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Sr. Computer Vision Engineer
Summary by AIEngineer.careers
Sr. Computer Vision Engineer is a Computer Vision Engineer role (full-time). with OpenSpace. in CANADA, CA. Compensation shown: $112K–$147K (est.). Imported listing (source: feeny.ai). Apply on the employer's site (feeny.ai).
Imported listing (source: feeny.ai) · Apply on feeny.ai
CANADA · CA
$112K–$147K (est.)
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from feeny.ai
OpenSpace is seeking a Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data. The role blends classical computer vision with modern deep learning, including transformers and multi-modal models, to deliver actionable insights. You will design and optimize complex CV/ML systems and collaborate with platform engineers to productionize research prototypes.
Responsibilities
- Design and architect complex, multi-component computer vision and machine learning systems.
- Develop and optimize image localization, SLAM, SfM, and 3D reconstruction techniques.
- Implement deep learning models for visual perception using transformers, LLMs, VLLMs, and generative AI.
- Prototype and rigorously test algorithms on real-world construction site data.
- Collaborate with platform engineers to transition research prototypes into production-ready implementations.
- Oversee dataset creation, curation, and annotation to ensure high-quality training and validation data.
- Monitor system performance in production, ensuring scalability and robustness.
Requirements
- M.S./Ph.D. in a related field or equivalent industry experience.
OpenSpace
San Francisco · US · 407+ employees
OpenSpace is a construction-technology software company founded in 2017 and headquartered in San Francisco. Its visual-intelligence platform captures construction-site reality using smartphones, 360-degree cameras, and drones, then turns that data into actionable project intelligence and workflows.
