Develop applied deep learning algorithms for autonomous perception systems, including object classification/detection/segmentation/tracking/prediction with LiDAR and/or image.
Work with the team on the whole data process of data collecting, mining, annotation, and quality assessment to ensure good dataset quality for model training.
Work with the team to optimize, deploy, and fast iterate deep models to autonomous vehicles.
Requirements & Skills:
Master’s or PhD in Computer Science / Engineering, Electronics or equivalent.
Able to write neat python/C++ code, and solve problems independently with certain supervision.
Familiar with Machine Learning / Computer Vision / point cloud processing.
Proficient in PyTorch/TensorFlow.
Related hands-on experience will be a strong plus for the role, including CNN, Transformer, tracking, model optimization and deployment, and TensorRT/CUDA.
Good critical thinking capability, and analytical mindset to tackle new problems.
