Quantitative Risk Intern

Zoox is looking for a Safety Research Engineer candidate with a strong statistics background to join the Quantitative Risk Assessment (QRA) team. In this role, you will be working with cross-functional stakeholders in the autonomy and platform teams to design, implement, and validate off-vehicle performance metrics that will be used to inform our readiness to deploy autonomous vehicles on public roads. 

Technical Qualifications & Language Requirements

• Pursuing a Master’s or PhD Degree in Math, Statistics, Computer Science, or other related technical field
• Experience or familiarity with analysis of large datasets. Bonus: familiarity with extracting sparse signals from large datasets.
• Solid understanding of statistical tools, such as importance sampling and Bayesian models
• Familiarity with Python, Scala, and/or SQL

CompensationThe monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.
About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.