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Large Language Model Algorithm Engineer

Binance
Global
Full time
Hybrid

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

Salary not specified

Location

Global

Company size

Start Up [ <10 employees ]

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Binance is building a team to pioneer next-generation AI solutions in finance, blockchain, and beyond. This role involves building LLMs for various applications, including trading systems and compliance.

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.
  • 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.
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