✨ About The Role
- The role involves developing deep learning models that utilize imitation learning and reinforcement learning to generate driving plans for autonomous vehicles.
- Collaboration with the Planner and Perception teams is crucial to advance overall vehicle behavior.
- The position requires leveraging large-scale machine learning infrastructure to discover innovative solutions in the field.
- The engineer will develop metrics and tools to analyze errors and understand system improvements.
- The job entails working closely with engineers from various teams, including Perception, Planning, and Simulation, to address complex urban driving challenges.
âš¡ Requirements
- A successful candidate will have a strong educational background, holding a BS, MS, or PhD in computer science or a related field.
- Experience in training and deploying transformer-based model architectures and reinforcement learning is essential.
- Proficiency in programming languages, particularly fluency in C++ or Python, is required, along with a basic understanding of C++.
- The ideal candidate will possess extensive experience in programming and algorithm design, coupled with strong mathematics skills.
- Prior experience in prediction, autonomous vehicles, or robotics will be considered a significant advantage.