Data Scientist (Perception Verification and Validation)

• We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system.
• The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system.
• The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior
• 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

Benefits

• Paid parental leave
• Affinity groups and sports clubs
• Work from home opportunities
• Health insurance
• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description- Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business
• Basic experience with autonomous driving, safety-critical systems, or computer vision systems
• 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
• Master’s or PhD degree in Statistics, Mathematics, Computer Science, or a related field
• 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