The Role This position focuses on computer vision applications in industrial scenarios, including but not limited to: defect detection, visual guidance, dimensional measurement, and the exploration and application of large vision models. Responsibilities • Participate in internal computer vision projects, design and implement image processing and recognition solutions, and drive them to production. • Handle image data collection, organization, filtering, and preprocessing, and perform model training, optimization, and iteration. • Explore the application of multimodal large models in industrial use cases, and research innovative solutions in areas such as few-shot detection and video understanding. • Stay up-to-date with the latest trends in computer vision and AI, and propose technical solutions tailored to Tesla’s business challenges. Required Qualifications • Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, or a related field. • Strong programming skills in Python and C++. • Familiarity with image processing algorithms, especially OpenCV. • Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. • Proficient in data science tools including Pandas, NumPy, Matplotlib, and database query tools such as MongoDB Aggregation. • Project experience with multimodal large models, with in-depth work in at least one of the following areas: multimodal representation learning, few-shot learning, or image generation. Preferred Qualifications • Prior project experience applying computer vision in industrial manufacturing or related fields. • Understanding of robotics/PLC control, industrial cameras, laser sensors, or lighting solutions. • Experience working in agile development environments. • Strong written and verbal communication skills in both Chinese and English. • Experience managing project timelines and delivering results under deadlines.