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Working Student Machine Learning Engineer - Mercedes-Benz Tech Innovation
ML Engineer
Join a leading automotive tech team as a Working Student Machine Learning Engineer, supporting research and development of AI models using Python, TensorFlow/PyTorch, and data analysis tools.
About the role
Key Responsibilities
- Assist senior engineers in designing, training, and evaluating machine‑learning models for mobility‑related applications.
- Prepare and preprocess large datasets, perform exploratory data analysis, and ensure data quality.
- Implement prototype algorithms in Python using frameworks such as TensorFlow or PyTorch.
- Collaborate with cross‑functional teams (software, hardware, product) to integrate AI solutions into existing pipelines.
- Maintain version control, documentation, and reproducible experiment workflows on Linux environments.
Requirements
- Enrolled in a Computer Science, Electrical Engineering, or related degree program (Bachelor or Master).
- Strong programming skills in Python and familiarity with machine‑learning libraries (TensorFlow, PyTorch, scikit‑learn).
- Basic understanding of supervised/unsupervised learning, neural networks, and model evaluation metrics.
- Experience with data preprocessing, visualization, and statistical analysis.
- Proficiency with Git and comfortable working in Linux/Unix environments.
Skills
pythonmachine learningtensorflowpytorchdata analysislinux