Senior Large Language Model Algorithm Engineer/Expert

Binance; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

Binance in Singapore is seeking top-tier innovators for its LLM Algorithm & Data Science Team. This role focuses on architecting and training next-generation AI solutions in finance and blockchain. Candidates should hold a Master’s or PhD in relevant fields and have a strong background in reinforcement learning, Python, and blockchain protocols. Join Binance to pioneer cutting-edge AI innovations while contributing to customer support bots, trading systems, and compliance workflows.

Qualifications

• Master’s or PhD in Machine Learning, AI, Computer Science, or related field.
• Published in top conferences/journals (ICLR, NeurIPS, ACL, etc.).
• Deep expertise in reinforcement learning and related paradigms.
• Fluent in Python; experience with model development tools.
• Enthusiasm for blockchain and DeFi.

Responsibilities

• Design and train custom foundation LLMs for various purposes.
• Develop multi-agent systems that utilize AI for real-world tasks.
• Collaborate on designing Web3 data lakes and pipelines.
• Partner with teams to deploy models in production.
• Identify and prototype new AI-Web3 use cases.

Skills

Reinforcement learning

Deep learning

Python

Machine Learning

Data Engineering

Education

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

Tools

PyTorch

TensorFlow

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.