Nokia sucht einen motivierten und talentierten Werkstudenten (AI FES) zur Unterstützung des AI-FES Projekts in Ulm. Der Fokus liegt auf der Empfehlung von Code-Dateien basierend auf historischen Features unter Nutzung neuronaler Codesuche. Der Werkstudent wird an der Entwicklung eines Embedding-Modells zur Verknüpfung von Code und Anforderungen arbeiten und dieses in einem Proof of Concept integrieren. Die Stelle bietet die Möglichkeit, an innovativen KI-Anwendungen mitzuwirken und wertvolle Erfahrungen im Bereich LLMs und Embedding-Modelle zu sammeln. Nokia bietet ein inklusives Arbeitsumfeld mit vielfältigen Lern- und Entwicklungsmöglichkeiten.
Join a dynamic team and project under the AI-FES (AI in Feature Effort Support) initiative, registered with the MN RAN AI Project Steering Team. This internship focuses on leveraging neural code search to recommend code files based on historical features, akin to new feature development.
Position: AI FES - Working Student
Duration: 6 months, with potential for extension
Weekly Time Allocation: 10-20 hours
Location: Ulm, Germany
Start Date: 15.June 2025
Education Recommendation: Master's student or above preferred
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