Implementing new model architectures, creating full-stack infrastructure to accelerate our data engine, or creating novel methods for assessing general-purpose robot policies are all part of a typical workday. By training and scaling deep neural networks for manipulation, navigation, and locomotion on actual robot hardware, you will increase our androids' success rate and range of abilities.
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