Jerusalem
Full time
What your job will look like:
- Own projects end-to-end—from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment.
- Process and analyze massive streams of crowd-sourced data to continuously improve model performance and resolve challenging edge cases in complex driving scenarios.
- Collaborate with algorithm developers, software engineers, product managers, and system teams across the organization.
- Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency.
- Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide.
All you need is:
- B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance.
- 1+ years of hands-on experience developing deep learning solutions using Python and frameworks such as PyTorch.
- Solid foundation in Algorithms, Machine Learning, and Deep Learning fundamentals (Graph Neural Networks are an advantage).
- To be a strong team player who thrives in a collaborative environment and works effectively across different groups.
- Strong analytical skills and a profound sense of ownership.
Nice to have:
- Experience leveraging AI agents and modern productivity tools in development workflows.
- Experience with cloud environments and big data tools.
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!
