Machine Learning Researcher

TekRek; Toronto; On-site; CAD 180,000 - 280,000; Full time

Job summary

TekRek is seeking a senior research leader to shape the direction of real-time 3D and 4D reconstruction. You will collaborate with the CTO, conduct hands-on experiments, and mentor researchers and infrastructure engineers turning research into production.

You will review cutting-edge work, decide investments, and contribute to patents and talks to advance the company’s vision in live events and embodied AI. On-site role in Toronto, Canada, with equity opportunities.

Qualifications

• PhD or MSc in CS, CV, robotics, ML.
• Proven track record leading researchers and engineers.
• Experience shipping 3D reconstruction or neural rendering to production.
• Expertise in multi-view geometry, NeRFs, 3D/4D Gaussian Splatting.
• Experience training models with PyTorch DDP / FSDP on multi-node GPU clusters.

Responsibilities

• Own the research roadmap for real-time, feed-forward 3D and 4D 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 clear 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.

Skills

3D reconstruction

Neural rendering

Spatial AI

Leadership

Education

PhD or MSc in CS / CV / ML

Tools

PyTorch DDP

PyTorch FSDP

GPU clusters

Data pipelines

Job description

A venture-backed AI company building 3D 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 3D and 4D 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 3D and 4D 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 clear 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 PhD in Computer Science, Computer Vision, Robotics, ML, or a related field, plus a history of leading researchers and engineers
• A proven record taking 3D reconstruction, neural rendering, or spatial AI work from prototype into a production product
• Deep knowledge of multi-view geometry, structure-from-motion, NeRFs, 3D/4D Gaussian Splatting, and feed-forward reconstruction, backed by papers at venues like CVPR, ICCV, ECCV, NeurIPS, or 3DV, or by patents or open-source work
• Hands-on experience training models with PyTorch DDP or FSDP across multi-node GPU clusters in cloud or HPC environments, and managing multi-view video, LiDAR, 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 3D and 4D 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.