Software Engineer, Labelling, Data & Automation
Waabi · Toronto, ON
Roboticshybridsenior
At a glance
Highlights
- Build pipelines and tools accelerating AI-first self-driving technology development.
- Mine petabytes of real-world data to surface interesting cases for ML training.
- Deploy open-set embedding models to power new search and curation modalities.
Ideal candidate
A collaborative software engineer with 4+ years building large-scale data systems who loves solving hard problems and advancing self-driving technology through reliable automation.
Requirements
- 4+ years of industry experience
- Bachelor's in computer science, engineering, machine learning, or a related technical discipline
- Proficient in Python programming and strong software engineering fundamentals with well-tested code
- Strong experience with data pipelines for large-scale processing and analysis
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices
- Strong communication and organizational skills
- Open-minded and collaborative team player with willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
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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