Internship Machine Learning & AI for Future Interior

Tätigkeitsbereich : Forschung & Entwicklung incl. DesignFachabteilung : Future InteriorGesellschaft : Mercedes-Benz AGStandort : Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum : ..6Veröffentlichungsdatum : ..5Stellennummer : MER3W6LArbeitszeit : Vollzeit 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 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

The activity can start from March 6.

Qualifikationen

Studies in the field of 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 :

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 criteria .

BenefitsEssens­zulagenMit­arbeiter­handy möglichMit­arbeiter­rabatte möglichMit­arbeiter­beteili­gung möglichMit­arbeiter EventsCoachingFlexible Arbeits­zeit möglichHybrides Arbeiten möglichGesund­heits­maß­nahmenBetrieb­liche Alters­ver­sorgungMobilitäts­angebote

We need your consent to load the Youtube service!

We use a third party service to embed video content that may collect data about your activity. Please review the details and accept the service to watch this video.

This content is not permitted to load due to trackers that are not disclosed to the visitor. The website owner needs to setup the site with their CMP to add this content to the list of technologies used.

Powered by