Define key performance metrics that will help perception engineers to measure the impact of new
Create and maintain datasets used to evaluate the perception stack and end-to-end driving
Analyze large scale metric results to identify patterns and insights about perception failure
Design and implement statistical methods to quantify uncertainty in our performance and validation

🎯 Requirements

Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet
Basic experience with autonomous driving, safety-critical systems, or computer vision systems.
Proficient in exploratory data analysis (EDA) and data visualization to understand and present
Background in statistical modeling and analysis; including experience making data-driven decisions

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