Deep Learning Computer Vision Researcher

About the Company

A well-funded aerospace start-up, established as a joint venture between IAI and Tama.

Developing a big autonomous UAV (unmanned aerial vehicle) for agricultural use.

About the Team

Responsible for the machine vision of the UAV.

Real-time 3D terrain mapping, and obstacle detection

Join us in designing cutting edge deep learning new models and algorithms, optimized for real-time vision.

Responsibilities

• Research and develop state-of-the-art computer vision models
• Optimize neural networks for real-time deployment.
• Lead best practices in deep learning and innovative solutions.
• Oversee data acquisition, annotation, and augmentation processes
• Stay up to date with the latest advancements in computer vision and deep learning

Requirements

• B.Sc. or M.Sc. in Computer Science, Engineering, or related field.
• 3+ years of hands-on experience developing and optimizing deep learning models specifically for computer vision tasks (e.g., object detection, semantic segmentation, etc.).
• MUST: Proven experience in modifying and improving neural network architectures (not just using off-the-shelf models).
• Deep understanding of neural network structures, including CNNs, Transformers, and other advanced architectures, with the ability to deeply analyze existing models and enhance their architecture.
• Strong proficiency in Python, PyTorch, and classical computer vision libraries such as OpenCV.
• Proven track record of systematically designing, conducting, and analyzing experiments to drive meaningful enhancements in model performance.
• Advantage: experience optimizing models for real-time inference on GPUs or specialized hardware accelerators such as NVidia TensorRT