Computer Vision and Deep Learning Algorithm Engineer

The Object-Semantics group is intended to solve vision problems with a semantic aspect, with an emphasis on the automotive industry. In our group, we research, develop, and deploy state-of-the-art techniques to achieve world-class results which will allow the safe development of Autonomous Driving features and Advanced Driver Assistant Systems.

What will your job look like:

• Research and develop novel Computer Vision and Deep Learning Algorithms in areas such as Object Segmentation, Object Recognition, Depth Sensing, and more, for Autonomous Vehicle solutions.
• Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
• Participate in cutting-edge Computer Vision projects that can be applied to Advanced Driver Assistance Systems and Autonomous Vehicles products from the Data science & research stage through proof of feasibility, experimenting with alternative methods to the deployment of the solution.
• Performance-oriented deployment of Computer Vision and Deep Learning algorithms on a Real-Time embedded chip for autonomous driving.
• Learn and keep updated on the latest relevant open field of research that is relevant to our day-to-day work.
  
  

• M.Sc. in Computer Science, Electrical Engineering, or related technical field OR Honor's list B.S.c graduate
• Background in Computer Vision Deep Learning theory, and track record of publications at conferences such as CVPR, ICML, NIPS, ICCV, ECCV, and others
• 3+ years of experience development, design, and deployment of machine learning algorithms for business applications and Deep Learning models.
• Proven Statistical Analysis, Mathematical, and Problem-Solving skills.