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

Life is always about becoming... Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job ID: MER0003K9O Mercedes-Benz, a pioneer in the automotive industry, is opening its doors to an ambitious internal 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 freedom the 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

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 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: It doesn't work without completely formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as ''relevant for this application' in the online form. Please find the criteria of employment ''here'. Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit. We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: SBV-Sindelfingen@mercedes-benz.com Please understand that we no longer accept paper applications and that there is no right to get your documents. If you have any questions regarding the application process, please contact HR Services by e-mail at myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).

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