Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Solve fundamental and applied research problems related to large-scale 3D dynamic scene reconstruction from real-world scenarios, scene synthesis using generative models, and combining reconstructive and generative methods to power AV simulations

Advance, adapt and scale state-of-the-art ML-based reconstruction methods, such as 3D Gaussian Splatting, to the problem of AV simulation

Prototype and iterate on various research ideas using Waymo's internal driving data

Scale and productionize simulation solutions in collaboration with engineering teams across Waymo

Present research findings to a wide audience within Waymo and Alphabet, with the possibility of publishing results to the research community