Internship Machine Learning & AI for Future Interior

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Mercedes-Benz AG
Munkavégzés helye

Hibrid

Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- ACCESS PYTHON MACHINE LEARNING
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

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 2026.

Requirements

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 here.

Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (

HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at