Research Engineer, World Models
Waabi · Toronto, ON
Roboticshybrid
At a glance
Highlights
- Power Waabi World simulation for commercial autonomous trucks and robotaxis.
- Develop world models that reason about complex, dynamic 4D environments.
- Synthesize realistic safety-critical scenarios for planning and testing.
Ideal candidate
A collaborative builder who loves turning cutting-edge generative research into robust, large-scale systems for autonomous driving and thrives in fast-paced research-engineering teams.
Requirements
- Very strong Python and PyTorch (or JAX) skills with strong software-engineering fundamentals
- Extensive experience with distributed training and large-scale model deployment
- Master's degree in Computer Vision, Machine Learning, Robotics, or related field, or equivalent industry experience
- Built and deployed generative or predictive models of the physical world for real-world applications
- Experience delivering successful projects in fast-paced, close-knit researcher-engineer teams
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
Posted · Last seen