Leveraging MLOps to Accelerate Autonomous Vehicle Development


Zoox is developing a ground-up robotaxi designed for AI to drive and riders to enjoy. Without a human driver, the Zoox robotaxi relies on an array of sensors and sophisticated ML algorithms to perceive and navigate the world around it. To enable the Zoox robotaxi to continually learn, it is critical to have a well-oiled MLOps ecosystem that can facilitate both model-centric and data-centric ML development. In this talk, RJ He, Director of Perception at Zoox, will share how Zoox is building the ML machinery that will enable Zoox to deploy and scale robotaxis across multiple geofences and operational domains.

The audience can expect to learn the unique challenges of building an MLOps ecosystem to accelerate autonomous vehicle development, as well as how they can integrate Zoox’s innovative insights into their own projects.


RJ He is Zoox's Director of Perception, where he is responsible for Zoox robotaxi's ability to see and understand the world around them. He also leads the Zoox Boston office to assemble a world-class team of AI engineers. RJ was previously co-founder & CEO of Strio AI, an agriculture robotics startup, as well as VP Eng at Optimus Ride, an AV startup. RJ has also commanded a mechanized infantry unit, and holds an MIT PhD in autonomous systems.

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