AI Researcher (AV) Internship (PhD Student)
Core
Research and prototyping of advanced machine learning methods (foundation models, vision-language architectures, diffusion models) to improve perception, prediction, or decision-making for autonomous driving.
Role type
AI/ML Research Intern (PhD Student)
Builds
Multimodal foundation models and controllable world models for L3 autonomy
Domain
Autonomous Vehicles / Machine Learning
Deliverable
research
Required skills
Deep learning architectures (transformers, generative models), Python, PyTorch or TensorFlow, self-supervised learning, imitation learning, reinforcement learning
Preferred skills
Autonomous vehicles or ADAS experience, large-scale dataset training, HPC environments, first-authored publications at top conferences (NeurIPS, CVPR, etc.)
Responsibilities
Lead research and prototyping of advanced ML methods; Prototype ML models for perception/prediction/decision-making; Collaborate with cross-functional teams; Participate in technical discussions and publish results
Seniority
Intern
