Intern in Machine Learning for Autonomous Driving

Job Description

At Bosch, “Invented for Life” is what drives us and our vision of global future mobility. Bosch has an outstanding track record on pioneering key technologies worldwide which shapes the way we move. The next big milestone in our sight is to make autonomous vehicles a reality, bringing its benefits to today's roads.

We are looking for students in the machine learning space who are interested in solving the hardest problems in the development and productization of automated driving with us.

We are looking for an accomplished student in the ML space with strong technical skills to work with us on the design, implementation, training and roll-out the next generation of AI-enabled robotics test system, a core component of the realization of self-driving vehicles. As an intern on the team, you will be working on all important aspects of the implementation to enable our R&D teams.
 

Responsibilities include:

• Design, implement and roll-out important aspects of our state-of-the-art robotics test framework, enabling the execution of sophisticated test campaigns on various hardware setups
• Define and execute the integration of AI features for test management and execution
• Work on data pipelines, model training and validation, and performance evaluation
• Support the integration and testing of our framework, as well as its continuous operation in production
• Continuously drive innovation by bringing the latest developments in academia to the table and evaluate them as potential candidate for the next version

Qualifications

Minimum Qualifications:

• Currently pursing a Bachelor's, Masters, or PhD degree in CS, CE, E/E or comparable related to ML/AI
• Minimum GPA of 3.0
• 18 years or older
• Strong coding skills in python
• Hands-on experience with Pytorch for model development, training and testing in a Linux environment
• Solid understanding of machine learning fundamentals and hands-on experience with training and fine-tuning models.
• Strong understanding of the machine learning lifecycle—from data preprocessing and model training to evaluation, deployment, and monitoring
• Experience with state-of-the-art model architectures, including transformers, CNNs, LSTMs, RAG…
• Familiarity with raw data as well as meta-data management system (e.g. Databricks)
• Experience with machine learning platforms like Azure ML
• Usage of modern API frameworks as well as MCP servers
• Strong communication and team collaboration skills

Bonus points:

• Familiarity with open-source Robot Framework
• Understanding of the technologies behind self-driving vehicles and/or general robotics
• Familiarity with agile working methodologies and tools (e.g. ADO)
• Strong feel of ownership for high quality results