About the job
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Simulation Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. In this hybrid role, you will report to a Sr Staff TLM.
Responsibilities
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.
Qualifications
Minimum
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.
Preferred
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.