Posted 21 days ago
Machine Learning Researcher
@ TekRek
Toronto, Ontario
Overview
TekRek is hiring a senior Machine Learning Researcher to set the research direction for real-time 3D and 4D reconstruction and lead a growing team of researchers and infrastructure engineers. The role combines leadership with hands-on model development, from architecture and training to evaluation and production deployment. The posting requires full-time onsite work in Canada, with no visa sponsorship offered.
Responsibilities:
- Own the research roadmap for real-time 3D and 4D reconstruction
- Design model architectures, training, evaluation and dataset strategy
- Run experiments hands-on
- Lead and hire researchers and infrastructure engineers
- Review academic work and publish papers or file patents
Requirements summary:
- MSc or PhD in a related field
- History of leading researchers and engineers
- Record taking 3D reconstruction or neural rendering into production
- Deep knowledge of multi-view geometry and NeRFs or Gaussian Splatting
- Experience training models across multi-node GPU clusters
- Legal right to work in Canada and willingness to work onsite
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-20
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Research & science |
| Manages people | Yes |
| Hours per week | 40 (estimated) |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Computer Science, Computer Vision, Robotics, Machine Learning |
| Perks mentioned | Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
TekRek
| Field | Value |
|---|---|
| Open jobs on Jobsy | 7 |
About the Company
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.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.