Volunteer board member helping Our Place Peel, a Peel Region youth shelter and support charity, govern programs and empower vulnerable youth.
About the role
- Safety Methodologies Intern validating autonomous-truck safety using simulation, real-world data, and crash modeling. Supporting Waabi’s Physical AI platform for commercial autonomous trucks and robotaxis.
Responsibilities
- Support the development and implementation of safety methodologies underpinning driverless readiness decisions
- Quantitatively validate the safety of Waabi’s autonomous trucking solution using a realistic simulator and real-world data
- Develop Python scripts and tools to calculate quantitative metrics and visualize complex data for collision assessment
- Support optimization of data pipelines and automated assessment workflows used for safety validation
- Explore large crash databases and apply multivariate modeling techniques to predict collision-related metrics
- Conduct A/B testing on collision models using metrics developed within the broader safety framework
- Collaborate with the safety team to integrate developed models into safety evaluation pipelines
- Generate actionable insights for the Safety team
Requirements
- Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mathematics, Statistics, or a related field
- Experience identifying and handling missing values, anomalies, and outliers in large-scale, real-world datasets
- Solid foundation in regression, classification, and hypothesis testing, with the ability to surface patterns in large-scale tabular data
- AI-native — uses AI tooling to rapidly experiment, prototype, and harden code, and can rigorously validate the results
- Strong Python scripting skills, including hands-on experience with data manipulation libraries (e.g., Pandas, NumPy)
- Able to communicate complex technical concepts clearly and accurately
- Collaborative team player who works effectively across functional boundaries
- Genuinely excited about self-driving technology and drawn to solving hard, unsolved problems
- Most up-to-date academic transcripts must be submitted alongside the resume for internship/co-op consideration
- Bonus/nice to have: Previous internship or academic experience in robotics, automotive, or data science
- Bonus/nice to have: Experience with SQL or other data mining tools
- Bonus/nice to have: Experience creating data visualizations or dashboards
Benefits
- Daily drinks, snacks and catered meals (when in office)
- Regularly scheduled team building activities and social events
- Competitive benefits package
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