Automated Driving Machine Learning Intern, Bosch

Responsibilities:

• design and extend state-of-the-art machine learning models, for specific ADAS applications.
• create and curate internal datasets.
• adapt existing models trained using public datasets to use internally generated data.
• perform large-scale data processing.
• perform basic data mining.
• evaluate and document model performance of different methods.

Requirements & Skills:

• M.S. or Ph.D student in Computer Science or Engineering
• 1+ years of research and engineering experience in computer vision and machine learning algorithms (e.g. DNN, RNN, GNN, GAN, ViT, etc).
• 1+ years of research and engineering experience working with transformer-based ML architectures
• Knowledge of automated driving software stack components (e.g. Perception, Localization, Object Fusion, Planning, Motion Control, etc).
• Programming experience in Python and C++, and hands-on experience with libraries such as PyTorch.
• Demonstrated willingness and ability to learn and grasp new concepts quickly.
• Self-starter and self-motivated.
• Experience working with open-source autonomous driving datasets.
• Experience with geographic data (WGS84/UTM).
• Experience working with various sensor modalities including cameras and LiDAR.
• Experience developing deep learning architectures and performing model optimization.