锦鲤求职岗位描述
In this role you will:
Modeling the interaction between the truck and other road agents and predict agents' trajectories using machine learning algorithms
Improve how the truck acts and reacts in complex and nuanced situations with prediction uncertainty
Optimize software to run robustly under tight run-time constraints, and work with experts in machine learning to optimize deep net performance
Implement user friendly tools to search through data sets, evaluate performance, and analyze evaluation results
What you'll bring:
MS degree in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
Experience programming in Python/C++
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
Preferred qualifications:
PhD degree in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN, VAE, GAN, etc.)
Experience in applying ML for planning/prediction or control problems (e.g. Imitation Learning, Behavior Prediction, Reinforcement Learning)
Experience with deploying Deep Learning models for real-time applications, or other resource constrained setting