Autonomous Driving - Algorithm Engineer - Behavior/Trajectory Prediction


  • Develop obstacle trajectory prediction algorithm, and evaluate its performance based on delivery scenes
  • Apply kinematics-based and Deep Reinforcement Learning based methods to solve the problem, and deal with noisy, uncertain, and incomplete information
  • Employ large amount of annotation data to improve prediction performance; deploy models and methods to vehicle, perform on-road testing
  • Collaborate with other teams to solve real-world problems in autonomous driving for logistic delivery scenes

Basic Qualifications

  • Master or PhD in Computer Science, Robotics or EE major, with more than 3 years of experience
  • Experience in non-linear state estimation, probability and numerical optimization
  • Experience in training Deep Learning based prediction model with TensorFlow or Pytorch, and hyper-parameter tuning
  • Experience with Deep Learning Models (e.g. RNN/LSTM, CNN, VAE, GAN, etc.) and Deep Reinforcement Learning
  • Expert in C++ and Python with robust and efficient code is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

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