AI Intern – Scenario Analysis

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. Our team is working on the deployment of next-generation Vision-Language-Action (VLA) models for global autonomous driving products, and we’re looking for an intern to support data analysis, vector search, scenario classification, and long-tail scenario mining . This role will focus on helping us identify and understand global region-specific driving scenarios , especially long-tail cases that matter for real-world model performance and deployment. Key Responsibilities: Analyze large-scale global driving data to identify long-tail and region-specific scenarios. Build workflows for vector search / semantic retrieval over scenario-related data. Apply ML and LLM-based methods for scenario classification, clustering , and tagging. Use embedding models,...