About the role#
This contract position focuses on building a data-driven safety risk model to quantify and improve autonomous vehicle performance. You will work within the Safety Strategy and Operations team on a project spanning model development, empirical experimentation, and large-scale data analysis. This is a part-time role designed to complement your academic studies with hands-on project work.
What you'll do#
- Design, build, and iterate on a safety risk model to identify signals across the autonomy stack.
- Develop and maintain dataset management pipelines, including curation, labeling, versioning, and quality checks.
- Define and run empirical experiments to validate performance data.
- Analyze large-scale driving and simulation datasets to spot trends and edge cases.
- Communicate complex results and trade-offs to team members and stakeholders.
What you'll need#
- Current enrollment in a B.S. or M.S. program in a quantitative field like Engineering, Computer Science, Statistics, or Physics.
- Strong programming skills in Python.
- Solid understanding of data manipulation using tools such as SQL, PySpark, or Scala.
- Foundation in statistics, machine learning, and risk or reliability modeling.
- Ability to work independently on open-ended problems.
Location & details#
- This role is on-site at our offices in Foster City, California, Boston, Massachusetts, or Seattle, Washington.
- You must be able to commit to at least 20 hours per week for a minimum of three months.
- This is a paid contract position. Employment is managed through a vendor.
About Zoox
Zoox develops autonomous, purpose-built vehicles for mobility-as-a-service. The company focuses on robotics, artificial intelligence, and electric vehicle technology. Founded in 2014, it maintains its headquarters in Foster City, California. The organization employs nearly 4,800 people.
How to get in at Zoox
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