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# Senior Machine Learning Engineer, Simulation Evaluation

- **Company:** Waymo LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Computer Programming, Python (Programming Language), Machine Learning, Language Modeling, Open Source Technology, Robot Operating System, Pytorch, Deep Learning, Information Technology, Lidar
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_26a11970d796b4972f118d91a1e40ab2

## About the Role

* 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.

## Description

* 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.