Binance22mo ago

Binance Accelerator Program - Data Scientist (AI/LLM)

Taiwan·TaipeiRemoteBinance Accelerator Programmid

Data ScienceOtherData ScientistDataProgram

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Overview

Technical Tools

langchainpythonnetworkingsystem-design

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

Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent 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 worlds’ 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. Learn about BAP Program HERE

Who may apply

Current university students and recent graduates

Contribute to the design and development of AI agents integrated into live systems.

Help build and maintain benchmark datasets to evaluate AI performance.

Design, prototype, and iterate AI agent workflows using frameworks such as LangChain, LangGraph, or similar frameworks.

Collaborate closely with senior engineers on system design, integration, and deployment.

Currently pursuing a degree in Artificial Intelligence, Computer Science, or a related field.

Familiarity with LLM application development, including prompt engineering, RAG. Knowledge of LLM fine-tuning is a plus.

Hands-on experience with LLM frameworks (e.g., LangChain, LangGraph) is a strong plus.

Strong programming fundamentals and experience with Python.

Interest in AI, data-driven systems, and building tools for real-world applications.

Good communication skills and willingness to learn quickly.