2027 Summer Intern, PhD, Research, VLM Harnesses for AV Planning
Core
Design and implement scenario preprocessors and postprocessors to harness Vision-Language Models (VLMs) for autonomous vehicle planning and control.
Role type
Summer Research Intern (PhD level)
Builds
VLM-based driving harnesses for closed-loop autonomous driving simulation and planning
Domain
Autonomous driving, Machine Learning, Computer Vision
Deliverable
production ML models
Required skills
Deep Learning, Computer Vision, Generative Models, VLMs, Multimodal prompting, JAX, PyTorch, Coding agents
Preferred skills
Publications at top-tier ML/CV conferences, Experience with autonomous driving simulation and planning
Responsibilities
Design scenario preprocessors (visual rendering, scene representations), Develop postprocessors for safe trajectory generation, Evaluate VLM harnesses in simulation, Conduct cutting-edge research
Seniority
Intern