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Computer Vision Engineer Jobs in Ontario (NOW HIRING)

OpenSpace

Sr. Computer Vision Engineer

Toronto, ON

CA$168K - CA$220K/yr

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 ...

Magna

Computer Vision Engineering Co-op

Toronto, ON

CA$24.50 - CA$28.50/hr

Position Overview We are seeking a motivated Computer Vision Engineering Co Op Student to join our team. This role requires a basic understanding of computer vision and machine learning technologies ...

indie

Perception Software Engineer

Toronto, ON

The ideal candidate is a self-driven engineer with strong problem-solving skills, deep expertise in computer vision and embedded software development, and a passion for delivering high-quality ...

Invision AI

Machine Learning Engineer

Toronto, ON · Hybrid

Our Company Invision AI is building a universal AI platform for computer vision applications ... The Role As a Machine Learning Engineer, you will work across the full machine learning lifecycle ...

Invision AI

Machine Learning Engineer

Toronto, ON · On-site

Our Company Invision AI is building a universal AI platform for computer vision applications ... The Role As a Machine Learning Engineer, you will work across the full machine learning lifecycle ...

New

HeyGen

Research Engineer

Toronto, ON · On-site

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at ... Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead ...

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 ...

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 ...

Musashi AI North America

A technology firm in Ontario seeks a Staff AI Engineer to lead the deployment and integration of AI ... Candidates should possess deep knowledge of computer vision, Python, C++, and frameworks like ...

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 ...

Spaceium

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

Develop perception pipelines (computer vision, sensor fusion) for pose estimation, object/target ... Strong programming skills in Python * Experience with machine learning frameworks (PyTorch ...

Moonvalley

Join Moonvalley as a Generative AI Model Developer and work on Hollywood's next big cinematic ... This role is focused on research-driven advancements in computer vision. As part of our hybrid team ...

New

Amazon

Applied Scientist, Ring AI

Toronto, ON · On-site

... computer vision and Vision Language models algorithms. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring ...

Amazon

Applied Scientist III, RBKS AI

Toronto, ON

We are working in the intersection of computer vision, generative AI (GenAI), and ambient ... Collaborate with scientists, engineers, product/program managers and other cross-functional teams

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Ontario

Computer Vision Engineer information

See Ontario salary details

$81.5K

$130.8K

$197K

How much do computer vision engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for computer vision engineer in Ontario is $130,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

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

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

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

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

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

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

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $130,783 per year, or $62.9 per hour.

Sr. Computer Vision Engineer

OpenSpace

Toronto, ON

CA$168K - CA$220K/yr

Full-time

Re-posted 5 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.

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