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
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.
Skills Required
- M.S. or 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, numerical optimization
- Experience with 3D visualizations and debug interfaces (OpenGL/PyQt)
OpenSpace Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OpenSpace and has not been reviewed or approved by OpenSpace.
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Healthcare Strength — Benefits include fully paid core health coverage for eligible employees. Coverage spans medical, dental, and vision as part of a modern package.
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Retirement Support — Employer 401(k) matching is offered as part of the standard package. This indicates attention to long‑term financial security alongside salary.
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Equity Value & Accessibility — Equity is provided for all full‑time roles, making ownership broadly accessible. This supports total compensation competitiveness beyond base pay.
OpenSpace Insights
What We Do
OpenSpace is on a mission to bring new levels of transparency to construction. We combine simple off-the-shelf 360° cameras, computer vision, and AI to make it incredibly easy to capture a complete visual record of a jobsite, share it via the cloud, and track progress remotely. Our customers have used the platform to capture over four billion square feet of active construction projects around the world. OpenSpace is based in San Francisco, California.
