Binance Accelerator Program - Data Scientist (On-Chain)

New
B
BinanceAI and blockchain
Location: Australia; Hong Kong; Malaysia; New Zealand; Singapore; TaiwanInternshipEntry
Salary not disclosed
Apply NowOpens the employer's application page

Job Details

Required Skills
PythonBlockchainLLM

Requirements

  • Be currently enrolled in a Master's or PhD program in Computer Science, Artificial Intelligence, Mathematics, Financial Engineering, or a related field.
  • Be able to commit to stable weekly internship hours.
  • Have a strong interest in AI and blockchain/cryptocurrency.
  • Have foundational knowledge of at least one relevant area, such as large language models, agents, blockchain, smart contracts, or DeFi.
  • Be proficient in Python and have solid programming and engineering implementation skills.
  • Be able to independently complete prototype development.
  • Demonstrate learning ability, curiosity, and initiative in exploring unfamiliar problems.
  • Communicate and document technical research conclusions and experimental results clearly.
  • Bonus: Have experience with LLM or agent projects, papers, or open-source contributions.
  • Bonus: Be familiar with blockchain development, Solidity, on-chain data analysis, wallet or transaction interaction, DeFi, or on-chain trading.
  • Bonus: Have AI × Crypto personal projects, hackathon participation, or internship experience.
  • Bonus: Have papers published at conferences such as NeurIPS, ICML, or ACL, or outstanding open-source projects.

Responsibilities

  • Track developments in AI and blockchain/cryptocurrency and produce technical research, analysis, and insights.
  • Explore the feasibility of large models, agents, and other technologies in on-chain trading, data analysis, and intelligent applications.
  • Build technical prototypes (PoCs) to validate ideas and produce reproducible experimental conclusions.
  • Develop application-level explorations and advance pre-research outcomes into demonstrable, evaluable product prototypes.
  • Collaborate with algorithm and engineering teams and help drive research topics toward implementation.
View Full Description & ApplyYou'll be redirected to the employer's site
View details
Apply Now