Large Language Model Algorithm Engineer

Binance; Hinoba-an; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Binance is assembling a lean LLM Algorithm & Data Science Team to pioneer next‑generation AI solutions in finance, blockchain, and beyond. You will architect and train custom foundation LLMs, build multi‑agent systems, and collaborate on Web3 data pipelines.

Join a pioneering group shaping AI-driven Web3 applications. Ideal candidates hold advanced degrees in ML/AI/CS, publish in top venues, and excel in Python, RL, and agent frameworks.

Qualifications

• Must have strong publication record in top conferences/journals on foundational LLMs or agent frameworks.
• Proven expertise in RL, reasoning algorithms, or related paradigms is essential.
• Proficiency in Python ecosystems and model prototyping end-to-end.

Responsibilities

• Model R&D: Architect and train custom foundation LLMs optimized for trading, compliance, and Web3 data.
• Agent Development: Build multi-agent systems blending 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 and shepherd MVPs toward scale.

Skills

Python

PyTorch

Reinforcement Learning

LLM & Agents

Education

Master's degree in ML/AI/CS

PhD in ML/AI/CS

Tools

JAX

TensorFlow

Keras

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.