Description

In this role, you will:

  • Design, evaluate and select the Computer Vision and Video ML models and underlying software architecture to be used in the next-generation automotive infotainment middleware
  • Elevate the in-car experience across different car-lines worldwide by crafting the best-of-class AI-powered infotainment functionality
  • Select and tune of the best Computer Vision / Video ML models and incorporate them in the wider automotive infotainment middleware software architecture 
  • Design training protocols as well as continuous improvement of the software stack reflecting advancements in the field of ML

What you will need to succeed:

  • Experience in the areas of Machine Learning, Deep Learning and Computer Vision
  • Experience with state-of-the-art computer vision models and developing CV applications (e.g. face detection, object detection, image classification, scene segmentation and action recognition)
  • Hands-on experience in processing image/video data, including techniques for pre-processing, normalization and data augmentation to improve model robustness
  • Experience with performance evaluation and optimization of Computer Vision algorithms
  • Strong knowledge of Python, C/C++, OpenCV, PyTorch, TensoFlow, Keras
  • Good written and verbal English communication skills

Education

Any Graduate