Binance - Binance Accelerator Program

• 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. • 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.