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Mobileye Experienced Deep Learning Algorithm Developer Israel, Tel Aviv District 23600976
07.07.2024
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Join Our Algorithm Group at Mobileye
- Mobileye, a leader in the autonomous vehicle (AV) industry, is seeking a talented and passionate developer to join our team. If you are a bright hands-on developer with a passion for making a difference, we invite you to help us shape the future of autonomous driving.
- Which Department Will You Join?
Our algorithm group specializes in detection and classification tasks essential for AV. We focus on full image detection, object classification, and 3D detection. A key part of our work involves identifying and understanding real-world 3D elements, such as objects' size, position, and other critical attributes, to ensure accurate and reliable navigation and decision-making for autonomous vehicles.
What will your job look like?
- Design and Development : Create and implement deep learning algorithms to solve complex detection problems.
- Collaboration : Work with cross-functional teams to understand requirements and develop innovative solutions.
- Research and Innovation : Conduct research, evaluate existing models, and propose new approaches to improve performance and accuracy.
- Optimization : Enhance the performance and scalability of existing algorithms.
- Cutting-Edge Technology : Stay updated with the latest advancements in deep learning and apply them to enhance our algorithms.
All you need is:
- B.Sc. in Computer Science, Electrical Engineering, or a related discipline.
- At least 2 years of hands-on experience in developing deep learning algorithms in Python.
- Strong understanding and experience with computer vision and 3D object detection.
- Experience with end-to-end deep learning pipelines, including data preparation, training, validation, and deployment.
- Excellent analytical and problem-solving skills.
Advantages:
- Proficiency with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
- Proficiency in C++ development.
- Experience with cloud platforms such as AWS.
- Familiarity with Linux environments, virtual environments, and Docker containers.
- Experience with hardware-aware deep neural networks.
- Background in autonomous vehicle technology and real-time systems.
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