HATCI Autonomous Driving Software (ADS) Department is seeking an ADAS Machine Learning intern who is interested in acquiring hands-on experience processing large-scale datasets to support training of deep neural networks for perception (object detection, image classification, segmentation etc) and/or end-to-end driving models. The intern will assist the ADS team with building ML models through processing, curation, analysis and utilization of large-scale sensor data (e.g cameras, radars, IMU, LiDAR)WHAT YOU WILL DO Help with image labeling and annotation tasks for training deep neural network perception models Find uniqueness and similarities in data by using unsupervised clustering methods and report findings to ML engineers in our team Support test vehicle instrumentation and data acquisition tasks Develop tools to automated data ingestion and processing tasks Assist developing new ML models particularly focusing perception tasks such as object detection and classification HOW WILL YOU MAKE AN IMPACT Create, curate and analyze large vision and/or multi-modal datasets Assist with development of AI/ML models for perception and end-to-end models Assist with test vehicle instrumentation and in-vehicle data logging to support our ML workflow Creation of technical reports and presentations to explain and document the results WHAT YOU WILL BRING TO THE ROLE Currently pursuing a full-time undergraduate engineering degree with a focus on computer science, machine learning, computer vision, data science or a related field Knowledge of fundamentals in data analysis and exposure or willingness to learn or expand their knowledge machine learning workflows Curiosity and a willingness to learn large-scale data processing for building environment perception models for assisted / autonomous driving software development Experience programming in Python or C++