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Computer Vision Engineer Jobs in Ontario (NOW HIRING)

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

AI Engineer

Ottawa, ON · On-site

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 ...

Head of Engineering

Toronto, ON · On-site

$120 - $180/hr

... core, computer vision-heavy automation platform for the industrial design and spatial planning ... Core Mission As the Head of Engineering, you will assume full ownership of the technology ...

Integrate new image and video processing capabilities (e.g., warping, computer vision) from ... Strong C programming and debugging skills in RTOS environments * Experience solving real-time ...

$225 - $275/hr

Background in AI, computer vision/robotics or calibration algorithms is beneficial. * Proven leadership of multi-disciplinary engineering organizations * Strong systems thinking across complex ...

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

Embedded Engineer - Scientific Robotics & Automation Location: Flexible / Hybrid (in-office ... Computer vision and feature detection * Machine learning or signal analysis * Predictive ...

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 ...

Background in AI, computer vision/robotics or calibration algorithms is beneficial. * Proven leadership of multi-disciplinary engineering organizations * Strong systems thinking across complex ...

You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We ...

Maya HTT is a world leading developer of digital industries software solutions. The world's top ... or computer vision * Familiarity with industrial environments such as manufacturing, energy ...

Research Engineer, Calibration

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... computer vision, machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly ...

Computer vision and ML experience is a plus * We are looking for smart, capable developers who can learn what they need quickly to succeed * Ability to think about long-term maintenance when creating ...

Computer vision and ML experience is a plus * We are looking for smart, capable developers who can learn what they need quickly to succeed * Ability to think about long-term maintenance when creating ...

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Showing results 1-20

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 Jul 22, 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 do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

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.

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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 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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
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:
Infographic showing various Computer Vision Engineer job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $130,783 per year, or $62.9 per hour.
Applied Scientist III, RBKS AI

Applied Scientist III, RBKS AI

Amazon

Toronto, ON • On-site

Full-time

Posted 12 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,998 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. 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 vision and multimodal GenAI capabilities.

This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems.
The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience.
Key job responsibilities
* Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding
* Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference
* Map product requirements into science solutions and deliver high-quality science artifacts that ship to products
* Collaborate with scientists, engineers, product/program managers and other cross-functional teams
* Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US