Drimva

OpenSpace

Sr. Computer Vision Engineer

Canada +1 · Senior · Full-time · Posted Jul 24, 2026

Location
Canada
U.S.
Experience
5+ years of industry experience developing computer vision and machine learning models for image processing; alternatively, the posting allows equivalent industry experience in place of the stated degree.
Education
M.S./Ph.D. in related field or equivalent industry experience.

About the job

Owns and develops computer vision and machine learning algorithms for mapping, localization, image analysis, and 3D reconstruction using construction-site data.

What you'll do

  • Design and optimize computer vision and machine learning systems, including SLAM, SfM, localization, and 3D reconstruction.
  • Develop, prototype, and test visual perception models; work with platform engineers to move research prototypes into production.
  • Oversee dataset creation and annotation, and monitor production performance for scalability and robustness.

What they ask for

  • 5+ years of industry experience developing computer vision and machine learning models for image processing.
  • Strong expertise in camera models, calibration, and 3D pose representations/transforms; experience with SLAM, SfM, 3D reconstruction, photogrammetry, or VIO.
  • Proficiency in deep learning frameworks and experience with multi-modal models combining images and language.
  • Deep understanding of fundamental computer vision, including feature detection/matching, probabilistic modeling, computational geometry, and numerical optimization.

Nice to have

  • Experience with 3D visualizations and debug interfaces (OpenGL/PyQt).

Pay

$168,000 - $220,000 CAD (base salary)

Tools

SLAM, SfM, VIO, PyTorch, LLMs, VLLMs, transformers, OpenGL/PyQt

AI focus

Applies deep learning, transformers, multimodal models, and generative AI to visual perception, image-language understanding, and construction-site insights.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 4, 2026 (UTC)