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Senior Computer Vision Engineer Jobs in Toronto, ON

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 ...

The Senior Firmware Applications Engineer is responsible for designing and developing camera ... Experience in deep learning (e.g., object detection) for computer vision is a plus * Bachelor ...

Senior / Staff Perception Engineer

Toronto, ON · On-site

CA$158K - CA$269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Keeping current on the latest design tools and aids in CAD/civil 3D / Microstation / InRoads / Open ... senior CAD staff. Qualifications * University degree in Civil Engineering and Licensed as a ...

Keeping current on the latest design tools and aids in CAD/civil 3D / Microstation / InRoads / Open ... senior CAD staff. Qualifications * University degree in Civil Engineering. * Licensed as a ...

Keeping current on the latest design tools and aids in CAD/civil 3D / Microstation / InRoads / Open ... senior CAD staff. Qualifications Required * Bachelor's degree in Civil Engineering. * Licensed ...

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ... Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ...

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 ...

The engineer will build intelligent systems that bridge AI with enterprise software, industrial ... Computer Vision * Multimodal AI * Liquid Foundation Models (LFMs) * Sensor Intelligence * Robotic ...

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 ...

The engineer will build intelligent systems that bridge AI with enterprise software, industrial ... Computer Vision * Multimodal AI * Liquid Foundation Models (LFMs) * Sensor Intelligence * Robotic ...

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Showing results 1-20

Senior Computer Vision Engineer information

See Toronto, ON salary details

$108.3K

$172.5K

$213.3K

How much do senior computer vision engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior computer vision engineer in Toronto, ON is $172,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,831.00 and $197,548.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

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

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.
What are the most commonly searched types of Computer Vision Engineer jobs in Toronto, ON? The most popular types of Computer Vision Engineer jobs in Toronto, ON are:
What job categories do people searching Senior Computer Vision Engineer jobs in Toronto, ON look for? The top searched job categories for Senior Computer Vision Engineer jobs in Toronto, ON are:
Infographic showing various Senior Computer Vision Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $172,548 per year, or $83 per hour.

Sr. Computer Vision Engineer

OpenSpace

Toronto, ON

CA$168K - CA$220K/yr

Full-time

Posted 14 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.