Machine Learning Working Student (all genders) - Hybrid, Berlin at dida

dida is hiring a Machine Learning Working Student to support its interdisciplinary team on applied machine learning tasks ranging from research projects to industry products. The role involves computer vision, natural language processing, deep learning, applied statistics, and programming in Python, Julia, or similar languages. The student will work 15–20 hours per week in a hybrid arrangement in Berlin Schöneberg, with a commitment to remain in Berlin for at least 1.5 years. Applicants should be studying mathematics, physics, or computer science, have strong grades in mathematically oriented subjects, and submit a CV, degree(s), and transcripts where applicable.