Data Scientist - Perception Verification and Validation

Job description

Job 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. Present results and insights to leadership.
• Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.

Job 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 efficient data queries at scale and 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.)
• Experience analyzing geospatial data