Binance Accelerator Program - Data Scientist (CV, Agentic AI) at Binance
Job Description
Binance is a leading global blockchain ecosystem, known for operating the worldβs largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people across 100+ countries, Binance is recognized for its industry-leading security, transparent user fund management, high-speed trading engine, deep liquidity, and an extensive portfolio of digital-asset products. Our offerings span trading, finance, education, research, payments, institutional services, Web3 features, and more. We harness the power of digital assets and blockchain to build an inclusive financial ecosystem, promoting financial freedom and improved access globally.
About Binance Accelerator Program
The Binance Accelerator Program is a concise, fixed-term initiative designed to offer Early Career Talent an immersive experience in the rapidly expanding Web3 space. Participants will have the opportunity to experience life at Binance and gain insight into the operations behind the world's leading blockchain ecosystem. The program emphasizes networking and professional development, aiming to expand your professional network and build transferable skills crucial for career advancement. This program is open to current university students and recent graduates.
About the Role
As a Data Scientist within our team, you will play a crucial role in safeguarding Binance's ecosystem. You will leverage data to detect anomalies, assess threats, and predict potential risks across the platform. Our mission is to develop intelligent, scalable systems that proactively identify fraud, prevent abuse, and ensure the integrity of user activity without compromising performance or user experience. Join us in shaping a safer, smarter crypto future.
Responsibilities
- Design, develop, and assess AI models specifically focused on detecting P2P scams, with a strong emphasis on document verification and payment proof tampering.
- Research and prototype large language model (LLM)-based solutions to enhance automated detection, generate interpretable rule-based explanations, and support the discovery of new scam patterns.
- Investigate and implement cutting-edge image embedding techniques to extract meaningful features for downstream applications such as clustering and classification.
- Collaborate closely with other data scientists and engineers to optimize the detection pipeline and deliver actionable insights to key stakeholders.
Requirements
- Currently enrolled as a full-time or part-time undergraduate, Masterβs, or PhD student, or a recent graduate.
- Solid understanding of AI principles and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering, and optimization techniques.
- Strong interest in Agentic Prompt Engineering and its applications.
Preferred Qualifications
- Commitment to a minimum duration of 1 year.
- Proficiency in programming languages, particularly Python and SQL.
- Practical experience in developing computer vision and/or image analysis models.
Why Binance
- Shape the future with the worldβs 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.
- Enjoy a competitive salary and company benefits.
- Benefit from a work-from-home arrangement (which may vary based on the business team's work nature).
Binance is committed to being an equal opportunity employer. We believe that 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. Your privacy is important to us.
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About Binance
Binance is one of the worldβs leading blockchain ecosystems and cryptocurrency exchanges, offering trading, staking, lending, and Web3 infrastructure services. The firm provides remote and global opportunities in fields like engineering, compliance, crypto research, and product development.
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