Summer 2026

AI Scenario Analysis Intern

Posted on 5/5/2026

XPENG Motors

XPENG Motors

1,001-5,000 employees

Designs and manufactures intelligent electric vehicles and aircrafts

No salary listed

Santa Clara, CA, USA

In Person

Category
Data & Analytics (1)
Required Skills
LLM
Python
Data Science
SQL
Machine Learning
RAG
Data Analysis
Requirements
  • 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.
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.

XPENG stands out as a leader in the tech industry, with its focus on intelligent mobility solutions such as electric vehicles and eVTOL aircraft, demonstrating a competitive edge in the rapidly evolving transportation sector. The company's proprietary Advanced Driver Assistance System (XPILOT) and intelligent operating system (Xmart OS) enhance the user experience by integrating technology and mobility, positioning XPENG as a pioneer in smart, people-first mobility. The company's culture fosters technological advancement, making it an exciting workplace for those passionate about shaping the future of transportation.

Company Size

1,001-5,000

Company Stage

N/A

Total Funding

$8.2B

Headquarters

Guang Zhou Shi, China

Founded

2014

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