Research Scientist Intern, World Modelling
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El puesto
Embedded in a research team to advance generative world models for autonomous driving.
Develop controllable video diffusion models and efficient world models for realistic, interactive simulations of driving environments.
Focus on diffusion-based video generation, streaming world models, and geometrically accurate long-horizon rollouts.
Apply ideas from generative modeling, 3D vision, and efficient ML to real-world embodied AI problems.
Collaborate with researchers to test, iterate, and validate models using Python, PyTorch, NumPy, and Pandas.
Opportunities include publishing at top venues and delivering impact on autonomous driving capabilities.
Develop controllable video diffusion models and efficient world models for realistic, interactive simulations of driving environments.
Focus on diffusion-based video generation, streaming world models, and geometrically accurate long-horizon rollouts.
Apply ideas from generative modeling, 3D vision, and efficient ML to real-world embodied AI problems.
Collaborate with researchers to test, iterate, and validate models using Python, PyTorch, NumPy, and Pandas.
Opportunities include publishing at top venues and delivering impact on autonomous driving capabilities.
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