Principle AI Engineer（Computer Vision）

<p>We are seeking a highly skilled Senior AI Engineer to join our Computer Vision team. This role is focused on:</p><p>Deepfake Generation and Detection – Developing advanced algorithms to create and identify synthetic media, ensuring the integrity of biometric security.</p><p>Injection Attack Prevention – Researching and implementing defenses against injection attacks in biometric authentication systems.</p><p>General OCR for Global IC Cards – Enhancing Optical Character Recognition (OCR) solutions for secure and accurate extraction of information from various identity cards worldwide.</p><p>Image/Video Generation in AIGC – Exploring and applying AI-generated content (AIGC) techniques to create and manipulate images and videos.</p><p>Multi-Modality Security – Leveraging a combination of images, videos, and user behaviors to enhance security through cross-modal AI techniques.</p><p>The ideal candidate will contribute to the development of innovative solutions to safeguard biometric processing systems and enhance security across multiple AI-driven applications.</p><p>Responsibilities</p><p>Develop and implement state-of-the-art computer vision technologies, including deepfake detection, general OCR recognition, and AI-generated media processing.</p><p>Research and build robust solutions for biometric security, including injection attack prevention and multi-modal authentication techniques.</p><p>Collaborate with cross-functional teams to integrate solutions into existing platforms, ensuring scalability and performance.</p><p>Stay up-to-date with industry trends and advancements in computer vision, machine learning, and security.</p><p>Contribute to research, experimentation, and innovation in biometric security solutions.</p><p>Requirements</p><p>Bachelor’s degree (or higher) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.</p><p>At least 8 years of industry experience in developing computer vision solutions, including liveness detection and anti-forgery measures.</p><p>Strong experience in AI and machine learning technologies, particularly in applications related to computer vision.</p><p>Hands-on experience in developing large-scale projects involving face recognition, liveness detection, and deepfake detection.</p><p>Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.</p><p>Strong analytical and problem-solving skills.</p><p>Preferred Qualifications</p><p>Experience working in fast-paced tech companies or startup environments.</p><p>Contributions to open-source projects or research publications in the field of computer vision and biometric security.</p><p>Familiarity with edge AI and real-time processing for computer vision applications.</p>