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Computer Vision Engineer Jobs in Ontario (NOW HIRING)

ATS Automation

Team Lead, Vision

Cambridge, ON

CA$600/day

Compensation: $50 - $68.75 CAD per hour * Annual Performance-Based Incentive Bonus * 5% RRSP match ... Half-Day Fridays * Working on challenging engineering projects. * Continuous learning and career ...

Geotab

Senior Data Scientist

Oakville, ON

What you'll bring to this role: * 5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role. * Bachelors degree in Data Science, Mathematics, Computer Science ...

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

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 ...

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 ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

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 ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Beyond SOF

CA$121K - CA$140K/yr

Embedded Systems Software Engineer Experience level: Mid-senior Experience required: 5 Years ... based computer vision solutions. GEO ships camera video processors in diverse automotive ...

Addy Global Solutions

AI Manager

Woodbridge, ON

CA$120K - CA$150K/yr

Key Responsibilities: • Develop and implement AI solutions for manufacturing and engineering processes • Work on computer vision, predictive maintenance, process optimization, and automation • ...

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

Spaceium

AI Engineer

Ottawa, ON

CA$75K - CA$110K/yr

As an AI Engineer, you will develop intelligent systems that enable autonomous decision-making ... Knowledge of computer vision or sensor fusion techniques * Experience with MLOps, model monitoring ...

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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 Jun 1, 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 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 are Computer Vision Engineers?

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 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 May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,783 per year, or $62.9 per hour.

Senior Computer Vision Engineer

Birdseye Solutions

Mississauga, ON • Hybrid

Full-time

Posted 9 days ago

Job description

COMPANY OVERVIEW:

Birdseye's mission is to help make the world a safer place!
We are the leader in AI-driven Remote Facility Supervision solutions for the Trucking and Logistics Industry. Our Maximum Telepresence Approach delivers cutting-edge, data-driven security and operational insights that create a safer working environment for millions of people every year.
We provide end-to-end, cutting-edge hardware and AI-driven solutions, redefining security beyond traditional gatehouses. By empowering our professionally trained monitoring agents, we achieve 99.99% reporting accuracy in mission-critical security, safety, and operational support -24/7/365- for some of the world's largest logistics facilities, as well as small and medium-sized businesses.
If you're ambitious, thrive in a fast-paced environment, and align with our ICARE values, Birdseye will be the perfect fit for you. If you're wondering what the world will look like in 10 years - join our Team!


As a member of our team, you will have the opportunity to work on cutting-edge AI projects, collaborate with some of the brightest minds in the industry, and grow both personally and professionally. We believe in providing our employees with the resources and support they need to succeed, and we are committed to helping you reach your full potential.

In addition to a competitive salary and benefits package, we offer a range of perks and perks such as flexible work hours, remote work options, and opportunities for professional development. We also have a strong culture of teamwork and collaboration, and we believe that everyone's contributions are valuable and appreciated.


Responsibilities:

  • Design AI algorithms for a broad range of applications relating to the site-monitoring industry (facial recognition, OCR, object detection, object tracking)
  • Regular maintenance and improvement of existing services
  • Ensuring functionality and optimization of services via regular testing and feedback
  • Researching new technology and tools
  • Communicating in a clear and structured way with colleagues and managers to ensure optimal collaboration and teamwork
  • Following the agreed team or project processes and procedures, including reporting to superiors on status of project/release/task efforts and key issues


    Requirements:

    • Degree in any field relating to computational methods
    • Experience in designing classical and modern computer vision algorithms pertaining to any of the following: image denoising, facial recognition, OCR, object detection/tracking
    • Strong knowledge in modern AI methods with experience designing custom architectures
    • Excellent programming skills in Python or C++
    • Experience in MLOps is a plus
    • Experience with AI on Cloud/Edge is a plus
    • English speaking and writing proficiency


    This role will require the candidate to complete background checks (includes but not limited to: references, educational verification, criminal check, credit check - where applicable). Certain roles may also require testing.

    #LI-Hybrid

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