INTERNSHIP DETAILS

Intern, ADAS Data Science & Machine Learning

CompanyVolkswagen AG
LocationSan Jose
Work ModeOn Site
PostedJune 1, 2026
Internship Information
Core Responsibilities
The intern will develop and maintain data pipelines for automated processing and validation of driver assistance systems. They will also support data quality monitoring and build dashboards for data-driven decision making.
Internship Type
full time
Company Size
100058
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati. Our group sells vehicles in 153 countries and operates 114 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business. Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility Imprint & Legal: http://vw.de/legal-notice DAT: http://vw.de/dat
About the Role

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg, Germany is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN.

Brief Role Description

This position is a career level Intern and is located in San Jose, CA role classification of Fully On Site. 

 

Please note, we are not able to consider OPT/CPT candidates 

 

  • The candidate will join a cross-functional team focused on driver assistance systems validation and data analysis.
  • The intern will gain experience with cloud data platforms, data quality practices, and machine learning workflows.

Possible Tasks within this Role

  • Develop and maintain data pipelines for automated processing and validation.
  • Support data quality monitoring and anomaly detection across data sources.
  • Assist with machine learning model development and evaluation.
  • Build dashboards and visualizations for data-driven decision making.

Qualification requirements

  • Must be a master's student enrolled at a University/College or graduation date within the last six months.
  • Strong background in Python, SQL, and data analysis.
  • Experience or coursework in machine learning and statistical modeling.
  • Familiarity with cloud-based data platforms is a plus.

 

Majors: Data Science, Computer Science, Statistics, or related fields.

 

In San Jose, California, the hourly rates for this role are based on level of education:

 

Graduate (Master's): $38/hr

PhD: $42/hr 

Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.

 

This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security.

 

This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.

Key Skills
PythonSQLData AnalysisMachine LearningStatistical ModelingCloud Data PlatformsData Pipeline DevelopmentAnomaly DetectionData Visualization
Categories
Data & AnalyticsTechnologyEngineeringSoftwareTransportation