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We’re looking for a curious and motivated World Modelling Intern to help advance the next generation of generative world models for autonomous driving. In this role, you’ll work embedded in a research team to build controllable video diffusion models and efficient world models that enable realistic, interactive simulations of complex driving environments.
Job Responsibility:
Help advance the next generation of generative world models for autonomous driving
Work embedded in a research team to build controllable video diffusion models and efficient world models that enable realistic, interactive simulations of complex driving environments
Requirements:
Currently pursuing a PhD or Masters in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on Machine Learning, AI, or Computer Vision
Experience in research with one or more of: generative models, world modelling, 3D vision, diffusion models, or efficient ML
Interest in synthetic data, simulation-to-reality transfer, representation learning, or model scaling
Comfortable working in Python and libraries like PyTorch, NumPy, and Pandas
An experimental mindset: you enjoy building, testing, and iterating on ideas to see what works
Nice to have:
Experience collaborating on research projects or contributing to shared codebases
Publications or submissions at venues such as CVPR, ICCV, CoRL, NeurIPS, ICML, ICRA, or RSS are a nice bonus, but not required
What we offer:
Competitive compensation and benefits
A dynamic and fast-paced work environment in which you will grow every day
A culture that is ego-free, respectful and welcoming
Potential to publish your research work at a top flight conference
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