At Magna, our groups work together to deliver advancements in mobility to build a better world for everyone and everything. Magna’s ADAS technologies are shaping an autonomous future and improving lives.

Full autonomy is coming. But to create the technology which will bring it into view, you need the desire and ability to adapt complete ADAS systems or modular solutions to any vehicle, for any mobility need.

Magna’s electronics solutions connect OEMs to their customers with features that improve their lives. It’s our expertise across the entire vehicle, key strategic partnerships and culture of innovation that allow us to make our industry-leading technologies road-ready. And it is how we’ll continue to build a safer, smarter and more connected mobility experience for all people.

What you can expect

• As a Machine Learning Student, you will be part of passionate and innovative team working on various cutting-edge projects in the automotive safety industry where you will have the chance to get in touch with technologies responsible for vehicle interior monitoring.

• Understand specific use cases, ensure data collection, set up and elaborate data, and handle edge-cases.
• You assist in defining architecture, design, test strategies, and pipelines under the guidance of experienced engineers.
• You will participate in software development and ongoing enhancements in an Agile environment.
• You will learn to build and enhance machine learning models for diverse automotive applications.
• You will gain experience in taking initiative and work both independently and collaboratively.

What you'll bring 

• Good knowledge of programming in Python.

• Proven minimum experience with machine learning, image processing techniques, and computer vision is desired. If you can share your work or extracts of your work, it will be highly appreciated.

• Minimum experience with Integrated Development Environments (IDEs) like Visual Studio.

• Familiarity with versioning systems (e.g., GIT).

• A willingness to learn software development best practices and clean code principles.

• It would be considered a plus being enrolled in a terminal year of a Computer Science bachelor’s degree or enrolled in a master's program related to Computer Vision / Computer Science (Machine Learning specific curricula would be desired)

• Proven interest in relational/non-relational databases will be considered an advantage

What we offer 

• Benefits:

• Flexible working hours and hybrid work
• Health programs, sports and team events
• An extensive training program and exciting internal development opportunities
• Meal allowance

Additional Information

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 to comply with GDPR requirements and your local Data Privacy Law.