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# Sr. Computer Vision Engineer

- **Company:** OpenSpace
- **Location:** United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Image Analysis, Software Debugging, Monitoring of Systems, Machine Learning, OpenGL, Computational Geometry, Pytorch, Large Language Models, Deep Learning, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/sr-computer-vision-engineer-openspace-8632789

## About the Role

* 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).

## Description

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.