Machine Learning Engineer

Magna Electronics

Multiple Locations
Fully remote
Machine learning for classification, clustering, segmentation, optimization, regression
Convolutional neuronal networks and transformer architectures
Machine learning frameworks (pytorch, tensorflow, keras)
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies

Job Summary

  • At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies.
  • You will be part of a Research and Development team aiming to create new features for possible new products.
  • We invest in our employees, providing them with the support and resources they need to succeed.

Matching Summary

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies.

Skills & Requirements

Must-have

  • Machine learning for classification, clustering, segmentation, optimization, regression
  • Convolutional Neuronal Networks and Transformer architectures
  • Machine learning frameworks (Pytorch, Tensorflow, Keras)
  • Python (virtual environments, numpy, Jupiter Lab, opencv, scikit-learn)
  • Implement algorithms (vision, signal processing)

Nice-to-have

  • Embedded systems or ARM architectures
  • DevOps (MLFlow / MLops skills)
  • ROS2, AWS, Databricks experience

Key Requirements

  • Knowledge of C/C++ is a plus
  • Knowledge of embedded systems or ARM architectures/development is a plus
  • MLOps skills will be highly appreciated
  • Experience with ROS2, AWS, Databricks considered an advantage

Work Rights

Not specified

Tailored Resume

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