Senior DL Algorithm Developer - Semantic Segmentation Network

As part of this role, you will join a collaborative team dedicated to researching and developing advanced neural networks critical to Mobileye’s key products, focusing primarily on vision-related tasks such as segmentation, classification, and regression.

You will be responsible for the full cycle for deep learning R&D: Modeling new outputs while thinking of algorithmic improvements to enhance the performance of existing ones, participating in innovative, cross-organizational initiatives.

This position offers the opportunity to be part of a fast-paced and forward-thinking environment while leading projects with a strong emphasis on cross-functional collaboration, ensuring that our solutions meet the needs of our autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS).

What will your job look like?

• Design, develop, and implement deep learning algorithms for solving complex problems in the area of computer vision.
• Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy.
• Collaborate with cross-functional teams tounderstand requirements and develop solutions.
• Optimize existing algorithms to improve performance and scalability.
• Research latest advancements in deep learning, multi-task learning, AI architectures and
• Stay updated with the latest advancements in deep learning and apply them to enhance our algorithms.
  
  

• B.Sc. in Computer Science or a related discipline.
• Proven background in Computer Vision, Machine Learning, and Deep Learning.
• 5+ Years of proven experience in developing deep learning algorithms in Python.
• Strong understanding and experience with computer vision.
• Experience with implementing end-to-end deep learning pipelines, including data preparation, retraining, validation and deployment.
• Proficiency with deep learning frameworks such as TensorFlow, Keras and PyTorch.
• Independent, creative, and innovative with strong problem-solving skills.
  
  

• M.Sc. or Ph.D. degree in Computer Vision, Deep Learning, or Machine Learning.
• Proficiency with Linux environment, virtual environments, and Docker containers.
• Background in autonomous vehicle technology and real-time systems.