Internship – Deep Learning for Video Understanding

As a Deep Learning for Video Understanding intern, you will work on cutting-edge research and development projects focused on advancing video analysis and understanding using deep learning techniques. Your primary responsibilities include: Designing, implementing, and evaluating deep learning models for video understanding tasks such as action recognition, object tracking, scene segmentation, and temporal reasoning. Collaborating with a team of researchers and engineers to develop novel algorithms that improve the accuracy and efficiency of video processing systems.

To succeed in this internship, you should have: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Strong foundation in deep learning, particularly in computer vision and video understanding (e.g.

ZEISS is a global technology leader in optics and optoelectronics, providing innovative solutions in industrial metrology, microscopy, medical technology, and consumer optics.