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4 дня назад

Computer Vision Engineer (Robotics)

200 000 - 230 000CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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