Sr. Computer Vision Engineer U.S.

OpenSpace; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity awards

401k match

Health benefits

Job summary

OpenSpace in the United States seeks a senior Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data. You will apply classical CV, deep learning, and probabilistic modeling to deliver actionable insights for our customers.

You’ll design multi-component vision systems, prototype on site data, and collaborate with platform engineers to productionize research while guiding dataset creation and performance

Qualifications

• MS/PhD in a related field or equivalent industry experience.
• 5+ years of industry experience developing computer vision and ML 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 with multi-modal models combining images and language.
• Deep understanding of CV: feature detection/matching, probabilistic modeling, geometry, optimization.
• Experience with 3D visualizations and debug interfaces (OpenGL/PyQt).
• Be part of a high-growth company shaping the future of ConTech
• Work alongside a talented and collaborative team

Responsibilities

• Design and architect complex, multi-component computer vision and ML systems.
• Develop and optimize image localization, SLAM, SfM, and 3D reconstruction techniques.
• Implement deep learning models for visual perception using modern techniques (LLMs, VLLMs, transformers).
• Prototype and rigorously test algorithms on real-world construction site data.
• Collaborate with platform engineers to productionize research prototypes.
• Oversee dataset creation, curation, and annotation for high-quality training data.
• Monitor system performance in production for scalability and robustness.

Skills

CV/ML for image processing

Camera models & 3D pose

SLAM/SfM/3D reconstruction

Multi-modal models

Fundamentals of CV

3D visualization & debugging tools

Education

M.S./Ph.D. or equivalent

Tools

PyTorch

Job description

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.

Brief summary of role:

We're looking for an experienced Sr. Computer Vision Engineer to own 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).
• 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

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 equity awards, 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.

As set forth in OpenSpace’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.