Data Scientist - Perception Verification and Validation

In this role, You will...

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.

Qualifications

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.

Bonus Qualifications

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