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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 Responsibility
Apply ML expertise to enhance the quality and accuracy of labeled data derived from multi-modal sensors
Develop and implement models to identify and correct issues in perception-based data for simulation
Analyze data quality, investigate anomalies, and drive improvements in our data labeling pipelines
Collaborate with perception and simulation teams to refine data requirements and quality standards
Lead efforts to address complex data quality challenges and define ML strategies for high-fidelity data generation
Requirements
MS or BS in Computer Science or a related field
5+ (L5) / 7+ (L6) years of experience in applied Deep Learning/Machine Learning
Strong background in computer vision, sensor fusion, or perception
Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch)
Experience with data analysis and quality assessment
Strong coding and design skills
Nice to have
PhD degree in Computer Science or a similar discipline
Experience with autonomous vehicle sensor data
Familiarity with data labeling processes and challenges
Experience taking ML models from research to production