Research Scientist in Probabilistic Modeling - (Chicago, IL)

- Development and implementation of novel machine learning algorithms with focus on industrial application domains - Algorithmic focus on probabilistic machine learning approaches, e.g. probabilistic graphical models, (sparse) kernel methods, approximate inference techniques, latent variable models, etc. - Evaluation and comparison of machine learning algorithms for real-world applications, e.g. future mobility solutions, electric driving, connected manufacturing, etc. - Technical discussions and creation of new ideas & applications within the machine learning research team at Bosch Center for AI (BCAI, https://www.bosch-ai.com/) - Close contact to the scientific machine learning communi ...