Required Senior Deep Learning Algorithm Researcher - Air2Road Localization
Description
Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.
Requirements: M.Sc. in Computer Science / Electrical Engineering from a leading university. Ph.d - Advantage.
6+ years of hands-on experience in deep learning and computer vision in Python.
Proven ability to train and deploy neural networks with high performance and efficiency.
Full-time availability at our Tel Aviv HQ.
ADVANTAGES
Proven track record of writing and publishing papers in top-tier deep learning or computer vision conferences or journals.
Experience with classical Computer Vision algorithms (e.g. homography, PnP, feature matching).
Experience developing optimized, real-time code for edge devices.
Attributes
ATTRIBUTES
Research-driven: Able to independently explore, evaluate, and apply cutting-edge ideas.
Creative problem solver: Able to combine classical CV with DL to craft unique, real-world solutions.
Adaptable and curious: Embrace new technologies and changing requirements.
Proactive and ownership-driven: Take initiative and drive effective results.
Team-player: Collaborate effectively with others and support shared goals.
This position is open to all candidates.