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Conduct original research in generative AI and large language models applied to crypto and financial domains, focusing on reasoning under market uncertainty and multi-agent coordination. Design and execute rigorous experiments to develop novel post-training methodologies and evaluation frameworks for LLMs in adversarial financial environments.
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, and more. Our mission is to increase the freedom of money and financial access for people around the world.
Master's or PhD in Machine Learning, Computer Science, Mathematics, Statistics, or related field; exceptional Bachelor's candidates with demonstrable research output will be considered
0–5 years of research or industry experience in ML/AI; strong academic lab or research internship experience equally valued
Deep understanding of transformer architectures, large language model pretraining dynamics, and post-training methodology — including RLHF, RLVR-based reasoning model training, and alignment techniques
Proficiency in Python and PyTorch
Rigorous mathematical foundations: linear algebra, probability theory, information theory, stochastic optimization
Bilingual English/Mandarin to coordinate with overseas partners and stakeholders
Why Binance
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 acknowledge that you have read our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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