The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
Lead the design, development and deployment of cutting-edge 4D world models: and generative systems for ultra-realistic and controllable sensor and semantics generation for simulation use cases at waymo.
Architect and implement scalable and robust ML pipelines for training,: evaluating, and deploying large-scale generative models into our simulation infrastructure, including techniques like model distillation and quantization.
Build and scale production-ready video generation techniques (e.g.,: Diffusion, Flow Matching) to create dynamic and interactive simulation environments.
Apply Vision Language Models (VLMs) to enhance the semantic understanding and: controllability of our world simulation products.
Partner with world class research teams across Waymo and Alphabet to leverage: State-of-The-Art research in 4D world modeling and generative AI into robust, production-ready solutions.
Mentor and provide technical guidance to other engineers on the team.
What they're looking for
- MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
- + years of experience in ML engineering and applied Deep Learning, with a: strong portfolio of shipped products or publication record.
- Proven experience in developing and training large-scale generative models: for video generation (e.g., Diffusion models, Flow Matching) or Vision Language Models (VLMs) and their applications.
- Deep expertise in 3D World Modeling or 3D computer vision.