Deep Learning Algorithm Developer Student
Jerusalem, Israel
R&D – Algorithms /
Student /
Hybrid
Mobileye is looking for an Algorithm Developer Student to join a team developing Computer Vision and Deep Learning algorithms for traffic sign recognition. Working with large-scale datasets, you will help solve challenging real-world problems that directly influence autonomous driving systems and vehicle behavior.
In this role, you will take part in the full Deep Learning R&D cycle, from researching and modeling new solutions to improving existing algorithms and bringing them into production. The team combines cutting-edge AI technologies with production-oriented development, working closely with real products and customer deliveries.
What will your job look like:
- Research and explore recent advancements in deep learning, multi-task learning, and AI architectures, and help evaluate their applicability to our solutions.
- Assist in designing, implementing, and testing deep learning models and algorithmic solutions.
- Analyze model performance, debug issues, and help improve the accuracy and robustness of algorithms.
- Work closely with experienced Algorithm Developers and cross-functional teams to better understand system requirements and contribute to ongoing projects.
All you need is:
- B.Sc. student in Computer Science, Electrical Engineering, or a related field.
- M.Sc. student specializing in Computer Vision, Deep Learning, or Machine Learning- an advantage.
- Availability to work at least 60% position (3 days per week).
- Strong programming skills in Python.
- Experience with C++.
- Knowledge of computer vision concepts or hands-on academic/project experience.
- Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
