Develops machine learning and computer vision proof-of-concept projects for automotive technologies. Responsibilities include researching architectures and algorithms, collecting and preparing data, building and optimizing models, implementing vision and signal-processing algorithms, and supporting production development. The role requires Python, ML frameworks, computer vision, CNNs, Transformers, and model evaluation experience, with embedded systems, DevOps, cloud, and ROS2 knowledge considered advantageous.
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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:
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
- Minimum 2 years of professional experience in Machine Learning, with hands-on experience in Computer Vision applications, including object detection, classification, segmentation, prediction or tracking
- Very good knowledge of machine learning for classification / clustering / segmentation / optimization and regression problems
- Proven experience in construction, training, evaluating, and optimizing ML models for production or Proof of Concept projects
- Very good knowledge of Convolutional Neuronal Networks and Transformer architectures
- Very good knowledge of machine learning frameworks (Pytorch / 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 (MLFlow / MLops skills will be highly appreciated)
- Understanding of Windows, Linux development and OOP
- It will be considered an advantage some experience with ROS2, AWS, Databricks
What we offer
- We offer an annual gross salary starting from 140,000 RON, complemented by our benefits package
- Flexible working hours and hybrid work
- Health and wellbeing programs
- Meal allowance of 35 RON per day, offered through meal tickets
- Team events and company initiatives
- Extensive training and exciting internal development opportunities
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.
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