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.
Fellowship supporting mid - career scholars whose work advances Canada’s engagement with the Indo - Pacific. Proposing research in areas like Economic Security, Technology, and Indo - Pacific Geopolitics.
Leading research in post - training alignment and reinforcement learning at Autodesk AI Lab. Managing a team of AI scientists to develop reliable foundation models for various industries.
Applied Data Scientist role focusing on developing frameworks for evaluating autonomous technologies. Join Waabi's innovative team advancing autonomous transportation solutions based on Physical AI.
Applied Data Scientist working on multi - faceted evaluation methodology for autonomous driving technology at Waabi. Collaborating cross - functionally to deliver actionable insights on system performance.
Senior Applied Scientist at MaintainX enhancing scheduling systems through Python optimization and collaboration with product design teams. Focused on real - world applications of AI - driven scheduling.
Research Scientist developing machine learning models to predict cellular responses for drug discovery. Joining a multidisciplinary team at Valence Labs in Montreal, Quebec.
Research Assistant supporting new content development at the Toronto Holocaust Museum. Conducting research on antisemitism and surveying responses from other museums.
Research Scientist at Valence Labs developing ML models for predicting cellular responses in drug discovery. Building generative models based on massive multiomics datasets with collaborative research.
Applied Scientist developing and deploying AI models for customer growth at Thumbtack. Focusing on user data to create scalable experiences and innovate marketing strategies.