5+ years of professional software engineering and computer vision experience
Proficient in Python, with C++ as a plus
Expertise in multi-view geometry including triangulation and camera calibration
Experience with temporal filtering and signal processing
Knowledge of inverse kinematics and rigid-body constraints
Familiarity with machine learning concepts related to pose and mesh regressors
Strong focus on data quality in real-world applications
Responsibilities
Own multi-view geometry tasks such as triangulation and camera calibration
Design and tune temporal filters to enhance motion smoothness
Implement inverse kinematics while enforcing physical constraints
Develop QA checks and metrics to ensure high-quality customer deliveries
Create visualizers and dashboards for monitoring trajectories and failure cases
Benefits
Hybrid work model in Toronto GTA or New York
Opportunity to work on cutting-edge 3D hand-tracking technology
Collaboration with research teams to influence product development
Focus on classical computer vision techniques in a modern context
Potential for equity in a growing company
Full Job Description
Computer Vision Engineer, 3D
Location: Toronto GTA or New York (HYBRID) • Type: Full-time • Openings: 1 • Salary: CA$200K - $230K + equity
The role
Own the classical side of the computer vision stack. Deep models produce raw per-frame predictions; you'll own the traditional CV, temporal filtering and inverse kinematics that turn them into clean, smooth, correctly calibrated 3D data ready for delivery. You'll partner closely with research teams and need to understand the models, but you won't train them. The immediate focus is a 3D hand-tracking pipeline, then classical-CV problems across the organization.
What you'll do
Own 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
Build QA checks and metrics that keep bad frames out of customer deliveries, and keep the pipeline running at scale
Build visualizers and dashboards for trajectories, overlays and failure cases
What you bring
5+ years of professional software engineering and computer vision experience
Strong, coding-heavy production Python (C++ a plus)
