Senior Data Scientist (Verification & Validation)

• Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities
• We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems
• You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing
• You’ll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines
• These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service
• Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability
• Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures
• Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions
• Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies
• Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation
• Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data

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- The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward
• Experience with large-scale data analysis and statistical modeling
• Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis
• MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
• Proficiency in Python and SQL with experience in production-quality code
• Proficiency with Git, unit testing, and collaborative development practices
• Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
• Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
• Experience with designing metrics and delivering actionable insights that drive business decisions