Autonomous Driving Machine Learning Internship

About the role

Join Bosch's Autonomous Driving team as a Machine Learning intern and contribute to the development of next‑generation AI‑enabled robotics test systems that support self‑driving vehicle validation.

Key responsibilities

• Design, implement, and roll‑out components of a state‑of‑the‑art robotics test framework.
• Integrate AI features for test management and execution across diverse hardware setups.
• Develop data pipelines, train and validate models, and evaluate performance.
• Support integration, testing, and continuous operation of the framework in production environments.
• Research recent academic advances and assess their suitability for future framework versions.

Required profile

• Current student pursuing at least a Bachelor’s degree in Computer Science, Computer Engineering, Electrical/Electronic Engineering, or a related field.
• Strong programming skills in Python.
• Hands‑on experience with PyTorch for model development, training, and testing on Linux.
• Solid understanding of machine‑learning fundamentals and the full ML lifecycle.
• Familiarity with modern model architectures such as transformers, CNNs, LSTMs, and RAG.

Required skills

• Python
• PyTorch
• Linux
• Machine Learning
• Transformers
• Convolutional Neural Networks (CNN)
• Long Short‑Term Memory (LSTM)
• Retrieval‑Augmented Generation (RAG)

What we offer

• Hands‑on experience with cutting‑edge autonomous‑driving technologies.
• Mentorship from experts in AI, robotics, and automotive engineering.
• Opportunity to influence real‑world testing processes for self‑driving vehicles.
• Access to Bosch’s collaborative and innovative work culture.