Research Scientist, Computer Vision (Learning From Videos)
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El puesto
Lead cutting-edge computer vision research focused on video generation, spatio-temporal representations, and world models for embodied robotics.
Develop foundation and multi-modal models that reason over 4D scenes and enable reliable real-world deployment on robotic systems.
Train and evaluate models at scale using large-scale real and synthetic datasets; publish in top conferences.
Collaborate with cross-disciplinary teams, mentor interns, and transfer algorithms to production for long-term autonomy.
Contribute to simulation, differentiable rendering, and perception-prediction-planning pipelines for robotics and autonomous driving.
Demonstrate strong programming in Python and PyTorch, with experience in distributed training on cloud platforms such as AWS.
Develop foundation and multi-modal models that reason over 4D scenes and enable reliable real-world deployment on robotic systems.
Train and evaluate models at scale using large-scale real and synthetic datasets; publish in top conferences.
Collaborate with cross-disciplinary teams, mentor interns, and transfer algorithms to production for long-term autonomy.
Contribute to simulation, differentiable rendering, and perception-prediction-planning pipelines for robotics and autonomous driving.
Demonstrate strong programming in Python and PyTorch, with experience in distributed training on cloud platforms such as AWS.
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