Jesse Levinson co-founded Zoox in 2014 and is the company's Chief Technical Officer (CTO). He joins Scale AI’s Head of Nucleus, Russell Kaplan, for a fireside chat to discuss the challenges of bringing a completely autonomous vehicle stack (vehicle platform + sensors) from the lab to real-world streets for autonomous ride-sharing vehicles. Together Jesse and Russell explore the biggest obstacles that need to be solved when making robot taxis. How do you train a model to generalize for the unknown? How can a model respond to new challenges safely or plan a new response in real-time? What are the limitations in perception for different sensor types? As you train a model to learn edge cases and scenarios, how do you prevent regression in other areas? Jesse shares how Zoox uses simulation to take advantage of real-world data to perform realistic testing at scale. Join this session to hear Zoox's insights on taking an entire end-to-end technology stack from experimentation to reality.