Binance24mo ago

Binance Accelerator Programme - LLM Data Scientist

AsiaRemoteBinance Accelerator Programmid

Data ScienceOtherData ScientistData

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Quick Summary

Overview

Key Responsibilities

Design and develop LLM-based agents for Web3 scenarios Build agents for token research and summarization Assist in developing and evaluating trading agents using market and on-chain data Experiment with prompt engineering, mcp, memory, and agent…

Requirements Summary

Familiarity with Web3 / Crypto Experience with trading systems, backtesting, or market data

Technical Tools

langchainpythonmachine-learningnetworking

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About Binance Accelerator Program (BAP)

Binance Accelerator Program is a concise 6-months program designed to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world' s leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. You will be hired under a junior fixed term contract.

Who may apply

current students and recent graduates who can work full-time for a period of 6 months.

Responsibilities

Design and develop LLM-based agents for Web3 scenarios

Build agents for token research and summarization

Assist in developing and evaluating trading agents using market and on-chain data

Experiment with prompt engineering, mcp, memory, and agent coordination strategies

Strong background in data science, machine learning, or computer science

Proficiency in Python and data processing pipelines

Experience with agent orchestration, such as planning, routing, tool use, or multi-agent collaboration.

Experience using LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.

Experience using RAG, vector databases, and evaluation of agent systems