Senior/Staff ML Engineer, 3D/4D World Modeling, Simulation

MOUNTAIN VIEW, CALIFORNIA, UNITED STATES

FULL-TIME

SOFTWARE ENGINEERING

3394

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 now 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. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and research scientists. We develop industry-leading simulation solutions using advanced ML algorithms, including generative and reconstructive techniques, to model the real world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, Radar).

To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We employ state-of-the-art ML technologies such as diffusion models, flow matching, 3D Gaussian Splatting (3DGS) and Vision Language Models (VLMs) trained on large-scale datasets.

In this role, you will report to a Senior Staff Engineering Manager.

You will:

• 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.
• 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 simulated worlds, focusing on product impact.
• 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.
• Collaborate closely with world class research teams across Waymo and Alphabet to transfer State-of-The-Art research in 3D world modeling and generative AI into robust, production-ready solutions.
• Collaborate closely with world class research teams across Waymo and Alphabet to operationalize the latest advancements in 3D world modeling and generative AI, driving the evolution of core technology from research concepts to robust, production-ready solutions
• Mentor and provide technical guidance to other engineers on the team.

You Have:

• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
• 5+ 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.
• Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting, NeRF).
• Strong programming skills in Python and experience with ML frameworks such as Jax/Flax, PyTorch or Tensorflow.

We Prefer:

• PhD and a strong track record of research or product development in 3D generative models, world models, or video generation.
• Experience in simulating sensor data (Camera, Lidar, Radar) and/or semantic scenes.
• Experience with autonomous systems, robotics, or autonomous vehicle simulation.
• Experience in training and optimizing large scale models on GPU/TPU clusters for efficient serving.
• Experience in C++ for production systems.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$204,000—$259,000 USD