Software Expert – Deep Learning Team
Ramat Gan, Israel
Mobileye
Leading the evolution of automobility from advanced driver-assistance systems to autonomous driving through world-renowned expertise in artificial intelligence.
Join a team of deep learning specialists developing real-time solutions for cutting-edge automotive applications. We're looking for a hands-on software expert to lead all software-related aspects within the team – from infrastructure and tooling to deployment and monitoring. You’ll be embedded in a group of data scientists and work closely with DevOps and platform teams to bring deep learning models from concept to customer-ready solutions.
What will your job look like?
- Lead the design, development, and maintenance of the team’s deep learning software infrastructure.
- Build and maintain tools for training, evaluation, deployment, and monitoring of DL models.
- Develop and maintain CI/CD pipelines and improve automation across development workflows.
- Collaborate with data scientists to streamline model experimentation and product ionization.
- Coordinate with DevOps and platform teams to ensure scalability and integration into larger systems.
- Develop internal visualization and monitoring tools to support interpretability and performance tracking.
- Champion best practices in software development, including testing, code reviews, and maintainability.
All you need is:
- BSc in Computer Science, Software Engineering, or a related field.
- 3+ years of experience in Python development with a focus on MLOps DL or infrastructure.
- Experience with at least one major DL framework: PyTorch or TensorFlow.
- Solid understanding of deep learning workflows and lifecycle from development to deployment.
- Experience with CI/CD, containerized environments (Docker), and version control (Git).
- Strong communication and collaboration skills – able to work independently and drive projects forward.
Nice to have:
- Familiarity with monitoring and visualization tools for DL workflows.
- Experience working in or integrating with cloud environments (e.g., AWS, GCP).
- Understanding of software architecture for scalable ML systems.
- Experience with model deployment and optimization (e.g., quantization, conversion).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Deep Learning Jobs
Machine Learning Jobs
Tags: Architecture AWS CI/CD Computer Science Deep Learning DevOps Docker Engineering GCP Git Machine Learning MLOps Model deployment Pipelines Python PyTorch TensorFlow Testing
Region:
Middle East
Country:
Israel
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