A venture-backed AI company building 3 D computer vision models that turn live video into spatial data. Early deployments are in live events and entertainment, where the output powers analytics and immersive media, with longer-term applications in robotics and embodied AI. The team combines researchers and engineers from established tech companies and research labs, and the company has the data, compute, and funding to train its own foundation models. The Role This is a senior research leadership seat for someone who still writes code. You will partner with the CTO to decide what the company builds in 3 D and 4 D reconstruction, run the experiments yourself, and lead the researchers and infrastructure engineers who take that work into production. It suits someone who has already shipped reconstruction or neural rendering models into a live product and wants to set the research direction and standards for a growing team. What You Will Do Own the research roadmap for real-time, feed-forward 3 D and 4 D reconstruction, from early exploration to deployed models Design model architectures, training approaches, evaluation protocols, and dataset strategy, and run the experiments hands-on Lead and hire researchers and infra engineers, giving transparent technical direction while leaving room for exploratory work Review new academic and industry work and decide which ideas deserve investment Publish papers,



file patents, and give technical talks where it makes sense for the company What You Bring MSc or Ph D in Computer Science, Computer Vision, Robotics, ML, or a related field, plus a history of leading researchers and engineers A proven record taking 3 D reconstruction, neural rendering, or spatial AI work from prototype into a production product Deep knowledge of multi-view geometry, structure-from-motion, Ne RFs, 3 D/4 D Gaussian Splatting, and feed-forward reconstruction, backed by papers at venues like CVPR, ICCV, ECCV, Neur IPS, or 3 DV, or by patents or open-source work Hands-on experience training models with Py Torch DDP or FSDP across multi-node GPU clusters in cloud or HPC environments, and managing multi-view video, Li DAR, and calibration data pipelines Legal right to work in Canada and willingness to work onsite (sponsorship not available). Robotics, world models, diffusion, CUDA, or NVIDIA simulation tooling experience is a plus Why This Role You get large-scale 3 D and 4 D data, a pipeline to capture more from live deployments, and the compute to train foundation models from scratch. The research function is still being built, so you will set the technical bar and working style the team grows around, with direct ownership of high-impact projects and an early-team equity stake.

📌 Machine Learning Researcher (Toronto)
🏢 TekRek
📍 Toronto