Data Scientist - Perception Verification and Validation

The role

You will define performance metrics and build datasets to verify and validate the perception stack of an autonomous driving system. You will analyze results to find failure patterns and present insights to leadership.

What you will do

• Define key performance metrics to measure the impact of new features on the perception stack and end-to-end system behavior
• Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance
• Analyze large scale metric results to identify patterns and insights about perception failure modes
• Present results and insights to leadership
• Design and implement statistical methods to quantify uncertainty in performance and validation metrics

Required qualifications

• Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
• Proficient in data query languages (SQL and/or Spark/Scala) to build complex, efficient data queries at scale
• Proficient in Python to build production-quality code
• Basic experience with autonomous driving, safety-critical systems, or computer vision systems
• Proficient in exploratory data analysis (EDA) and data visualization
• Background in statistical modeling and analysis, including making data-driven decisions that connect point and uncertainty estimates to business impact

Nice to have

• Skilled at using AI tools to improve development efficiency and quality
• Experience with experiment design and statistical comparisons (A/B testing, parametric and non-parametric statistics)
• Experience analyzing geospatial data

Before you apply

• You do not need to match every listed expectation to apply

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to bring this technology to market. It aims to provide mobility-as-a-service in urban environments.