Driving Foundations Research Intern
Core
Conduct novel research in end-to-end autonomous driving, reinforcement learning, and foundation model distillation to enable real-world deployment of AI systems for mobility.
Role type
Research Intern (Autonomous Driving & AI)
Builds
Research prototypes and scientific publications for autonomous parking and driving systems
Domain
Autonomous driving, robotics, computer vision, machine learning
Deliverable
research
Required skills
Python, modern AI/ML frameworks, end-to-end systems, reinforcement learning, self-play, experimental design, data analysis
Preferred skills
Top-tier AI/robotics publications, autonomous driving architectures, multi-modal foundation models, real-time systems, autonomous driving benchmarking
Technologies
Python, modern AI/ML frameworks
Responsibilities
Conduct novel research in E2E, Distillation, and RL methods; Develop research prototypes; Collaborate with researchers; Analyze experimental results; Publish in top-tier conferences (CoRL, ICRA, CVPR, NeurIPS, ICML, ICLR); Present findings internally and externally
