Working Student (m/f/x) - AI & Automation

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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, and key learnings from the PoC activities

• Participate in regular reviews, presentations, and demonstrations of proof‑of‑concepts

• Contribute to the evaluation of new AI technologies, tools, and frameworks and assess their potential applicability

Who we are looking for:

• 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 Moldes like Claude, GPT, containerized environments (Docker).

• Ability to analyze complex problems, think creatively, and communicate results persuasively.

• Good English skills. German knowledge is a plus.

Site Benefits:

• We offer you exciting and varied tasks as well as full integration into our team

• Through your own task packages and projects, you can work independently and prepare yourself for your future working life

• You will also gain valuable insights into the practical work of one of the world's largest suppliers to the automotive industry

• You will benefit from our own canteen as well as from a coffee and tea flat

• Of course, you will be comprehensively supported by fixed contact persons during your entire employment, and you can flexibly arrange your working hours

Are you interested? We look forward to receiving your application including a current certificate of enrollment.

If necessary, please also send us your valid residence permit/work permit including supplementary sheet.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Student / Co-Op

Group:

Magna Electronics