Sr. Computer Vision Engineer

At OpenSpace, we’re redefining how the world’s most complex projects are built. Our AI-powered Visual Intelligence Platform uses computer vision and spatial AI to give construction teams a real-time view of what’s happening on-site, helping them build faster, safer, and with greater confidence.

But what truly sets us apart is our people. We hire curious, driven teammates who love solving hard problems, taking ownership, and making a real-world impact. Great people build great culture—and apparently it shows. Forbes has named OpenSpace one of America’s Best Startup Employers five years in a row. Come see what all the fuss is about.✨

The role:

The Sr. Computer Vision Engineer owns core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data. This role centers on advanced computer vision but integrates modern machine learning methodologies to optimize performance on real-world construction site data. You will leverage classical CV, deep learning (transformers, multi-modal models), and probabilistic modeling to provide meaningful insights to our customers.

What you’ll be doing:

• 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, leveraging modern techniques (LLMs, VLLMs, transformers, 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.

What we are looking for:

• M.S./Ph.D. in related field or equivalent industry experience.

• 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 (e.g., PyTorch).

• Experience working with multi-modal models combining images and language.

• Deep understanding of fundamental CV: feature detection/matching, probabilistic modeling, computational geometry, and numerical optimization.

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