Intern, AI & Digital Solutions

Porsche•Los Angeles, CA

1d•Onsite

About The Position

The AI & Digital solution supports cutting-edge projects that sit at the intersection of connected-car technology, artificial intelligence, and new business model exploration. Working alongside engineers, data scientists, and business strategists, the intern helps prototype AI solutions, validate data pipelines, and scout opportunities that leverage vehicle data to improve processes or create entirely new revenue streams. The role is located in Los Angeles, CA and requires being in the office 5 days per week. It is a full-time internship. The hourly range for this role is $19/hr-$21/hr.

Requirements

Actively pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical/Systems Engineering, Business Analytics, or a closely related field
Interest in AI & automotive technology and a desire to work hands-on with data and hardware.
Familiarity with Python (or similar) and basic data-analysis workflows.
Excellent written and verbal communication skills in English; German a plus.
Strong organizational skills , self-motivation, and integrity when handling sensitive data.
Ability to work on-site in Los Angeles up to 40 hours per week.

Nice To Haves

German a plus
German helpful

Responsibilities

Support ML/AI prototyping efforts: build and test quick-turn proof-of-concept models (e.g., predictive maintenance, driver-assistant features, generative-AI interfaces).
Support conducting automotive pre-series testing operations, focusing on new technologies and features
Assist with data-pipeline development & validation for in-vehicle or cloud-based datasets (ingestion, cleaning, feature engineering, monitoring).
Maintain and assist with cross-section upgrades of the test fleets
Conduct business-case scouting : benchmark emerging AI applications, assess market potential, and prepare concise opportunity briefs for leadership.
Help craft internal dashboards, KPIs, and reports to track experiment outcomes and knowledge transfer.
Participate in cross-functional workshops, giving input on feasibility, timelines, and resource needs.
Contribute to hardware-to-AI connectivity tests (CAN, Ethernet, sensors, edge devices) to verify end-to-end data flow from the vehicle to AI services.
Support Department Management and Project Lead creating reports.
Create a KPI summary of monitored and executed activities
Perform other duties as assigned in support of the department’s evolving roadmap
Other duties as assigned