Waabi
Safety Methodologies Internship/Co-op 2027
Toronto, ON +2 · Hybrid · Internship · Posted Sep 10, 2026
- Location
- Toronto, ON
Pittsburgh, PA
San Francisco, CA - Education
- Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mathematics, Statistics, or a related field.
About the job
Supports the development and use of safety frameworks to quantitatively validate autonomous trucking through collision analysis, modeling, and safety evaluation workflows.
What you'll do
- Build Python tools to calculate and visualize collision-assessment metrics.
- Improve data pipelines and automated safety-assessment workflows; integrate models into safety evaluation pipelines.
- Analyze crash databases, develop and test collision models, and collaborate with the safety team.
What they ask for
- Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mathematics, Statistics, or a related field.
- Experience handling missing values, anomalies, and outliers in large-scale real-world datasets; foundation in regression, classification, and hypothesis testing.
- Strong Python scripting skills, including hands-on experience with data manipulation libraries (e.g., Pandas, NumPy).
- Able to communicate technical concepts clearly and accurately; collaborative across functional boundaries.
Nice to have
- Previous internship or academic experience in robotics, automotive, or data science.
- Experience with SQL or other data mining tools, or creating data visualizations or dashboards.
Pay
$40-$52 USD (hourly); $41-$53 CAD (hourly)
Tools
Python, Pandas, NumPy, SQL
AI focus
Uses AI tooling to rapidly experiment, prototype, and harden code, and rigorously validate results; applies multivariate modeling to predict collision-related metrics.
Model-written summary · the original posting is authoritative