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.

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. Own the classical 3D geometry that places reconstructions correctly in space: multi-view geometry, triangulation, PnP, camera calibration, undistortion, and reprojection.

Build the checks that keep bad frames out of delivery. 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.



Be the go-to engineer for classical computer-vision problems across the pipeline as they come up. ~ go-to for classical computer-vision problems elsewhere in the pipeline as they come up. 5+ years of professional experience in software engineering and computer vision. ~ Solid software engineering.

This is a coding-heavy role: clean, efficient, production Python (C++ is a plus). ~ Solid multi-view geometry: triangulation, PnP, camera calibration, reprojection, and coordinate transforms. ~ Enough ML to work with deep models such as pose and mesh regressors, including their outputs and failure modes, without training them yourself. ~ A data-quality mindset: comfortable with noisy real-world data and building QA that catches problems before customers do. Human pose or mesh reconstruction (hand or body), including keypoint and mesh pipelines. Building CV tooling such as trajectory visualizers and overlay or QA dashboards.

Light temporal ML, such as small networks for smoothing or gap-filling. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Use of Artificial Intelligence in Recruitment Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process.

This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows.

📌 Computer Vision Engineer, 3D (Richmond Hill)
🏢 mecka
📍 Richmond Hill