INTERNSHIP DETAILS

AI Intern – Scenario Analysis

CompanyXPENG
LocationSanta Clara
Work ModeOn Site
PostedMay 5, 2026
Internship Information
Core Responsibilities
Analyze large-scale global driving data to identify long-tail and region-specific scenarios for autonomous driving. Build workflows for semantic retrieval and apply ML/LLM methods for scenario classification and tagging to improve VLA models.
Internship Type
full time
Company Size
2304
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Its mission is to drive Smart EV transformation with technology and data, shaping the mobility experience of the future. In order to optimize its customers’ mobility experience, XPeng develops in-house its full-stack advanced driver-assistance system technology and in-car intelligent operating system, as well as core vehicle systems including powertrain and the electrical/electronic architecture. XPeng is headquartered in Guangzhou, China. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm.The Company’s Smart EVs are mainly manufactured at its plant in Zhaoqing and Guangzhou，Guangdong province. For more information, please visit https://www.xpeng.com/
About the Role
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, prompt engineering, and RAG-style pipelines to organize unstructured data and surface useful patterns.
  • Support data mining, data cleaning, and scenario curation for VLA model improvement.
  • Generate analyses, dashboards, and summaries to help the team understand failure cases and regional data gaps.

Qualifications

  • Strong skills in Python, SQL, and data analysis.
  • Experience with machine learning pipelines, clustering, classification, or unsupervised learning.
  • Familiarity with embedding models, vector search, semantic retrieval, RAG, or prompt engineering.
  • Strong analytical thinking and comfort working with large datasets.
  • Interest in autonomous driving, multimodal ML, embodied AI, or VLA model.
 
What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.
Key Skills
PythonSQLData AnalysisMachine LearningClusteringClassificationUnsupervised LearningEmbedding ModelsVector SearchSemantic RetrievalRAGPrompt EngineeringMultimodal MLEmbodied AIVLA Models
Categories
TechnologyData & AnalyticsEngineeringTransportationScience & Research
Benefits
Supportive EnvironmentComputational ResourcesCompetitive Compensation PackageSnacksLunchesDinnersFun Activities