Train machine learning models for robotic navigation, manipulation, and locomotion. Implement infrastructure to scale up the data engine’s ability to train on more data and more compute. Develop algorithmic advances to improve our models' sample efficiency and generalization capability. Work with the data collection team to improve their efficiency and evaluation processes. Interview hiring candidates for the AI team. Working with the software team to improve calibration and timing correctness of the robotics stack. Speeding up the data loader to increase training speeds. Implement data inspection tools to interpret AI models better. International travel required, 20%.
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Job Type
Full-time
Career Level
Senior