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About the Role
Support the development and implementation of frameworks that underpin driverless readiness decisions. Gain hands-on experience in the autonomous vehicle industry by quantitatively validating the safety of our autonomous trucking solution using a realistic simulator and real-world data. This role requires a driven, inquisitive self-starter to dive into data and tooling to generate actionable insights for the Safety team.
Responsibilities
- 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 self-developed metrics within the broader safety framework.
- Collaborate with the safety team to integrate developed models into safety evaluation pipelines.
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.
- Previous internship or academic experience in robotics, automotive, or data science (Bonus).
- Experience with SQL or other data mining tools (Bonus).
- Experience creating data visualizations or dashboards (Bonus).
Skills
- Python
- Pandas
- NumPy
- Regression
- Classification
- Hypothesis Testing
- Data Visualization
- SQL
Location
- Toronto
- San Francisco
- Dallas
- Pittsburgh
Work Type
- Full-time
- Internship/Co-op
Experience Level
- Internship
Education Level
- Bachelor's Degree
- Master's Degree
- PhD
Salary/Compensations
- $40-$52 USD per hour
- $41-$53 CAD per hour
Benefits
- Daily drinks, snacks and catered meals (when in office)
- Regularly scheduled team building activities and social events
- Competitive perks & benefits
About the Company
- Waabi is a technology start-up building technologies to transform the way the world moves.
- Waabi is the leader in Physical AI, unlocking the next era of autonomous transportation with technology powering commercial autonomous trucks and robotaxis.
- Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
Equal Opportunity
- Waabi is an equal opportunity employer.
- We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees.
- We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law.
- We make workplace accommodations for qualified individuals with disabilities as required by applicable law.
- If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.