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Internship in Machine Learning & AI for Future Interior starting April 2025

Mercedes-BenzBöblingen, DE

Vor 25 Tagen

Stellenbeschreibung

Tätigkeitsbereich : Forschung & Entwicklung incl. DesignFachabteilung : Future InteriorGesellschaft : Mercedes-Benz AGStandort : Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum : sofortVeröffentlichungsdatum : ..5Stellennummer : MER3K9OArbeitszeit : Vollzeit (teilzeitgeeignet) BewerbenAufgaben

Mercedes-Benz, a pioneer in the automotive industry, is opening its doors to an ambitious intern eager to rethink the world of sound. We offer a unique opportunity to push the boundaries of what is possible and be part of a team shaping the future of vehicle acoustics.

What We Offer :

An internship followed by a master's thesis in a highly innovative environment
The chance to work at the forefront of technological development and design groundbreaking audio solutions
A creative and dynamic team that values innovation and originality
Access to cutting-edge technologies and resources
A culture that encourages critical thinking, curiosity, and the freedom to pursue extraordinary ideas

Your Responsibilities :

Research and develop machine learning models for audio processing applications

Investigate and implement deep neural networks to extract meaningful audio representations from visual data

Work with state-of-the-art ML libraries and frameworks to build robust models

Optimize and evaluate model performance for real-world applications

Collaborate with an interdisciplinary team to integrate developed models into existing workflows

Document findings, methodologies, and results for academic and technical reporting

Qualifikationen

Currently pursuing a Master's degree in Informatics, computer Science, Electrical engineering, Data Science, audio communication or a related field.

Strong background in machine learning and deep learning techniques

Proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or Keras.

Familiarity with computer vision techniques and multimodal learning approaches

Knowledge of acoustics and audio signal processing is a plus.

Ability to work independently, think critically, and solve complex problems

Strong analytical skills and experience with data-driven model evaluation

Additional information :

Please find the criteria of employment .

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

BenefitsEssenszulagenMitarbeiterhandy möglichMitarbeiterrabatte möglichMitarbeiterbeteiligung möglichMitarbeiter EventsCoachingFlexible Arbeitszeit möglichHybrides Arbeiten möglichGesundheitsmaßnahmenBetriebliche AltersversorgungMobilitätsangebote

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