Internship / Working Student in Computer Vision for Innovative Systems (f/m/x)

Your Role

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.

We are seeking passionate and talented students who are eager to shape next-generation products at ZEISS. Integrated into a team of scientists and research engineers, you will work on research projects in computer vision and machine learning and visual computing. These projects range from 2D object detection and 3D reconstruction to the application of foundation models.

What We Offer

• An opportunity to build the foundation for next-generation products

• The possibility to learn and implement cutting edge computer vision methods

• Mentorship by experienced PhD-level experts

• The option to write a master thesis following an internship or working student position

• The possibility of continuing employment as a working student for up to 2 years

• A unique opportunity to choose the topics that interest you most within an exciting project

• A modern working environment enabling hybrid work by offering remote workdays

• An opportunity to join a growing company with many career opportunities

Your Profile

• You are interested in technology and motivated to work on challenging tasks

• You are enrolled in a bachelor’s or master's degree in computer science specializing in computer vision, machine learning or similar

• You have a strong computer science background with very good coding skills in Python (C++ is a plus)

• You have first experience with Machine Learning and Computer Vision frameworks, in particular PyTorch and OpenCV

• You are willing to collaborate and work in interdisciplinary teams

• Good communication skills in English and/or German

• You are willing to learn and explore with a high degree of initiative and creativity

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, certificates/transcript of records etc.).

Your ZEISS Recruiting Team:

Franziska Gansloser