Zoox is seeking to solve the problem of verifying and validating the perception stack of its autonomous driving system
Requirements
- Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet 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 to understand and present trends and their implications for the business
- Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact
Responsibilities
- Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the 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
- Design and implement statistical methods to quantify uncertainty in our performance and validation metrics
Other
- Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
- If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter
