Master Thesis Test Optimization Generative AI (f/m/x)

We, the BMW Group, offer you an interesting and varied Master thesis in the area of Benchmarking Generative AI. Work with us on turning science fiction into reality with industrial applications of latest advances in machine learning, computer vision, natural language processing and human interaction. We are extending our team of experienced AI developers with a Master thesis student in this rapidly developing field at the crossroads of AI, specifically Generative AI, machine learning, linguistics and general computer science. What awaits you? You will work on an exciting project at the intersection of Generative AI, machine learning, natural language processing and computer vision. The goal of this research will be to develop advanced benchmarking algorithms for evaluating the performance of systems based on Generative AI in the context of in-car human-machine interaction. You will develop advanced algorithms and applications with a particular focus on highly automating human evaluation and testing of in-car human-machine interaction. What should you bring along? Bachelor's degree in electrical engineering, computer science, mathematics, physics, engineering, computational linguistics or a comparable qualification. Very good programming skills in Python 3 as well as substantial experience with TensorFlow or PyTorch, Sklearn, Docker, Spacy, OpenCV. Practical knowledge of deep-learning techniques and frameworks, with a focus on natural language processing and/or computer vision. Understanding in Multi-Criteria Decision Making/Optimization. Business-fluent English. German proficiency is a plus.

The BMW Group is one of the most successful premium manufacturers of cars and motorcycles in the world with its BMW, MINI and Rolls-Royce brands. As a global company, we operate 31 production and assembly facilities in 15 countries and have a global sales network in more than 140 countries.