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, VLMs, 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).

Why join us:

• Be part of a high-growth company shaping the future of ConTech
• Work alongside a talented and collaborative team
• Competitive compensation package, including base salary, commission, and benefits
• Opportunities for professional development and career growth

Base Salary: $160,000 - $220,000

The Base Salary range represents the low and high end of the anticipated salary range for this position across all US locations including but not limited to CA, CO, NY, WA, NV, MD, CT and RI. The determination of this anticipated Base Salary involves the consideration of many factors in making compensation decisions including but not limited to: location of candidate, unique skill sets, experience, training, performance, licensure and certifications, as well as other business and organizational needs. Our anticipated Base Salary determination is just one component of OpenSpace’s competitive total rewards strategy that also includes a 401k match, as well as other region-specific health and wellness benefits.

OpenSpace welcomes employees from varied backgrounds and walks of life, and it’s reflected in our diverse community. OpenSpace is proud to be an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.