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Intern Generative AI for Automotive Design
BMW Group
Munich, Bavaria, GermanyOn Site
Original Job Summary
Intern Generative AI for Automotive Design
A GOOD INTERNSHIP IS NEVER HANDS OFF. SHARE YOUR PASSION. Join the BMW Group in a unique opportunity to support a cutting-edge research project at the intersection of academia and industry.
Our experts treat you as a team member from day one, encouraging you to bring your ideas and take responsibility. You will work with a team of researchers and engineers to advance state-of-the-art 3D generative models with potential high-level publications in AI and Computer Vision.
What Awaits You?
- Assist in fine-tuning and customizing 3D generative models (DiT- and Flow-Matching based) for vehicle design.
- Develop data-efficient techniques for conditioning models on engineering modalities.
- Explore Vision-Language Models (VLMs) as automated evaluators for generated images and 3D objects.
- Participate in an interdisciplinary research team pushing generative AI boundaries.
What Should You Bring?
- Studies in Computer Science, Engineering, Natural Sciences, or related fields.
- Extensive Python programming skills and practical knowledge of Deep Learning (PyTorch).
- Experience in customizing generative models for image or 3D generation, with relevant projects.
- A scientific mindset and enthusiasm for applying research to real challenges.
- Fluency in English; German is a plus.
What Do We Offer?
- Comprehensive mentoring and onboarding.
- Personal and professional development.
- Flexible working hours and mobile work options.
- Attractive and fair compensation with student apartments available in Munich.
Internship Details: Start date from 10/01/2025, Duration: 6 months, Full-time.
Key skills/competency
- Generative AI
- 3D Models
- Python
- Deep Learning
- PyTorch
- Vision-Language Models
- Automotive Design
- Interdisciplinary
- Research
- Data Efficiency
How to Get Hired at BMW Group
🎯 Tips for Getting Hired
- Research BMW Group's culture: Study their mission, values, and news.
- Tailor your resume: Highlight Python, Deep Learning, and AI projects.
- Prepare technical insights: Brush up on PyTorch and generative models.
- Practice interview questions: Focus on research and project experiences.
📝 Interview Preparation Advice
Technical Preparation
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Review PyTorch deep learning framework usage.
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Practice coding in Python for AI models.
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Study 3D generative model techniques.
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Understand data conditioning methods in AI.
Behavioral Questions
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Explain teamwork in research projects.
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Describe handling challenging deadlines.
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Discuss your problem-solving approach.
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Share past collaboration experiences.