1.Modeling the interaction between the truck and other road agents and predict agents trajectories using machine learning algorithms
2.Improve how the truck acts and reacts in complex and nuanced situations with prediction uncertainty
3.Optimize software to run robustly under tight run-time constraints, and work with experts in machine learning to optimize deep net performance
4.Implement user friendly tools to search through data sets, evaluate performance,and analyze evaluation results
岗位要求
1.MS degree in Computer Science, Robotics, similar technical field of study,or equivalent practical experience
2.Experience programming in Python/C++
3.Experience in at least one of: robotics research in motion planning and control (e.g., trajectory optimization, planning under uncertainty,
probabilistic robotics, optimal control, guidance, navigation and control,etc.), data analysis at scale, machine learning at scale
加分项
1.Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN, VAE, GAN, etc.)
2.Experience in applying ML for planning/prediction or control problems (e.g. Imitation Learning, Behavior Prediction, Reinforcement Learning)
3.Experience with deploying Deep Learning models for real-time applications,or other resource constrained setting