Zoox is seeking a Data Scientist to verify and validate 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 using 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
- Skilled at using AI tools to improve development efficiency and quality
- Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
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
- Present results and insights to leadership
- Develop datasets and metrics to quantify the performance of the perception system
- Help define key performance metrics that will enable perception engineers to directly measure the impact of new features
Other
- Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
- Paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance
- Accommodations for application or interview process available upon request
- Diverse perspectives and backgrounds encouraged to apply
- Comprehensive package of benefits
