Contract Student Worker - Autonomy Safety Data Engineer

Job description

Job responsibilities

• Support designing, building, and iterating on a data-driven safety risk model that quantifies driving performance and surfaces safety-relevant signals across the autonomy stack
• Assist developing and maintaining dataset management pipelines — curation, labeling, versioning, and quality checks — that feed the risk model and downstream analyses
• Support defining and running empirical experiments that “show it with data” rather than relying on assumptions

Job requirements

• Assist analyzing large-scale driving and simulation datasets to identify trends, edge cases, and opportunities to improve autonomy performance
• Currently pursuing a B.S. or M.S. in a relevant quantitative field (Engineering, Computer Science, Statistics, Physics, or similar)
• Strong programming skills in Python
• Help work through ambiguous, open-ended problems with a researcher’s mindset and a bias toward rapid iteration
• Solid data manipulation understanding (e.g., SQL, PySpark, Scala)
• Solid foundation in statistics, machine learning, and risk or reliability modeling
• Help communicate complex results, trade-offs, and uncertainty clearly to the team and stakeholders
• Comfort operating independently under high uncertainty on open-ended problems