Episode 33: Domain Randomization in Robotics with Josh Tobin

Josh Tobin is the founder and CEO of a stealth machine learning startup. Previously, Josh worked as a deep learning & robotics researcher at OpenAI and as a management consultant at McKinsey. He is also the creator of Full Stack Deep Learning (fullstackdeeplearning.com), the first course focused on the emerging engineering discipline of production machine learning. Josh did his Ph.D. in Computer Science at UC Berkeley, advised by Pieter Abbeel.

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Datacast follows the narrative journey of founders, operators, and investors in the data and AI infrastructure space to unpack the careers that they have built. James Le hosts the show.