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Binance

Binance Accelerator Programme - LLM Data Scientist

Remote · AsiaFull-timePosted May 3, 2024

Source checked Oct 25, 2026

This listing appeared in a completed employer-feed check. Availability can change. Confirm availability on the employer's application page before applying.

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About this role

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

  • 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
  • Requirements

  • 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
  • Nice to Have
  • Familiarity with Web3 / Crypto
  • Experience with trading systems, backtesting, or market data
  • Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique, fast-paced projects with autonomy in an innovative environment• Thrive in a results-driven workplace with opportunities for career growth and continuous learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
    Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

    Requirements

    • 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
    • Nice to Have
    • Familiarity with Web3 / Crypto
    • Experience with trading systems, backtesting, or market data

    Job Overview

    Employment Type
    Full-time
    Seniority Level
    Mid Level
    Location
    Remote · Asia

    About the Company

    Report a listing issueBinanceBI
    Binance
    enterprise

    World's largest cryptocurrency exchange by daily trading volume.

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