Computer Vision Engineer
CA$200,000 – CA$230,000 / yr base salary
Posted 1 Oct 2026
Advertised as “Computer Vision Engineer, 3D”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | CA$200,000 – CA$230,000 / yr |
|---|
About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
The role
We're looking for a strong, coding-heavy computer vision engineer to own the classical side of our stack. Our models produce raw per-frame predictions; you own the traditional computer vision, temporal filtering, and inverse kinematics — backed by excellent software engineering — that turn those into clean, rigid, smooth, correctly-calibrated spatial data we can deliver.
You'll partner closely with our research teams — you need to understand the models, but you won't be training them.
Your immediate focus is our 3D hands pipeline, where this work is needed most today. From there you'll be our classical-CV specialist across the organization, brought in wherever geometry, filtering, or pipeline problems come up.
What You'll Do
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Own the classical 3D geometry that places reconstructions correctly in space: multi-view geometry, triangulation, PnP, camera calibration, undistortion, and reprojection.
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Design and tune temporal filters (low-pass, Kalman-family, interpolation) that remove jitter without losing real motion.
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Run inverse kinematics and enforce physical constraints such as bone-length rigidity so reconstructed skeletons stay valid. Build the checks that keep bad frames out of delivery.
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Turn model output into clean delivered data, including per-frame results, reports, and the QA metrics that gate delivery, and keep the pipeline running at scale.
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Build visualizers and dashboards to inspect trajectories, overlays, and failure cases.
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Be the go-to engineer for classical computer-vision problems across the pipeline as they come up.
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go-to for classical computer-vision problems elsewhere in the pipeline as they come up.
**What You Bring
**Must-have:
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5+ years of professional experience in software engineering and computer vision.
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Strong software engineering. This is a coding-heavy role: clean, efficient, production Python (C++ is a plus).