Automated Driving Machine Learning Intern

Bosch Group • Sunnyvale, CA

3d • $32 - $63

About The Position

We are seeking an individual to conduct advanced engineering in 3D perception and machine learning to address challenges in automated driving. The candidate will have the opportunity to:
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

• Currently pursing a Masters. or Ph.D in Computer Science or Engineering
• 1+ years of research and engineering experience for computer vision and machine learning algorithms (e.g. DNN, RNN, GNN, GAN, ViT, etc).
• 1+ years of research and engineering experience working with VLM/LLM architectures.
• Knowledge of automated driving software stack components (e.g. Perception and Localization).
• Programming experience in Python and C++, and hands-on experience with libraries such as PyTorch and OpenCV.
• Demonstrated willingness and ability to learn and grasp new concepts quickly.
• Self-starter and self-motivated.
• Minimum GPA of 3.0

Nice To Haves

• 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.

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.

What This Job Offers

• Career Level: Intern