Machine Learning TLM, Simulation Realism

The Simulator Team at Waymo builds simulations of realistic environments for testing and training the Waymo Driver. We are a diverse,, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.

To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems.

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

You will:

• Lead a top-tier applied ML team focused on building ML-driven especially Generative AI (GenAI) simulation solutions to accelerate Waymo’s growth.
• Develop remarkable ML and software engineers in an exciting, fast-paced, and diverse environment.
• Set technical direction for the team and Guide the whole lifecycle of product innovation: 
  • Create quarterly and annual technical roadmaps that meet product requirements and guide the team’s efforts towards those goals. 
  • Work with other departments to align execution with product goals.
  • Collaborate with technical leads, product managers, and program managers to lead and complete broad plans.

You have:

• PHD or M.S. in CS, EE, Deep Learning or related fields
• 7+ years of experience leading engineering teams of 5-15 people
• Academic foundation and industrial expertise in machine learning, with the ability to assess technical trade-offs and their impact on project scope, risk, and timelines
• 7+ years of hands-on experience building and deploying machine learning products in production environments
• 7+ years of experience applying machine learning to solve complex challenges.
• Exposure to and practical knowledge of generative AI technologies.

We prefer:

• Direct experience in Generative AI, with expertise in multi-modal foundation models and Diffusion models