Binance Accelerator Program - AI Research Scientist (LLM Reasoning & Post-Training)

Job details

Work model

Remote

Salary

Not listed by source

Location

Asia; Taiwan, Taipei; Hong Kong

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.   About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.   Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws   About the Role You'll work alongside senior research scientists on problems at the frontier of LLM reasoning, post-training methodology, and agentic AI - in one of the few environments where your models interact with live global markets at scale. This isn't a support or literature-review role. You'll run experiments, form independent hypotheses, implement ideas from recent papers, and work closely with engineering teams to understand how research behaves under real production constraints - 24/7, zero-downtime, hundreds of millions of users. Who may apply Current university students (Masters, PHD in AI track) or recent graduates who don't mind starting as intern.

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