At Bosch, the business problem is to make autonomous vehicles a reality by solving the hardest problems in the development and productization of automated driving.
Requirements
- 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
Responsibilities
- 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
Other
- 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 communication and team collaboration skills
