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Internship in Machine Learning / Reinforcement Learning for Control Engineering - Bosch Gruppe
ML Engineer
Internship focused on developing and deploying reinforcement‑learning algorithms for advanced control systems, leveraging Python and MATLAB to create innovative solutions in a dynamic engineering environment.
About the role
Key Responsibilities
- Design, implement, and evaluate reinforcement‑learning models for control‑system applications.
- Collaborate with cross‑functional teams to integrate ML solutions into existing engineering workflows.
- Conduct experiments, analyze results, and iterate on algorithmic improvements.
- Document findings and present progress to stakeholders.
- Assist in the deployment of prototypes in simulation and real‑world testbeds.
Requirements
- Strong foundation in machine learning and reinforcement learning concepts.
- Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch).
- Knowledge of control theory and experience with MATLAB/Simulink.
- Excellent analytical and problem‑solving skills.
- Effective communication and teamwork abilities.
Skills
machine learningreinforcement learningpython