Senior Machine Learning Engineer, Simulation Evaluation

• Lead the design, development, and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodal 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, multimodal consistency, geometric discrepancy, condition following).
• 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.

• 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., * Track record of training large-scale generative models (diffusion models, flow matching, vision-language models, etc.).
• A PhD and demonstrated success delivering machine-learning products focused on 3D generative models, world models, or video generation.
• Experience simulating sensor data, including camera, lidar, and radar, or modeling semantic scenes.
• Experience developing autonomous systems, robotics software, or autonomous vehicle simulations.
• Experience training and optimizing large-scale models on GPU or TPU clusters for efficient production serving.
• Professional experience writing C++ for high-performance production systems.

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 mobility while saving thousands of lives lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. It has provided over ten million rider-only trips, driven more than 100 million miles on public roads and tens of billions in simulation across 15 + U.S. states., Waymo’s simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is “real”?