Who you are

- We are looking for a driven, inquisitive self-starter who will use their diverse background to dive headfirst into our data and tooling to generate actionable insights for the Safety team

- 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

- Robust 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

- Previous internship or academic experience in robotics, automotive, or data science

- Experience with SQL or other data mining tools

- Experience creating data visualizations or dashboards

What the job involves

- At the heart of our mission is an unwavering commitment to safety.



We are seeking a curious and analytical Safety Methodologies Intern to support the development and implementation of the frameworks that underpin our driverless readiness decisions

- This is a unique opportunity to gain hands-on experience in the autonomous vehicle industry, and you will be helping us quantitatively validate the safety of our autonomous trucking solution using our highly 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. Gain an in-depth understanding of the ins and outs of publicly available safety resources

- Conduct A/B testing on collision models using metrics that you develop within the context of our broader safety framework

- Collaborate with the safety team to integrate the models you develop into safety evaluation pipelines

The application process

- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside your resume for further review
- The Summer Internship is expected to start May/June 2027 and continue on a full-time basis (40 hours/week) to August/September 2027

📌 Safety Methodologies (Toronto)
🏢 Waabi
📍 Toronto