Research Intern, World Models and Synthetic Data for Autonomous Driving - Summer 2027
Core
Research intern developing generative world models and synthetic data to improve autonomous driving systems.
Role type
Research Intern (Autonomous Driving / Generative AI)
Builds
Generative world models, traffic world models, and synthetic driving scenarios for AV training.
Domain
Autonomous Driving, Generative AI, Computer Vision
Deliverable
production ML models
Required skills
Deep learning, Generative modeling, Computer vision, Python, Neural network development, Experiment design
Preferred skills
Video generation, Multimodal learning, 3D scene understanding, End-to-end learning, Large-scale dataset handling
Technologies
PyTorch, TensorFlow, CUDA, OpenCV, ROS
Responsibilities
Research and prototype generative world models and synthetic-data generation methods; Develop traffic world models capturing multi-agent interactions; Design and conduct experiments to evaluate AV model performance with generated data; Collaborate with researchers and engineers on research prototypes; Contribute to high-impact research publications.
Seniority
Intern
