3D Computer Vision Engineer — Geometry & IK Specialist

Kindredventures; Toronto; Presencial; CAD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Mecka AI, based in Toronto, seeks a senior computer vision engineer to own the classical stack—3D geometry, filtering, and inverse kinematics—turning raw predictions into calibrated spatial data. You will partner with research teams but will not train models.

Your focus will be the 3D hands pipeline and you will serve as the go-to CV specialist across the organization, addressing geometry, filtering, and pipeline issues with strong software engineering.

Formación

• 5+ years of professional experience in software engineering and computer vision.
• Strong software engineering: production Python; C++ is a plus.
• Solid multi-view geometry including triangulation, PnP, calibration, and reprojection.
• Temporal filtering and signal processing with Kalman-family filters.
• Inverse kinematics with bone-length constraints for articulated structures.
• ML familiarity with pose/mesh outputs and failure modes, without training them.

Responsabilidades

• Own classical 3D geometry: multi-view geometry, triangulation, PnP, calibration and reprojection.
• Design and tune temporal filters to reduce jitter while preserving real motion.
• Run inverse kinematics and enforce physical constraints on articulated structures.
• Translate model output into clean delivered data, reports, and QA metrics.
• Build visualizers and dashboards to inspect trajectories and failure cases.
• Be the go-to engineer for classical CV problems across the pipeline.

Conocimientos

Software engineering

Computer vision

Python

C++

Multi-view geometry

PnP

Camera calibration

Reprojection

Temporal filtering

Inverse kinematics

Data quality

ML basics

Herramientas

Ceres

GTSAM

Pose/mesh pipelines

Trajectory visualizers

Descripción del empleo

Mecka AI, based in Toronto, seeks a senior computer vision engineer to own the classical stack—3D geometry, filtering, and inverse kinematics—turning raw predictions into calibrated spatial data. You will partner with research teams but will not train models.

Your focus will be the 3D hands pipeline and you will serve as the go-to CV specialist across the organization, addressing geometry, filtering, and pipeline issues with strong software engineering.