Internship Machine Learning & AI for Future Interior

Mercedes-Benz Group AG

71032 Böblingen - Deutschland

Informatiker/in Praktikum/Trainee/Werkstudent Vollzeit ab 01.03.2026

Beschreibung

Tätigkeitsbereich: Forschung & Entwicklung incl. Design
Fachabteilung: Future Interior
Gesellschaft: Mercedes-Benz AG
Standort: Böblingen
Startdatum: 01.03.2026
Veröffentlichungsdatum: 01.03.2026
Stellennummer: MER0003W6L
Arbeitszeit: full time

Aufgaben

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:

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An internship in a highly innovative environment

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The chance to work at the forefront of technological development and design groundbreaking audio solutions

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A creative and dynamic team that values innovation and originality

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Access to cutting-edge technologies and resources

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A culture that encourages critical thinking, curiosity, and the freedom to pursue extraordinary ideas

Your Responsibilities:

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Research and develop machine learning models for audio processing applications

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

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

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Optimize and evaluate model performance for real-world applications

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

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

The activity can start from March 2026.

Qualifikationen

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Studies in the field of informatics, computer science, electrical engineering, data science, audio communication or a related field

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Strong background in machine learning and deep learning techniques

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

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Familiarity with computer vision techniques and multimodal learning approaches

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Knowledge of acoustics and audio signal processing is a plus

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

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Strong analytical skills and experience with data-driven model evaluation

Additional Information:

We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as "relevant for this application" in the online form and observe the maximum file size of 5 MB.

You can find further information on the hiring criteriahere .

Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (SBV-Sindelfingen@mercedes-benz.com) will gladly support you in the application process.

HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email atmyhrservice@mercedes-benz.comor by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm).

Benefits

-Coaching
-Mobilitätsangebote
-Mitarbeiter Events
-Mitarbeiterrabatte möglich
-Mitarbeiterbeteiligung möglich
-Mitarbeiterhandy möglich
-Essenszulagen
-Gesundheitsmaßnahmen
-Hybrides Arbeiten möglich
-Betriebliche Altersversorgung
-Flexible Arbeitszeit möglich

Kontakt

Daniel Fuhrmann
Email: daniel.d.fuhrmann@mercedes-benz.com
Leibnizstr. 2
71032 Böblingen

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