3 months ago
Responsibilities
- Design, build, and iterate on an end-to-end RAG pipeline for autonomous-vehicle validation from prototype through demo.
- Build and validate a driving-risk assessment system and experimentally test autonomous-vehicle behavior.
- Define and run empirical experiments using data to evaluate system performance and assumptions.
- Work independently on ambiguous, open-ended problems using rapid iteration and a research-oriented approach.
- Communicate complex results, trade-offs, and uncertainty clearly to teammates and stakeholders.
Requirements
- Currently pursuing a B.S. or M.S. in a relevant quantitative field such as engineering, computer science, physics, neuroscience, biology, or computational biology.
- Strong programming skills in Python.
- Solid understanding of data manipulation, including SQL, PySpark, or Scala.
- Foundation in machine learning and statistics.
- Ability to work independently on uncertain, open-ended problems and collaborate effectively.
- Strong written and verbal communication skills.
Benefits
- Part-time six-month contract project requiring at least 20 hours per week.
- On-site work and ability to commute to Foster City required.
- Employment is through a vendor contracted with Zoox, with benefits offered by the vendor.
- Hands-on experience with autonomous-vehicle technology, mentorship, and contributions to real projects.
Categories
About Zoox
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.