Working student Machine Learning Engineering (m/f/x)

Your tasks

As a working student (m/f/x) in machine learning engineering, you support the team in further developing large language models (LLMs) into multimodal models for audio and vision applications.

You research, create, and prepare high-quality multimodal data sets for the training and further development of the models. You also support the creation and management of data, training and evaluation pipelines in the cloud.

In fine-tuning existing base models, such as Qwen, you work with multimodal and capability-specific data. You deal with modern approaches such as RAG, tool calling, and agent behavior and support their use and further development.

In addition, you work together with experienced developers from different disciplines in an agile product development team and actively contribute your ideas.

Your profile

• You study computer science, data science, artificial intelligence, machine learning, or a comparable course of study.
• You have experience in software development with Python and in training deep learning and machine learning models.
• You understand how large language models work and are trained and are interested in their further development and practical application.
• Ideally, you have practical experience creating data sets, such as data preprocessing, filtering, or augmentation, or programming LLM-supported applications.
• Experience with cloud development and platforms such as Databricks or Azure is an advantage.
• You have good written and spoken German and English skills.
• Your complete application should include a cover letter, curriculum vitae, overview of grades, enrollment certificate, and, where applicable, residence permit or work permit.

Benefits

• Hybrid work possible
• Mobile phone for employees possible
• Health benefits
• Employee discounts
• Employee events
• Meal discounts
• Lifelong learning
• Mobility offers
• Annual profit share possible
• Coaching
• Company retirement plan
• Flextime possible
• Good public transport connections
• Canteen and café
• Parking
• Barrier-free workplace

Contact

Mercedes-Benz Tech Innovation GmbH
Albert-Nestler-Str. 117
76131 Karlsruhe
E-mail: mbti-career@mercedes-benz.com