The position
Join our innovative team at Mobileye, where you will play a pivotal role in researching and developing advanced deep neural networks essential for our key products.
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, object detection, classification, and regression.
You will be responsible for the full cycle of deep learning R&D,modeling new solutions and enhancingthe performance of existing ones, while 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.
Optimize existing algorithms to improve performance and scalability.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research latest advancements in deep learning, multi-task learning, AI architectures and apply them to enhance our algorithms.
All you need is:
B.Sc
. in Mathematics, Physics, or Computer Science
Proven background in Computer Vision, Machine Learning, and Deep Learning.
3+ 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.
Advantages:
M.Sc
. or Ph.D. degree in Computer Vision, Deep Learning, or Machine Learning.
Background in autonomous vehicle technology and real-time systems.
