Key Responsibilities

📍Collaborate with the team to design, implement, and optimize algorithms for KYC/KYB processes, including Optical Character Recognition (OCR), face recognition, image quality assurance, and document tampering detection. 📍Apply traditional deep learning techniques to improve model accuracy and efficiency in image processing and analysis. 📍Leverage Large Language Models (LLMs) to enhance algorithm capabilities, such as integrating multimodal AI for better document understanding and anomaly detection. 📍Conduct experiments, analyze data, and iterate on models to ensure robustness and scalability in production environments. 📍Assist in research and development of new features to strengthen Binance’s compliance and security frameworks. 📍Participate in code reviews, team meetings, and knowledge-sharing sessions to foster a collaborative environment.

Qualifications and Requirements

📍Currently enrolled in a PhD program (or equivalent advanced degree) in Computer Science (CS), Electrical Engineering (EE), Information Systems (IS), or a related field at a top university. 📍Strong background in machine learning, deep learning, and AI frameworks (e.g., PyTorch, TensorFlow). 📍A big plus: Experience or coursework in computer vision, including techniques for image processing, object detection, or facial recognition. 📍Familiarity with LLMs and their applications in multimodal tasks is highly desirable. 📍Proficiency in programming languages such as Python, with experience in data processing libraries (e.g., OpenCV, NumPy, Pandas). 📍Excellent problem-solving skills, attention to detail, and the ability to work independently or in a team. 📍Passion for blockchain, fintech, or AI ethics is a bonus.

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