Applied Scientist
Waabi · Toronto, ON
Roboticshybridmid-level
At a glance
Highlights
- Drive unified evaluation of autonomy across simulation, track, and road testing.
- Build cross-modal dashboards tracking progress toward company milestones.
- Partner with Safety and Autonomy teams to turn metrics into action.
Ideal candidate
Collaborative, curious data-minded problem solver with 3+ years in analytics who thrives partnering across teams and is passionate about self-driving tech and turning complex data into trusted insights.
Requirements
- 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
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
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