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Mecka
Mecka
11 – 50 Xodimlar
KorxonaSaaSSun’iy intellekt

Mecka Physical AI uchun infratuzilma yaratadi va robototexnika hamda jismoniy muhitda ishlaydigan sunʼiy intellekt jamoalariga real hayotdagi inson faoliyatini o‘rganadigan, baholanadigan va laboratoriyadan tashqarida ishonchli ishlaydigan tizimlarga aylantirishda yordam beradi. Uning Egoverse platformasi katta hajmdagi egosentrik maʼlumotlar to‘plamlarini ko‘rish, chuqurlik, taktil sezish, harakat va joylashuv haqidagi telemetriya bilan birlashtiradi.

Mecka dasturchilar uchun vositalar, API’lar va korporativ xizmatlar orqali muayyan vazifalarga mo‘ljallangan robot tizimlarini baholash va joriy etishni qo‘llab-quvvatlaydi. Kompaniya robotlarning o‘zini ishlab chiqarmasdan, robototexnika uchun maʼlumotlar va operatsion qatlamni taqdim etadi hamda apparat OEM ishlab chiqaruvchilari, model yaratuvchilari va tijoriy hamkorlar bilan ishlaydi.

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Kompaniyadagi ish o‘rinlari

3D Computer Vision Engineer at Mecka (Toronto Hybrid)

Lead 3D geometry, temporal filtering, and inverse kinematics for robotics and embodied AI. Help build reliable data infrastructure and quality checks for production systems.

CAKanada
200 000 $ – 230 000 $ / yil
GibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaKompyuter ko‘rishi muhandisiMashinaviy o‘qitish muhandisi
C++Python

Tavsif

  • Develop classical 3D geometry for multi-view reconstruction, triangulation, PnP, camera calibration, undistortion, and reprojection.
  • Tune temporal filters to reduce jitter while preserving genuine motion.
  • Apply inverse kinematics and physical constraints, including rigid bone lengths.
  • Create validation checks that keep faulty frames out of delivered data.
  • Turn model outputs into clean datasets, reports, and quality metrics.
  • Maintain a data pipeline that operates at scale.
  • Create visualizers and dashboards for trajectories, overlays, and failure analysis.
  • Provide classical computer vision expertise across the organization.
  • Work with research teams and interpret model behavior without training models.

Talablar

  • At least five years of professional experience in software engineering and computer vision.
  • Write clean, efficient Python for production; C++ experience is a plus.
  • Strong command of multi-view geometry, including triangulation, PnP, camera calibration, reprojection, and coordinate transforms.
  • Experience with temporal filtering and signal processing, including low-pass and Kalman-family filters and interpolation.
  • Knowledge of inverse kinematics and rigid-body or bone-length constraints for articulated structures.
  • Experience interpreting deep model outputs and failure modes, such as those from pose and mesh regressors; model training is not required.
  • Comfort working with noisy real-world data and building quality checks that catch issues before customers do.
  • Human pose or mesh reconstruction experience is a plus.
  • Bayesian filtering, state estimation, and optimization tools such as Ceres or GTSAM are a plus.
  • Experience creating computer vision tools such as trajectory visualizers and overlay or quality dashboards is a plus.
  • Stereo, multi-view, or ego-exo capture experience is a plus.
  • Experience with lightweight temporal machine learning is a plus.

Imtiyozlar

  • Equity.
  • Health and wellness benefits.
  • Additional company programs.

O‘xshash ish o‘rinlari

Safe Fleet

Senior Software Engineer, AI Product Engineering

Safe Fleet
1 001 – 5 000 Xodimlar
H1B vizasi homiysiIshlab chiqarishQurilishSog‘liqni saqlash
CAKanada
120 000 $ – 140 000 $ / yil
GibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutGoogle Cloud PlatformSDLC

Build production AI features and services for Safe Fleet’s fleet safety platform. Apply large language models, machine learning, computer vision, and AI agent engineering.

Ochish