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. ✨

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).

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: $152,000-220,000

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 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.