Binance

Binance Accelerator Program - Data Scientist (On Chain background) Fully Remote

Taiwan, Taipei

As of 2026-10-06, ChainJobs confirms Binance is hiring a Binance Accelerator Program - Data Scientist (On Chain background) Fully Remote in Taiwan, Taipei; posted 2024-06-28, apply on binance.com.

categoryEngineering
salarynot posted
typeOn-site
posted2024-06-28
sourcebinance.com/careers
confirmed opentoday (2026-10-06)
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Still open on Binance’s own careers page when we last checked, today (2026-10-06). We re-check every listing daily and remove roles the moment they disappear at the source — how this works.

role description
Role Overview   We are exploring the frontier intersection of AI and blockchain/cryptocurrency, seeking passionate and innovative interns to join our research team. You will participate in technical research and prototype validation at the intersection of AI and Web3/OnChain, exploring innovative applications of large models, agents, and other AI technologies in on-chain scenarios, and rapidly turning cutting-edge ideas into verifiable prototypes.

Responsibilities:

  • Track frontier technologies and industry developments in AI and blockchain/cryptocurrency; conduct technical research and produce valuable analysis and insights.
  • Participate in pre-research topics in the AI × Crypto direction, exploring the feasibility of large models, agents, and other technologies in on-chain trading, data analysis, and intelligent application scenarios.
  • Rapidly build technical prototypes (PoCs) to validate innovative ideas and produce reproducible experimental conclusions.
  • Participate in application-level exploration and development, advancing pre-research outcomes into demonstrable and evaluable product prototypes.
  • Collaborate with algorithm and engineering teams to participate in discussions and drive topics toward implementation.

Requirements:

  • Currently enrolled Master's or PhD student in Computer Science, Artificial Intelligence, Mathematics, Financial Engineering, or related field; able to commit to stable weekly internship hours.
  • Strong interest in the intersection of AI and blockchain/cryptocurrency; foundational knowledge of at least one direction (e.g., large language models, agents, or blockchain, smart contracts, DeFi).
  • Proficient in Python with solid programming and engineering implementation skills; able to independently complete prototype development.
  • Strong learning ability and curiosity; able to quickly pick up new technologies and directions; proactive in exploring unknown problems.
  • Good communication and documentation skills; able to clearly express technical research conclusions and experimental results.
  • Bonus

  • Experience with LLM/agent-related projects, papers, or open-source contributions.
  • Familiarity with blockchain development (Solidity, on-chain data analysis, wallet/transaction interaction) or practical experience with DeFi and on-chain trading.
  • Personal projects, hackathon participation, or internship experience in AI × Crypto.
  • Papers published at top conferences (NeurIPS, ICML, ACL, etc.) or outstanding open-source projects.
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.

Sourced from Binance's official listing — full details and how to apply at the link above.

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Listing ID 356d87d766b5 · sourced from Binance's official careers page · Report this listing via the contact form (quote the listing ID)

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