Job description

Job Responsibilities:

  • Develop and deploy vision/point-cloud based models for autonomous driving perception, including object detection, semantic/instance segmentation, multi-task learning, etc.
  • Develop and maintain large scale distributed training codebase and system.
  • Automated model optimization using AutoML, NAS algorithms.
  • Data curation by designing / optimizing data storage and labeling pipelines.
  • Corner case mining for difficult / rare cases.
  • Active learning and semi-supervised learning to improve model performance with less labeling cost.
  • Work with cross-functional teams in Beijing, Shanghai and Singapore.

Job Requirements:

  • Major in computer science or related technical disciplines.
  • Highly competent in data structures, programming and algorithms. Familiar with Linux, C++ and Python.
  • Experiences with computer vision and deep learning algorithms. Experienced with Pytorch or TensorFlow.
  • Experience with large scale distributed model training systems.
  • Bonus - Publications in top conferences like ICML, NeurIPS, AAAI, CVPR, ICCV, ECCV, etc.
  • Bonus - Experience with robotics and/or autonomous driving.

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