance workflows, travel-rule enforcement, and on-chain forensics at scale. AI-powered Web3 Applications : Create new AI-powered Web3 tools, such as customer service bots, trading-signal dashboards, and more. These innovations will impact multiple internal products and help shape the future of Web3 and AI in finance. Responsibilities Model R&D : Architect and train custom foundational LLMs optimized for trading, compliance, and Web3 data. Agent Development : Build next-gen multi-agent systems that integrate search, reinforcement learning (RL), and LLM reasoning for real-world tasks. Data Engineering : Work on Web3 data-lake design, including ETL pipelines, vector stores, and real-time data feeds. Cross-Functional Collaboration : Partner with product, compliance, and customer-support teams to deploy models in production environments. Innovation Pipeline : Surface new AI-Web3 use cases, prototype MVPs, and shepherd them to scale. Requirements Academic Excellence : Master’s or PhD in Machine Learning (ML), Artificial Intelligence (AI), Computer Science, Mathematics, or a related field. Research Prodigy : Proven track record of publishing in top conferences and journals such as ICLR , NeurIPS , ACL , etc., especially in areas related to foundational LLMs, agent frameworks, or reasoning architectures. Expertise in RL and Reasoning : Strong knowledge of reinforcement learning, reasoning algorithms, and related paradigms. Bonus points for experience in building or extending agentic frameworks. Coding Proficiency : Fluent in Python and experienced with frameworks such as PyTorch , TensorFlow , or JAX . Ability to prototype new model architectures end-to-end. Crypto & Web3 Enthusiasm : A keen interest in finance engineering , blockchain protocols , on-chain data , DeFi mechanics , and regulatory landscapes . Why Join Binance? Innovative Work Environment : Shape the future with the world’s leading blockchain ecosystem and contribute to breakthrough innovations in the Web3 space. Collaborative Culture : Work with top-tier talent in a flat, user-centric global organization that encourages autonomy and teamwork. Career Growth : Thrive in a fast-paced, results-driven workplace with plenty of opportunities for continuous learning and advancement. Hybrid Flexibility : Enjoy the balance of working remotely with occasional hybrid engagements, providing both flexibility and connection to the team. Competitive Compensation : Attractive salary package along with company benefits. Community Operations Specialist - Binance Wallet - Singapore Reposted: Binance Accelerator Program - iOS Engineer Binance Accelerator Program -(Java dev) QA Engineer Community Operations Specialist - Taipei City, Taiwan #J-18808-Ljbffr Industry Other Category Engineering Sub Category Telecommunication & Information Technology