Introduction

• Deepfake Generation and Detection – Developing advanced algorithms to create and identify synthetic media, ensuring the integrity of biometric security.
• Injection Attack Prevention – Researching and implementing defenses against injection attacks in biometric authentication systems.
• General OCR for Global IC Cards – Enhancing Optical Character Recognition (OCR) solutions for secure and accurate extraction of information from various identity cards worldwide.
• Image/Video Generation in AIGC – Exploring and applying AI-generated content (AIGC) techniques to create and manipulate images and videos.
• Multi-Modality Security – Leveraging a combination of images, videos, and user behaviors to enhance security through cross-modal AI techniques.

Responsibilities

• Develop and implement state-of-the-art computer vision technologies, including deepfake detection, general OCR recognition, and AI-generated media processing.
• Research and build robust solutions for biometric security, including injection attack prevention and multi-modal authentication techniques.
• Collaborate with cross-functional teams to integrate solutions into existing platforms, ensuring scalability and performance.
• Stay up-to-date with industry trends and advancements in computer vision, machine learning, and security.
• Contribute to research, experimentation, and innovation in biometric security solutions.

Requirements

• Bachelor’s degree (or higher) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.
• At least 3 years of industry experience in developing computer vision solutions, including liveness detection and anti-forgery measures.
• Strong experience in AI and machine learning technologies, particularly in applications related to computer vision.
• Hands-on experience in developing large-scale projects involving face recognition, liveness detection, and deepfake detection.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience working in fast-paced tech companies or startup environments.
• Contributions to open-source projects or research publications in the field of computer vision and biometric security.
• Familiarity with edge AI and real-time processing for computer vision applications.