Internship in AI & Machine Learning (f/m/x)

Motivation of the Work Turning today’s research into tomorrow’s applications, together. At ZEISS, we focus on user-centric innovation to transform ideas into cutting-edge solutions. The ZEISS Innovation Hub @ KIT brings together students, researchers, and industry professionals to advance AI, computer vision, and machine learning in application-oriented projects. Your Role We are looking for highly motivated students to develop AI-based solutions for real-world vision tasks, including agricultural solutions, from data collection, simulation-based data generation, and model development to deployment on target devices. This internship provides hands-on experience across the full ML pipeline, including vision foundation models, data preprocessing and curation, quantization-aware training, edge-device deployment, and performance evaluation. - Develop an efficient and reproducible workflow for application-oriented machine learning solutions. - Be involved in sample preparation and data acquisition in the laboratory for full data ownership - Implement quantitative metrics to assess and optimize data preprocessing quality and guide relabeling efforts - Curate, structure, and version datasets for reproducible experiments - Build data preprocessing pipelines for AI and machine learning workflows - Generate and evaluate simulation-based or synthetic data - Run hyperparameter and model studies in a traceable environment. - Automate embedded-device tests and optimize accuracy and speed. We Offer - A dynamic and interdisciplinary environment - Hands-on experience with real-world image, sensor, and simulation-based data, foundation models, model quantization, and edge deployment - Learn how to set up a full machine learning pipeline - Close mentorship from experts in deep learning - An agile work environment Your Profile - Enrolled in a Bachelor’s or Master’s program in computer science, mathematics, physics, AI, or related fields - Strong programming skills in Python and PyTorch - Solid understanding of software development principles - Fundamental knowledge of data preprocessing steps for computer vision and vision foundation models - Familiarity with AI/ML concepts (e.g., supervised learning, deep learning architectures) is a plus - Experience with edge-device deployment and model quantization is a plus - Creative, pragmatic, and self-motivated with strong analytical skills - Capable of working independently as well as in a team-oriented environment - Excellent communication skills in English or German - Passion for innovation, enthusiasm for new technologies, and motivation to contribute to interdisciplinary projects Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.). Your ZEISS Recruiting Team: Selina Safradin