Large Language Model Algorithm Engineer

Position: Large Language Model (LLM) Algorithm Engineer

• Company: Binance
• Location: Singapore (Hybrid)
• 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.