The opportunity
Waymo’s simulator is one of the most complex virtual environments ever built, blending deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. Within this cutting-edge ecosystem, the Simulator Evaluation team…
What you'll do
Lead a top-tier applied ML team focused on building eval frameworks,: infrastructure, and AI-powered tooling for World Model understanding and evaluation.
Drive technical direction, and provide technical inputs and guidance to the team.
Architect ML-driven metrics and evaluation frameworks that rigorously test: World Model quality, automatically surfacing anomalies and edge cases across vast datasets.
Chart the technical direction for World Model evaluation, working closely: with Product and Program managers to translate modeling challenges into clear business objectives.
Build AI-powered internal tools and products that streamline the model eval: journey for users, transforming complex model analysis into intuitive, automated, fast-iteration workflows.
Partner with cross-functional teams (e.g., Onboard, Research, and other: Simulation teams) and senior technical leadership to deploy your team’s solutions into Waymo’s production-critical systems.
What they're looking for
- Degree in Computer Science, Robotics, Machine Learning, a related technical: field, or equivalent practical experience
- + years of hands-on technical leadership experience, directly managing and: guiding high-performing engineering teams of 5-10 people
- + years of experience building, deploying, and optimizing machine learning systems in production environments
- Strong software engineering proficiency in Python and/or C++
