Safety Methodologies Internship/Co-op 2027
Waabi · Toronto, ON
Roboticshybridinternship
At a glance
Highlights
- Validate autonomous trucking safety using realistic simulator and real-world data.
- Help develop frameworks underpinning driverless readiness decisions.
- Explore large crash databases to predict collision metrics for safety validation.
Ideal candidate
Curious, analytical self-starter pursuing a quantitative degree who loves diving into messy real-world data for actionable insights and is genuinely excited to solve hard, unsolved safety problems for self-driving trucks.
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Robotics, Mathematics, Statistics, or 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 large-scale tabular data
- AI-native, able to rapidly experiment, prototype, harden code and rigorously validate results
- Strong Python scripting skills including Pandas and NumPy
- Able to communicate complex technical concepts clearly and collaborate across functional boundaries
- hiring process
- Include your most up-to-date academic transcripts alongside your resume for review.
Lab profile
About Waabi
Leader in Physical AI powering commercial autonomous trucks and robotaxis.
What they build
- Commercial autonomous trucks
- Robotaxis
Known for
- Physical AI leadership
- World-class team
- Founded by AI visionary Raquel Urtasun
- Partnerships across AI, automotive, logistics and deep tech
Key facts
- Offices in Toronto, San Francisco, Dallas, and Pittsburgh
- Backed by leaders in AI, automotive, logistics, and deep tech
Posted · Last seen