Position Overview
The AI & Future Business Fields Intern 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.
Roles & 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
Qualifications
State the required minimum qualifications required to successfully perform the job. These qualifications are necessary for someone to be considered for the position.
Required qualifications include:
Education
- Actively pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical/Systems Engineering, Business Analytics, or a closely related field.Experience
- 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.
Skills /Abilities
- Excellent written and verbal communication skills (German helpful)
- Strong organizational and planning skills
- Ability to operate independently
- Trustworthy and able to maintain confidentiality (integrity)
- Teamwork – ability to positively interact with all levels of the organization
- High quality standards and high accuracy
- Service oriented and compassionate
Proficient in MS Office applications
Percentage of required travel: n.a.
Schedule/Shift: 40 hours a week / 8 hours a day
Physical Requirements
- Must be able to lift 15 pounds at times.
- While performing the duties of this job the employee is required to talk, hear, walk, sit, stand, climb stairs on occasion with prolonged periods of sitting at a desk and working on a computer.
- Must be able to effectively work and complete tasks in an open office/noisy environment.
- This job operates in an automotive workshop and office environment. This role routinely uses standard office equipment such as computers, phones, cameras, photocopiers, and filing cabinets. While performing the duties of this job, the employee may be exposed to fumes or airborne particles, moving mechanical parts, automotive parts at operational temperature and vibration. The noise level in the work environment and job site can be loud.
The Pay Range for this position is $19 - $21 per hour, dependent on education status.
Porsche is an equal opportunity employer and we take pride in our diversity. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Porsche will be based on merit, qualifications and abilities. Porsche does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, pregnancy, status as a parent, national origin, age, disability, family medical history, ancestry, medical condition, genetic information, sexual orientation, gender, gender identity, gender expression, marital status, familial status, registered domestic partner status, family and medical leave status, military status, criminal conviction history, or any other characteristic protected by federal, state or local law.
If you are an applicant from the state of California, please review the California Applicant Privacy Notice here.
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