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.
Staff Applied Scientist building production ML systems for Samsara’s IoT - connected hardware supply chain. Forecasting demand, optimizing inventory, and modeling supplier risk.
Student Research Assistant researching digital storytelling and patient - centred cancer communication for Okanagan College’s BC Cancer project. Preparing annotated bibliographies and collaborating with patient partners.
Research Assistant analyzing student feedback during Okanagan College’s LMS migration. Supporting literature synthesis, data collection, thematic coding, statistics, and research dissemination.
Senior Applied Scientist developing fault - detection and predictive - maintenance ML for MaintainX’s industrial work - execution platform. Analyzing vibration and time - series data to improve asset intelligence.
Research Fellow validating AI - generated scientific research for a specialized AI lab. Creating benchmark tasks, evaluation standards, and a public first - author research paper.
Lead Applied Scientist advancing NLP, information retrieval, and GenAI for Thomson Reuters’ legal technology products. Leading applied research from proof of concept through production.
Youth Peer Research Assistant supporting Trillium Health Partners’ community movement intervention research in Mississauga Valleys. Contributing to co - design, hackathon delivery, qualitative analysis, and knowledge mobilization.
Research Assistant developing service - costing methodology for Okanagan College’s BC BTAC. Building Excel costing tools, validating service costs, and presenting applied - research recommendations.