LogoFresh Jobs Ahead
Mecka
Mecka
11 – 50 Zaposleni
PodjetjeSaaSUmetna inteligenca

Mecka razvija infrastrukturo za fizično umetno inteligenco ter ekipam na področju robotike in utelešene umetne inteligence pomaga pretvarjati človekove dejavnosti v resničnem svetu v sisteme, ki se lahko učijo, jih je mogoče vrednotiti in zanesljivo delujejo zunaj laboratorija. Njena platforma Egoverse združuje obsežne egocentrične nabore podatkov s telemetrijo vida, globine, tipnega zaznavanja, gibanja in lokalizacije.

Mecka z razvojnimi orodji, API-ji in poslovnimi storitvami podpira vrednotenje in uvajanje robotskih sistemov za specifične naloge. Podjetje sodeluje s proizvajalci strojne opreme, razvijalci modelov in komercialnimi partnerji ter zagotavlja podatkovni in operativni sloj za robotiko, ne da bi samo izdelovalo robote.

LinkedIn
Delovna mesta v podjetju

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 $ / leto
HibridnoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaInženir računalniškega vidaInženir strojnega učenja
C++Python

Opis

  • 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.

Zahteve

  • 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.

Ugodnosti

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

Sorodna delovna mesta

Safe Fleet

Senior Software Engineer, AI Product Engineering

Safe Fleet
1001 – 5000 Zaposleni
Sponzor vizuma H1BGradbeništvoProizvodnjaZdravstveno varstvo
CAKanada
120.000 $ – 140.000 $ / leto
HibridnoPolni delovni časSeniorZahtevani Jezik: angleščinaInženir strojnega učenjaInženir umetne inteligence
AWSAzureGoogle Cloud PlatformOblakSDLC

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.

Odpri