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Added 1 hour ago
Intern, Developer (Winter 2027)
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$17.95 to $31 CAD / hour
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Computer Vision Engineer, 3D
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Mecka

Computer Vision Engineer, 3D

Richmond Hill, ON, Canada

Pay: $200,000 to $230,000 CAD / year
Job type: Full-time
Experience: 5+ years of professional experience in software engineering and computer vision.
Posting language: English
Posted: Oct 1, 2026

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Original job description

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

Own the classical 3D geometry that places reconstructions correctly in space: multi-view geometry, triangulation, PnP, camera calibration, undistortion, and reprojection.
Design and tune temporal filters (low-pass, Kalman-family, interpolation) that remove jitter without losing real motion.
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.
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.
Build visualizers and dashboards to inspect trajectories, overlays, and failure cases.
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.

What You Bring Must-have:

5+ years of professional experience in software engineering and computer vision.
Strong 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.
Temporal filtering and signal processing: low-pass and Kalman-family filters, interpolation, and a feel for the trade-off between smoothness and fidelity.
Inverse kinematics and rigid-body or bone-length constraints on articulated structures.
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.

Nice-to-have:

Human pose or mesh reconstruction (hand or body), including keypoint and mesh pipelines.
Depth in Bayesian filtering or state estimation; experience with optimization frameworks such as Ceres or GTSAM.
Building CV tooling such as trajectory visualizers and overlay or QA dashboards.
Stereo, multi-view, or ego-exo capture experience.
Light temporal ML, such as small networks for smoothing or gap-filling.

A Note on Applying

Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply - we're looking for capability and trajectory, not a perfect checklist match.

Inclusive Hiring at Mecka

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. 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. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

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. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.

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More about this job

Responsibilities

You will own the classical computer vision stack, including 3D geometry, temporal filtering, and inverse kinematics to process raw model outputs into clean spatial data. Additionally, you will build QA metrics, visualizers, and dashboards to ensure high-quality data delivery and pipeline reliability.

Requirements

Candidates must have 5+ years of professional experience in software engineering and computer vision with strong proficiency in Python. You should possess solid expertise in multi-view geometry, signal processing, and articulated structure constraints, along with a data-quality mindset.

Skills

Computer vision
Python
C++
Multi-view geometry
Triangulation
PnP
Camera calibration
Temporal filtering
Signal processing
Kalman filters
Inverse kinematics
Rigid-body constraints
Data quality
Software engineering
3D geometry

Benefits

Equity
Health and wellness benefits

Visa sponsorship

Not detected in the job text

Keywords

Computer Vision
Robotics
Embodied AI
Python
C++
Multi-view Geometry
Triangulation
PnP
Camera Calibration
Temporal Filtering
Kalman Filters
Inverse Kinematics
Rigid-body Constraints
Data Infrastructure
Pose Estimation
Mesh Reconstruction
Ceres
GTSAM
Bayesian Filtering
State Estimation
Software Engineering
QA Metrics
Data Capture
Data Labeling
Simulation

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