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Binance is seeking a Data Scientist intern to safeguard our platform by building data-driven systems that detect anomalies and potential fraud in real-time. You will design AI models, evaluate agentic workflows, and collaborate with engineers to deliver measurable insights that strengthen trust and security for users worldwide.
The role emphasizes hands-on experimentation with deep learning, prompt engineering, and small LLM/VLM fine-tuning, including SFT and LoRA techniques.
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.
As a Data Scientist on our team, you'll be at the forefront of safeguarding Binance's ecosystem by leveraging data to detect anomalies, assess threats, and predict potential risks across the platform. Our mission is to build intelligent, scalable systems that proactively identify fraud, prevent abuse, and ensure the integrity of user activity - without compromising on performance or user experience. Join us in building a safer, smarter crypto future.
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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.