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Posted 2 months ago

Safety Methodologies Internship/Co-op 2027

@ Waabi

Toronto, Ontario

HybridInternship
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Overview

Waabi is hiring a Safety Methodologies Intern for a full-time summer internship from May/June 2027 to August/September 2027. The intern supports the safety team by building Python tools, metrics and collision models that help validate the safety of its autonomous trucking solution. Transcripts must be submitted alongside the resume.

Responsibilities:

  • Build Python tools to calculate collision metrics and visualize data
  • Optimize data pipelines and automated safety validation workflows
  • Analyze large crash databases with multivariate models
  • Run A/B tests on collision models
  • Integrate models into safety evaluation pipelines

Requirements summary:

  • Currently enrolled in a Bachelor's, Master's or PhD program in a related field
  • Experience handling missing values, anomalies and outliers
  • Solid foundation in regression, classification and hypothesis testing
  • Strong Python skills with Pandas and NumPy
  • Uses AI tooling to prototype and validate code

Tools & skills

Source and dates

Employer career site / ATS feed · lever

Employer posting date
2026-09-09
First seen by our source
2026-10-16
Source record updated
2026-10-16

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentSoftware development
Hours per week40
Scheduleday
SeasonalYes
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required), Master’s degree (required), Doctorate (required)
Fields of studyComputer Science, Robotics, Mathematics, Statistics
Perks mentionedFree or discounted meals

Summary and details written by AI from the posting; the employer’s posting is the authority.

Waabi

Funding & investors

Reported funding round: Series C

Investor named in the round: Khosla Ventures, G2 Venture Partners, Uber, NVentures, Volvo Group Venture Capital, Porsche Automobil Holding SE, Radical Ventures, HarbourVest Partners, Linse Capital, Incharge Capital, Export Development Canada, TELUS Global Ventures, BMO Global Asset Management

Announcement date: · Source checked: 2026-11-02

Company announcement
Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Built to think. Born to haul.

Full company description

Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]

LinkedIn followers
28,690
People associated on LinkedIn
291
Reported office locations
  • N/A, Toronto, CA
  • San Francisco, California, US
Business categories
  • Artificial Intelligence
  • Transportation
  • Automotive
  • Artificial Intelligence (AI)
  • Machine Learning
  • Autonomous Vehicles
Other recorded names
  • Waabi
Profile identifies a recruitment agency
No
Reported total investment
1,033,036,757

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]

FieldValue
IndustryTruck Transportation
Company size51-200 employees
HeadquartersToronto
Organization typePrivately Held
Year founded2021
Open jobs on Jobsy56
LinkedInView page
Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

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. 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.

Application Instructions:

- 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.

You will…

- 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.

Qualifications:

- 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.

Bonus/nice to have:

- 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.

The US hourly range for this role is: $40-$52 USD and the Canada hourly range for this role is: $41-$53 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s hourly ranges are determined based on several factors in accordance with the Company’s compensation practices. The hourly range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.

Perks/Benefits:

Waabi provides a competitive benefits package that includes:

  • Daily drinks, snacks and catered meals (when in office)
  • Regularly scheduled team building activities and social events
  • As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

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.

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