Research Scientist, Neural Reconstruction
All the best with your application!
Want more jobs like this straight to your inbox?
Get Job Alerts
Get a curated list of the top robotics roles delivered straight to your inbox each week. We sift through hundreds of postings to find the high-salary positions, leading companies, and remote opportunities you actually want.
Unsubscribe anytime. We respect your privacy.
Summary
Pittsburgh / San Francisco (Remote)
Full-time
About this Job
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
Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.
This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.
You will…
- Conduct fundamental and applied research in neural reconstruction, including:
- 3DGS / NeRF• Dynamic scene reconstruction• Feed-forward reconstruction• Multi-sensor scene representation learning
- 3DGS / NeRF / neural rendering• 3D / 4D reconstruction• Generalizable reconstruction• Geometry-aware or multi-sensor representation learning
About the Company
