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Posted 6 months ago

Applied Scientist

@ Waabi

Toronto, Ontario

HybridFull-time3+ years experience
Apply now
SIGNALS

Overview

Waabi is hiring an Applied Data Scientist to build a unified view of its autonomous driving evaluation methodology across simulation, track and public road testing. The role involves dashboards, eval pipeline tooling and anomaly investigation with Safety and Autonomy teams. Full-time, with a US salary of $128,000 to $184,000 USD plus equity and an annual bonus.

Responsibilities:

  • Analyze autonomy system performance across simulation, track and public road testing
  • Build and maintain cross-modal performance dashboards
  • Partner with Data Platform and Evaluation teams on eval tooling and pipelines
  • Investigate anomalies in metrics to ensure reliable data

Requirements summary:

  • 3+ years in an analytical role
  • BS or MS in a quantitative field
  • Strong SQL and familiarity with Python
  • Experience building automated dashboards
  • Experience with cross-functional stakeholders

Tools & skills

Benefits mentioned

Health insuranceDentalVisionPaid time offWellnessStock options
Source and dates

Employer career site / ATS feed · lever

Employer posting date
2026-05-12
First seen by our source
2026-10-08
Source record updated
2026-10-15

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

Job details

SeniorityMid level
DepartmentData & analytics
Experience3+ years
Hours per week40 (estimated)
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required), Master’s degree (required)
Fields of studyComputer Science, Engineering, Statistics, Physics
Perks mentionedGenerous paid time off, Flexible hours, Wellness, Free 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 Jobsy55
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 Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.

You will...

  • Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.
  • Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones.
  • Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities.
  • Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.
  • Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.

Qualifications:

  • Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).
  • BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.
  • Strong command of SQL, and familiarity with Python for data manipulation and prototyping.
  • Experience building clear, automated dashboards using modern BI tools or custom frameworks.
  • Experience working with internal cross-functional partners/stakeholders
  • Open-minded and collaborative team player with willingness to help others
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

  • Experience in the Autonomous Vehicle or Robotics industry.
  • Experience with large scale databases and analytics
  • Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement

The US yearly salary range for this role is: $128,000 - $184,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:

  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • 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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