Safety Methodologies Internship/Co-op 2027
Core
Develop Python scripts and tools to calculate quantitative metrics, visualize complex data, and validate the safety of autonomous trucking solutions using simulators and real-world data.
Role type
Safety Methodologies Intern
Builds
Quantitative safety metrics and automated assessment workflows for autonomous trucking
Domain
Autonomous vehicles / Physical AI
Deliverable
production ML models
Required skills
Python scripting, data manipulation (Pandas, NumPy), regression, classification, hypothesis testing, multivariate modeling, A/B testing, handling missing values/anomalies/outliers
Preferred skills
SQL, data mining tools, data visualization/dashboards, robotics, automotive, data science
Technologies
Python, Pandas, NumPy
Responsibilities
Develop Python scripts to calculate quantitative metrics and visualize complex data for collision assessment; Support optimization of data pipelines and automated assessment workflows; Explore large crash databases and apply multivariate modeling techniques; Conduct A/B testing on collision models; Collaborate with the safety team to integrate models into safety evaluation pipelines