---
title: 'Sr. Computer Vision Engineer at OpenSpace'
canonical: 'https://feeny.ai/job/sr-computer-vision-engineer-openspace-canada-297e9krhaqvy'
type: 'job'
last_seen: '2026-09-18'
---

# Sr. Computer Vision Engineer at OpenSpace

- **Company:** OpenSpace
- **Location:** Canada
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-09-18
- **Apply:** https://www.openspace.ai/careers?gh_jid=7815750003

## 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).

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: $168,000 - $220,000 CAD

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.

## About OpenSpace

## Company Overview
- **One-liner**: OpenSpace provides a visual intelligence platform that captures construction site reality using smartphones, 360° cameras, drones, and laser scanners, then applies AI to turn that imagery into actionable insights for builders.
- **Entity Type**: Private (Series D)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Jeevan Kalanithi (CEO), Michael Fleischman (CTO), Philip Decamp (Chief Engineer)

## Core Business
- **Primary industry**: Construction technology (PropTech / ConTech)
- **Target customers**: B2B – general contractors, subcontractors, owners, and project managers in commercial, residential, and infrastructure construction
- **Mission or purpose**: To fundamentally simplify how the world gets built by turning jobsite reality into intelligence that drives better, faster decisions.

## Products & Services
- **OpenSpace Capture**: Reality capture solution that automatically maps photos and 360° video to plans and BIM models, creating a timestamped visual record. (SaaS + mobile app)
- **OpenSpace BIM+**: Add-on that brings user-friendly 3D tools to the field, enabling BIM-to-as-built comparison. (SaaS)
- **OpenSpace Track**: AI-powered materials progress tracking that automates the measurement of installed quantities. (SaaS)
- **OpenSpace Field**: Image-based task management with AI Autolocation for field teams. (SaaS)
- **OpenSpace Air**: All-in-one drone imagery management tool. (SaaS)
- **Field Notes**: Visual communication feature that lets team members add voice notes and annotations directly on captured images. (Feature)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (latest round: Series D in 2022 totalling ~$111M)
- **Key Metric**: Total funding of **$200.4M** (as of 2026); annual revenue of **$15.0M** (estimated by third-party data)
- **Notable Investors/Partners**: PSP Growth (lead Series D), Taronga Ventures, GreenPoint Partners, National Science Foundation; strategic integrations with **Procore** and **Autodesk**
- **Growth Signals**: 69 billion ft² captured; 414,000 users across 131 countries; 243 employees (+33.7% YoY); 55% of employees promoted in last two years; ranked on Forbes’ “America’s Best Startup Employers” 2026

## Competitive Advantages
- **Spatial AI technology** that automatically aligns captures to plans and BIM without manual tagging
- **Multi-modal capture** (smartphone, 360° camera, drone, laser scanner) within a single platform
- **Deep integrations** with industry-standard tools (Procore, Autodesk) reduce workflow friction
- **Field-first design** – built by and for construction professionals, with 41% of employees having construction experience
- **Proven ROI** – customers report 95% faster site documentation, 50% reduction in travel costs, and 20% reduction in scheduling delays

## Strategic Focus
- Continue expanding the Visual Intelligence platform with more AI-driven workflows (progress tracking, quality assurance, safety analytics)
- Deepen integrations and partnerships to become the central “system of record” for jobsite data
- Grow global footprint (already in 23 countries) with localized support and sales teams
- Maintain a fully remote, distributed workforce to access talent worldwide

## Why Work Here
- **Fully remote** environment – no mandatory office days; team members in 23+ countries
- **Equity** for all full-time roles
- **Flexible time off** and paid parental leave
- **$500 home office budget** and 100% paid medical, dental, and vision for U.S. employees
- **Employer 401k matching**
- **High growth and internal mobility** – 55% of employees promoted in the past two years; 94% of engineering team at senior or staff level
- **Mission-driven culture** – work on problems that address affordable housing, infrastructure, and climate resilience
- **In-person company retreats** and virtual gatherings foster connection across a distributed team
- Rated **4.2/5.0 on LinkedIn** (68 reviews), with strong marks for compensation (4.5) and culture (4.1)

## Sources
1. [openspace.ai](https://www.openspace.ai/)
2. [openspace.ai/careers](https://www.openspace.ai/careers/)
3. [linkedin.com](https://www.linkedin.com/company/openspace.ai)
4. [openspace.ai/about](https://www.openspace.ai/about/)
5. [support.openspace.ai](https://support.openspace.ai/hc/en-us/articles/41951086810387-What-is-OpenSpace)

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