Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.

Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing 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 who can commit at least 6 months tenure, minimum 3 days per week

Responsibilities:

Responsible for the research and implementation of algorithms in the fields of document OCR, image quality assessment, LLM AI agent, etc.
Involve in KYB/KYC business metrics analysis, related document OCR/document analysis algorithm implementation, performance evaluation, and data acquisition based on our application scenarios.
Involve in image/document analysis related to anti-money laundry (AML) or fraud detection.

Requirements:

Bachelor's degree or higher, with ongoing Master’s degree or Ph.D study majoring in computer science, data science, or other highly related areas, focusing research on LLM, CV, image processing, machine learning etc.
Passionate about AI with a clear understanding of AI-related applications (including LLM, AI Agent, OCR , etc.) and knowledge of related technical principles.
High enthusiasm, strong learning ability, and high emotional perception.

Binance Accelerator Program - Data Scientist

Responsibilities:

Requirements:

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