Computer Vision and Deep Learning Algorithm Developer

The In-Cabin Sensing group is intended to solve computer vision problems with a semantic aspect to understand the human driver in partially and fully autonomous driving scenarios. In our group, we research, develop, and deploy state-of-the-art technologies to achieve world-class results that enable the future development of autonomous driving features and advanced driver assistant systems.

The Driver Monitoring System is responsible for sensing and understanding the driver’s state and his relationship with the environment. The technology we develop combines state-of-the-art deep neural networks and computer vision algorithms for real-time applications deployed in vehicles - contributing to saving lives and enabling autonomous vehicles.

Check out our technology in action: https://did.li/bAYrl
What will your job look like:
You will be responsible for designing and developing algorithms for a real-time application based on computer vision algorithms.
You will lead end-to-end projects, from product requirements and characterization to algorithm design and implementation.
You will work closely with system architects, product managers, and software engineers.
You will be part of a growing team that owns an innovative product at Mobileye- developing cutting-edge technology and making a personal impact on the product.
All you need is:
MSc in Electrical Engineering, Computer Science or equivalent degree from a leading university.
3+ years of experience in computer vision and machine learning algorithm development.
Hands-on experience with fine-tuning and optimizing deep neural networks, including unsupervised and semi-supervised approaches.
Solid programming skills in Python.
Experience in system design for algorithmic pipelines.
Background in 3D geometry, computational photography, or classical image processing/computer vision- advantage.