Magna Electronics
automotive
WorkingStudent(m/f/x)-AI&Automation
Neural analysis suggests this role is
optimal for Entry candidates.
“Working Student (m/f/x) - AI & Automation at Magna Electronics. Skills: AI, Automation, Python, PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, Machine Learning. Support the planning, implementation, and evaluation of AI-based proof‑of‑concepts in the field of Active Safety Engineering. Contribute to the development of prototypes with a focus on automation and data‑driven analysis”
Industry & Context.
analyze complex problems
maximum of 20 hours/week, during the lecture-free period up to 40 hours/week are possible.
What They're Looking For.
Must Have
Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, Machine Learning, or a related field., Initial practical experience with AI/ML projects, e. g. , through a project in a computer science lab or similar program., Proficiency in Python, PyTorch/TensorFlow, and Scikit-Learn., Knowledge of data processing (Pandas, NumPy) and basic machine learning workflows (data preprocessing, training, evaluation)., Experience with experiment tracking and versioning (e.g., MLflow, DVC, Git)., Experience with AI Models like Claude, GPT, containerized environments (Docker)., Good English skills.
Nice to Have
German knowledge is a plus.
What You'll Do.
and evaluation of AI-based proof‑of‑concepts in the field of Active Safety Engineering
Contribute to the development of prototypes with a focus on automation and data‑driven analysis
Assist in the end‑to‑end implementation of prototypes
including data preparation
and deployment scripting
Support the documentation of architectures
and key learnings from the PoC activities
Participate in regular reviews
and demonstrations of proof‑of‑concepts
Contribute to the evaluation of new AI technologies
and frameworks and assess their potential applicability
How You'll Work.
Team & Collaboration
Collaborate closely with system and software engineers as well as product teams to derive practical and scalable solutions
Communication Scope
communicate results persuasively
Full Job Description
**Job descriptions may display in multiple languages based on your language selection.** ## **What we offer:** At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. ## ## ## **Group Summary:** Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics. **Job Responsibilities:** ## ## **About the Role:** For our Munich location we are looking for a working student (m/f/x) in the area Automation Tool Development in Active Safety Domain for a maximum of 20 hours/week, during the lecture-free period up to 40 hours/week are possible. ## **Your Responsibilities:** * Support the planning, implementation, and evaluation of AI-based proof‑of‑concepts in the field of Active Safety Engineering * Contribute to the development of prototypes with a strong focus on automation and data‑driven analysis * Assist in the end‑to‑end implementation of prototypes, including data preparation, model training, evaluation, and deployment scripting * Collaborate closely with system and software engineers as well as product teams to derive practical and scalable solutions * Support the documentation of architectures, results,
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