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Computer Vision Jobs in Ontario (NOW HIRING)

OpenSpace

Sr. Computer Vision Engineer

Toronto, ON

CA$168K - CA$220K/yr

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 ...

WESTFALIA TECHNOLOGIES INC

This role applies artificial intelligence, computer vision, and robotics technologies to advance automation capabilities and support vision-guided robotic systems used in material handling and ...

Amazon

Applied Scientist, Ring AI

Toronto, ON · On-site

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers. Here at Ring, we have a unique opportunity to innovate and see ...

Amazon

Applied Scientist, Ring AI

Toronto, ON

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers. Here at Ring, we have a unique opportunity to innovate and see ...

Amazon

Applied Scientist III, RBKS AI

Toronto, ON

We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer ...

Amazon

Applied Science Manager III, RBKS AI

Toronto, ON · On-site

We are working at the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking Applied Science Manager to lead initiatives that combine advanced computer ...

indie

Perception Software Engineer

Toronto, ON

Develop, optimize, test, and maintain computer vision algorithms and tools related to camera calibration and geometric transformations for embedded platforms and PC-based environments. * Integrate ...

Waabi

Senior / Staff Perception Engineer

Toronto, ON · On-site

CA$158K - CA$269K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

HeyGen

Research Engineer

Toronto, ON · On-site

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at the forefront of revolutionizing video content with state-of-the-art artificial intelligence ...

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

indie

Senior Firmware Applications Engineer

Toronto, ON

CA$110K - CA$152K/yr

Hands-on experience with camera technologies, image/video processing pipelines, image sensors, and computer vision applications * Strong skills in embedded SW engineering with hands-on experience ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON

CA$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance ...

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Computer Vision information

What is a computer vision?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What does a computer vision professional do?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What are the key skills and qualifications needed to thrive in computer vision?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Ontario?

The most popular types of Computer Vision jobs in Ontario are:

What are popular job titles related to Computer Vision jobs in Ontario?

For Computer Vision jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computer Vision jobs in Ontario look for?

The top searched job categories for Computer Vision jobs in Ontario are:

What cities in Ontario are hiring for Computer Vision jobs?

Cities in Ontario with the most Computer Vision job openings:

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Ontario as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Sr. Computer Vision Engineer

OpenSpace

Toronto, ON

CA$168K - CA$220K/yr

Full-time

Posted 21 days ago

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.