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.
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Define and own the overarching vision and multi-year strategy for determining the size, composition, and collection methods for datasets used in Perception model training and evaluation.
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Drive the design and organizational adoption of frameworks to estimate data needs based on model performance, scaling laws, generalization goals, and a deep understanding of the diversity in new geographies.
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Define and refine strategies for Perception evaluation datasets, ensuring they provide sufficient coverage and statistical power to measure progress and de-risk new deployments.
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Collaborate closely with Perception engineers, ML researchers, the Labeling organization, and Operations teams to translate strategic recommendations into actionable labeling plans.
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Analyze existing data sources to identify structural gaps, biases, and opportunities for more efficient data utilization.
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Establish and champion data-driven best practices for dataset design and data quality within the Perception organization, driving operational maturity.
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Establish the impact of the Data Science function within Perception as a hands-on IC, followed by building a small team.
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BS/MS and 10+ years of industry experience, or PhD + 8 years of industry experience in Statistics, Mathematics, Physics, Economics, Engineering, Computer Science, or a related quantitative field.
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8+ years of experience using analytics, statistical modeling, and machine learning to solve complex product, business, or autonomous systems problems.
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5+ years of experience in coding (e.g., Python, R, SQL), querying databases, and statistical analysis.
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Proven ability to lead and deliver on highly ambiguous, high-impact technical projects in a self-directed environment.
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Strong communication and collaboration skills, with a track record of influencing cross-functional teams and senior leadership.