Machine Learning Engineer - Outstanding Graduate
Jerusalem, Israel
R&D – Algorithms /
Full time /
Hybrid
We are looking for an Graduate Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving.
Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models.
What will your job look like:
- Develop and train neural networks for complex perception tasks in real-world driving environments.
- Design and analyze deep learning pipelines, from data to deployment.
- Collaborate with algorithm, software, and data experts to deliver production-ready models.
- Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.
All you need is:
- M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar)
- B.Sc. from a leading university
- Solid background in Machine Learning and Deep Learning
- Strong Python development skills
- Highly motivated, hard-working, proactive, and driven to solve challenging problems
- Ability to operate in a fast-paced research & development environment
- PhD or relevant academic publications
- Experience with Linux, Git, Docker, C++
- Knowledge in 3D perception, computer vision, or robotics
- Industry experience working on CV and Deep Learning
Advantages:
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. 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.
