Machine Learning Engineer

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

• You will be part of a Research and Development team aiming to create new features for possible new products;
• You will analyze state of the art architectures and new solutions / algorithms, make proposals for new Proof Of Concept projects and contribute to their implementation;
• You will use your creativity to build up from scratch Proof Of Concept projects (data collection / annotation /cleaning / model creation / training / optimization and demos);
• You will implement algorithms (vision / signal processing) to support the research work, optimize existing implementations for products core development;
• Use / optimize existing developments.

What you’ll bring?

• Very good knowledge of machine learning for classification / clustering / optimization / regression problems;
• Very good knowledge of machine learning frameworks (Tensorflow / Keras);
• Very good python knowledge (virtual environments, numpy, Jupiter Lab, opencv, scikit-learn);
• Knowledge of C/C++, is a plus;
• Knowledge of embedded systems or ARM architectures / development, is a plus;
• Knowledge about devops (mlops skills will be highly appreciated)
• Understanding of Windows, Linux development and OOP;
• It will be considered an advantage some experience with full stack programming (web components integration)

What we offer

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

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.