4 дня назад
Computer Vision Engineer (Robotics)
200 000 - 230 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computer Vision Engineer (Robotics): Building classical computer-vision and 3D hands pipelines that transform model predictions into calibrated spatial data with an accent on multi-view geometry, temporal filtering, and inverse kinematics. Focus on enforcing physical constraints, designing QA metrics, and delivering reliable reconstruction data at scale.
Location: On-site in Toronto GTA or New York
Salary: CA$200K–CA$230K total wage range, plus equity; compensation may vary by hiring location.
Company
builds data infrastructure for robotics and embodied AI, including data capture, labeling, and hardware-enabled workflows for AI labs and robotics companies.
What you will do
- Own classical 3D geometry for spatial reconstruction, including triangulation, PnP, camera calibration, undistortion, reprojection, and coordinate transforms.
- Design temporal filters and interpolation methods that reduce jitter while preserving real motion.
- Apply inverse kinematics and rigid-body or bone-length constraints to maintain valid reconstructed skeletons.
- Convert model outputs into per-frame data, reports, QA metrics, and production pipelines that operate at scale.
- Build visualizers and dashboards for trajectories, overlays, and failure-case inspection.
- Act as the classical computer-vision specialist across pipeline geometry, filtering, and data-quality challenges.
Requirements
- 5+ years of professional experience in software engineering and computer vision.
- Strong production Python skills; C++ is a plus.
- Experience with multi-view geometry, triangulation, PnP, camera calibration, reprojection, and coordinate transforms.
- Experience with temporal filtering, signal processing, low-pass and Kalman-family filters, and interpolation.
- Experience with inverse kinematics and rigid-body or bone-length constraints for articulated structures.
- Working knowledge of pose and mesh regression models, their outputs, and failure modes, without requiring model training experience.
Nice to have
- Human pose or mesh reconstruction, including hand or body keypoint and mesh pipelines.
- Bayesian filtering, state estimation, Ceres, or GTSAM.
- Trajectory visualizers, overlay tools, or QA dashboards.
- Stereo, multi-view, or ego-exo capture experience.
- Light temporal machine learning for smoothing or gap-filling.
Culture & Benefits
- Inclusive and supportive candidate experience with interview accommodations available.
- Equal-opportunity hiring and a work environment free from discrimination, harassment, and retaliation.
- Compensation may include equity, health and wellness benefits, and other company programs.
- AI may support administrative recruitment tasks, while human team members make evaluation and hiring decisions.
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