Experienced DL Algorithm Developer - Semantic Segmentation Network
Ramat Gan, Israel
R&D – Algorithms /
Full time /
Hybrid
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.
