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In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.
Job Responsibility:
Train, fine tune, and deploy visual and language foundation models across our stack
Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential
Requirements:
Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.
Strong software skills
Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations