Internship Multimodal AI for Video Understanding (m/f/x)

As a student, you work with your colleagues on an equal footing and create ideal conditions for your future career. Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people. In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together. Join us today. Inspire people tomorrow. Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity. Apply now! It takes less than 10 minutes
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Welcome to ZEISS – a company that combines innovation and responsibility! Our corporate functions are diverse and make a decisive contribution to the strategic orientation and sustainable success of ZEISS.

Your role

At ZEISS Corporate Research & Technology, we are offering student positions (internship and/or master's thesis) starting from September 2026 in the area of multimodal AI and video understanding.

• You will work on research problems at the intersection of vision, language, and structured data, with a focus on developing models that can understand complex real-world scenarios such as surgical workflows

• The goal is to move beyond frame-level analysis towards holistic, temporally consistent representations that integrate multiple sources of information

• Your tasks Contribute to research on multimodal and video-based machine learning methods, develop and evaluate models for holistic video understanding (e.g. video-language models, temporal reasoning, multimodal fusion)

• Work with real-world datasets and problem settings from ZEISS applications, implement and analyze state-of-the-art approaches and extend them in a research-driven setting

Profil

• Enrolled in a Master's or PhD program in Computer Science, Machine Learning, or a related field in Germany

• Strong fundamentals in machine learning and deep learning

• Experience with Python and common ML frameworks (e.g. PyTorch)

• Interest in research and ability to work independently on open-ended problems

• Experience with video analysis, multimodal learning, or foundation models is a plus

What we offer

• Opportunity to work on cutting-edge research with real-world impact

• Close collaboration with research teams at ZEISS Corporate Research and Technology

• Possibility to transition from internship to master's thesis based on performance

• Access to challenging datasets and modern ML infrastructure

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

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