Job Summary We are seeking an AI Intern with a focus on JD-AI (Joint Deep AI) Engineering to join our dynamic team. In this role, you will assist in the design, development, and deployment of deep learning models for edge IoT devices. You will collaborate with AI engineers to optimize models and applications for real-time image and video processing on embedded systems. This internship provides a unique opportunity to gain hands-on experience with cutting-edge AI technologies in the rapidly evolving field of smart devices and IoT. Key Responsibilities 1. Assist in the development, testing, and optimization of AI models for tasks such as object detection, segmentation, tracking, and action recognition. 2. Contribute to the enhancement of model performance for improved customer satisfaction and operational efficiency. 3. Help implement AI model compression techniques to deploy models effectively on IoT embedded platforms. 4. Collaborate with an agile development team to meet project requirements and deadlines. 5. Write clean, maintainable, and scalable code with a focus on performance and extensibility. 6. Support the maintenance of organized technical documentation throughout the project lifecycle. Job Requirements "1. Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. 2. Strong foundation in Python programming and basic knowledge of C/C++. 3. Interest and understanding of computer vision, AI development, and real-time image/video processing. 4. Familiarity with deep learning frameworks such as PyTorch and TensorFlow is a plus. 5. Basic understanding of transfer learning and model optimization techniques. 6. Strong problem-solving skills and a willingness to learn new technologies. Excellent communication skills, with the ability to clearly explain technical concepts. 7. Preferred: Previous experience or coursework related to AI, computer vision, LLM, Multi-modality.