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 evaluation: approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo.
Architect and implement robust and scalable machine learning pipelines for: tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation.
Evaluate open-source and production-ready video generation techniques that: measure realism (e.g. temporal stability, multi-modal consistency, geometric discrepancy, condition following, etc.)
Apply vision language models to evaluate semantic understanding and: controllability across our world simulation products.
Collaborate with research teams across Waymo and Alphabet to integrate: advancements in 4D world modeling and generative AI into production systems.
Mentor engineers on the team and provide technical guidance on architecture and execution.
What they're looking for
- Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field.
- Five or more years of experience in machine learning engineering or applied: deep learning, supported by a portfolio of shipped products or peer-reviewed publications.
- Proficient programming skills in Python and hands-on experience with modern: machine learning frameworks such as Jax, Flax, or PyTorch.
- Experience designing and implementing evaluation frameworks for complex systems or machine learning models.
