Research Scientist, Computer Vision (Learning From Videos)
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Lead high-impact research in video generation, spatio-temporal representation learning, world models, and multi-modal foundation models to improve dynamic scene understanding for robots.
Develop and train models on large-scale real and synthetic data, including differentiable rendering and 4D reconstruction.
Validate contributions on established benchmarks and integrate into scalable systems for robotics and autonomous driving scenarios.
Collaborate with cross-disciplinary teams and mentors, publish results at top venues, and contribute to open-source code.
Translate research into deployable algorithms and models, working with robotics and ML teams to enable world-scale autonomy.
Drive new research directions with a focus on reliability, openness, and integrity.
Develop and train models on large-scale real and synthetic data, including differentiable rendering and 4D reconstruction.
Validate contributions on established benchmarks and integrate into scalable systems for robotics and autonomous driving scenarios.
Collaborate with cross-disciplinary teams and mentors, publish results at top venues, and contribute to open-source code.
Translate research into deployable algorithms and models, working with robotics and ML teams to enable world-scale autonomy.
Drive new research directions with a focus on reliability, openness, and integrity.
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