- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Sep 17, 2026
- Salary
- $251,000–$310,000 a year
Staff Tech Lead Manager, Machine Learning, Simulator Evaluation
Job description
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.
Job responsibilities
- 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.
Job requirements
- Degree in Computer Science, Robotics, Machine Learning, a related technical field, or equivalent practical experience
- 3+ years of hands-on technical leadership experience, directly managing and guiding high-performing engineering teams of 5-10 people
- 7+ years of experience building, deploying, and optimizing machine learning systems in production environments
- Strong software engineering proficiency in Python and/or C++
- Experience with ML frameworks like PyTorch, JAX, or Tensorflow, backed by a solid foundation in deep learning, transformers, and large-scale model deployment
- Proven ability to design robust evaluation frameworks for complex systems, combined with strong analytical skills and proficiency in large-scale data processing
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