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Zoox is seeking a Data Scientist to join the Perception Verification and Validation team, which is responsible for verifying and validating the perception stack of their autonomous driving system. This role sits at the intersection of robotics, machine learning, and systems engineering, working closely with perception engineers and systems engineers to develop datasets and metrics that quantify perception system performance.
Key responsibilities include defining key performance metrics that enable perception engineers to measure the impact of new features on both the perception stack and end-to-end system behavior; creating and maintaining datasets used to evaluate perception stack and driving performance; analyzing large-scale metric results to identify patterns and insights about perception failure modes; and designing and implementing statistical methods to quantify uncertainty in performance and validation metrics. The role requires presenting results and insights to leadership.
Required qualifications include a Master's or PhD in Statistics, Mathematics, Computer Science, or related field; proficiency with SQL, Spark/Scala, and Python for production-quality code; basic experience with autonomous driving, safety-critical systems, or computer vision; strong exploratory data analysis and data visualization skills; and background in statistical modeling with experience connecting data-driven decisions to business impact.
Bonus qualifications include proficiency with AI tools for development efficiency, experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics), and experience analyzing geospatial data.
Zoox is developing the first ground-up, fully autonomous vehicle fleet and supporting ecosystem. The company emphasizes execution, innovation, and diverse perspectives.
