BMW Group
Internship in Agentic AI for Cockpit Development(m/w/x)
Full-time/Part-timeInternshipWith Homeoffice
München
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BMBMW Group
Intern AI Agents and Synthetic Data for ADAS(m/w/x)
München
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Designing AI agents for ADAS benchmarking and evaluating competitive landscapes. Python proficiency and initial experience with AI agents or synthetic data generation required. Flexible working hours, comprehensive mentoring.
Requirements
- Studies in Computer Science, AI, Data Science, Robotics, Automotive Engineering, or comparable field
- Proficiency in Python for software components or data pipelines
- Practical experience with AI agents or agent-based systems, ideally using orchestration tools like n8n or similar
- Initial experience with synthetic data generation for ML training, simulation, or scenario generation
- Understanding of Machine Learning fundamentals, Large Language Models, or prompt engineering concepts
- Interest in ADAS, automated driving, perception systems, or mobility technologies
- Good German and English skills
Tasks
- Support AI agent design for ADAS benchmarking
- Compare ADAS features and functions
- Evaluate ADAS competitive landscape
- Develop agent-based workflows for information retrieval
- Structure and evaluate data using Large Language Models
- Leverage orchestration tools like n8n
- Contribute to synthetic data pipeline development
- Generate training and validation scenarios for automated driving
- Build Python-based data processing pipelines
- Extend data analysis pipelines for structured and unstructured data
- Integrate AI solutions into development environments
- Assist in AI integration into simulation and cloud environments
Education
- Currently in higher education
Languages
- German – Advanced
- English – Advanced
Tools & Technologies
- Python
- AI agents
- agent-based systems
- n8n
- Machine Learning
- Large Language Models
- prompt engineering
- synthetic data generation
- ADAS
- automated driving
- perception systems
- mobility technologies
Benefits
Competitive Pay
- Attractive & fair compensation
Mentorship & Coaching
- Comprehensive mentoring & onboarding
Learning & Development
- Personal & professional development
Flexible Working
- Flexible working hours
- Mobile work
Other Benefits
- Apartments for students (Munich location)
- See bmw.jobs/whatweoffer
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BMBMW Group
Intern AI Agents and Synthetic Data for ADAS(m/w/x)
München
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Designing AI agents for ADAS benchmarking and evaluating competitive landscapes. Python proficiency and initial experience with AI agents or synthetic data generation required. Flexible working hours, comprehensive mentoring.
Requirements
- Studies in Computer Science, AI, Data Science, Robotics, Automotive Engineering, or comparable field
- Proficiency in Python for software components or data pipelines
- Practical experience with AI agents or agent-based systems, ideally using orchestration tools like n8n or similar
- Initial experience with synthetic data generation for ML training, simulation, or scenario generation
- Understanding of Machine Learning fundamentals, Large Language Models, or prompt engineering concepts
- Interest in ADAS, automated driving, perception systems, or mobility technologies
- Good German and English skills
Tasks
- Support AI agent design for ADAS benchmarking
- Compare ADAS features and functions
- Evaluate ADAS competitive landscape
- Develop agent-based workflows for information retrieval
- Structure and evaluate data using Large Language Models
- Leverage orchestration tools like n8n
- Contribute to synthetic data pipeline development
- Generate training and validation scenarios for automated driving
- Build Python-based data processing pipelines
- Extend data analysis pipelines for structured and unstructured data
- Integrate AI solutions into development environments
- Assist in AI integration into simulation and cloud environments
Education
- Currently in higher education
Languages
- German – Advanced
- English – Advanced
Tools & Technologies
- Python
- AI agents
- agent-based systems
- n8n
- Machine Learning
- Large Language Models
- prompt engineering
- synthetic data generation
- ADAS
- automated driving
- perception systems
- mobility technologies
Benefits
Competitive Pay
- Attractive & fair compensation
Mentorship & Coaching
- Comprehensive mentoring & onboarding
Learning & Development
- Personal & professional development
Flexible Working
- Flexible working hours
- Mobile work
Other Benefits
- Apartments for students (Munich location)
- See bmw.jobs/whatweoffer
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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