Internship in AI & Machine Learning for Automotive Software Products
Original title: Praktikum AI & Machine Learning für Automotive-Softwareprodukte (m/
This job is at Mahle GmbH. You apply to them, not to GoAusbildung.
Start Date
On request
Sector
Automotive Software and Artificial Intelligence
Salary
Competitive salary
Listing data as of November 3, 2026
About this Apprenticeship
Six-month internship starting in February/March 2027 in Stuttgart, developing AI-based software products for automotive thermal management in an international, cross-disciplinary team.
What You'll Learn
- Help develop an AI-based software product for automotive thermal management, from data collection and preparation to modeling and validation
- Develop agent-based tools and workflows to support the team, for example for automated data analysis, feature engineering, model iteration or evaluation
- Work closely with an international, cross-disciplinary engineering and AI team to integrate the models and tools into prototypes or applications close to production
Requirements
- Only internships that are not entirely voluntary can currently be offered
- Studying engineering, computer science, business informatics, AI, physics, mathematics or a comparable subject
- Very good knowledge of Python and relevant AI/ML libraries, such as NumPy, Pandas, scikit-learn, PyTorch or TensorFlow
- Solid previous experience in machine learning or data science; ideally an interest in or initial experience with agentic AI approaches
- An analytical, independent and structured approach to work, with an interest in automotive and thermal management applications
- Good German and English skills
- Complete CV
- Motivation letter
- Proof of university enrollment
- Certificates, especially a current transcript of grades
- University internship guidelines showing the minimum duration
- For non-EU citizens: a valid residence permit is required
What Mahle GmbH offers
- Good pay
- 35-hour working week with flexible hours
- Paid leave
- Discounted lunch in the company restaurant
- Free parking
- Urban setting with good transport connections
- Individual support within the department
- Additional activities and a student network
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