Responsibilities
- You will define key performance metrics for CAS, in order to guide product development to a commercial launch
- You will apply distributed computing algorithms to efficiently analyze petabytes of urban driving data
- You will work closely with software engineers, data engineers, and data scientists to develop metrics and tools for analyzing errors and guiding improvements in our systems
- You will contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation
Qualifications
- MS or PhD degree in statistics, computer science, or related field
- 5+ years of experience in a related field
- Proficient with SQL / Spark / Python
- Demonstrated expertise in statistical methodologies including sampling methods, hypothesis testing, power analysis, Bayesian inference, and multivariate analysis.
- Experience with designing metrics and delivering actionable insights that drive business decisions
Bonus Qualifications
- Experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
- Familiarity with modern software development methodologies and tools (Agile, Git, unit testing, CI, etc.)
- Experience with model evaluation and metric frameworks for autonomous driving or machine learning applications.
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What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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