Research Scientist, Neural Reconstruction

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About the role

  • Research Scientist developing neural reconstruction algorithms at Waabi, leading innovations in autonomous transportation technology. Seeking innovative candidates to join a rapidly expanding team.

Responsibilities

  • Conduct fundamental and applied research in neural reconstruction, including:
  • 3DGS / NeRF
  • Dynamic scene reconstruction
  • Feed-forward reconstruction
  • Multi-sensor scene representation learning
  • Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.
  • Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.
  • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).
  • Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
  • Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.

Requirements

  • Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.
  • Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.
  • Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications.
  • Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects.
  • Bonus: Proven ability to translate research into production-quality code and measurable product impact.
  • Demonstrated first-author publications in top-tier venues on topics such as: 3DGS / NeRF / neural rendering, 3D / 4D reconstruction, Generalizable reconstruction, Geometry-aware or multi-sensor representation learning.
  • Experience working with camera, LiDAR, maps, and large-scale driving datasets.
  • Strong background in graphics, geometry, rendering systems, or simulation.

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!

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

PythonPyTorch

Location requirements

HybridTorontoCanada

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