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Computer Vision Engineer Jobs in Ontario (NOW HIRING)

AI Engineer

Ottawa, ON ยท 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 ...

We are investing in latent-diffusion and DiT models, LLMs, computer vision, reinforcement learning ... We are seeking an experienced Software Development Engineer who is adept at a variety of skills ...

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 ...

Senior / Staff Software Engineer, Mapping

Toronto, ON ยท On-site +1

CA$141K - CA$242K/yr

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 ...

Research Engineer, Calibration

Toronto, ON ยท 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 ...

Sr. AI/ML Engineer

Toronto, ON ยท Hybrid

CA$110K - CA$145K/yr

... computer vision), are considered strong assets. * Comfortable working in Agile or iterative ... Knowledge of data engineering concepts (data pipelines, feature stores, streaming) * Prior ...

Research Scientist

Toronto, ON ยท On-site

CA$158K - CA$269K/yr

... learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at top ...

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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 6, 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 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 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.
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 May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $130,783 per year, or $62.9 per hour.

AI Engineer

Spaceium

Ottawa, ON โ€ข On-site

CA$75K - CA$110K/yr

Other

Posted 20 days ago


Job description

At Spaceium, we are building spacecraft systems designed to push the boundaries of what's possible in orbit. As an AI Engineer, you will develop intelligent systems that enable autonomous decision-making, anomaly detection, and adaptive operations for our spacecraft. You will work at the intersection of machine learning and space systems, building AI capabilities that operate reliably in resource-constrained, high-stakes environments.

Responsibilities
  • Design and develop AI/ML models for spacecraft autonomy, anomaly detection, and predictive maintenance
  • Build data pipelines for training, evaluation, and deployment of models
  • Develop reinforcement learning or planning algorithms for autonomous on-orbit operations
  • Integrate AI systems with flight software and ground segment tools
  • Create simulation environments for training and validating AI models
  • Collaborate with software, systems, and operations engineers on AI-driven features
  • Research and prototype novel approaches to space-specific AI challenges
Basic Qualifications
  • Bachelor's degree in Computer Science, AI/ML, Mathematics, or a related field
  • Strong programming skills in Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow, or similar)
  • Understanding of statistics and mathematical foundations of ML
  • Experience with version control systems such as Git
What We're Looking For

We're building technology that hasn't been done before. Experience is helpful, but curiosity, drive, and the ability to learn quickly matter more. If you're excited about spacecraft, enjoy solving hard engineering problems, and want to help build something new, we encourage you to apply - whether you're early in your career or more experienced.

Preferred Skills
  • Creative problem solver with strong first-principles thinking, capable of assessing risk and making decisions with limited data.
  • Experience in a nimble, technical engineering role, with a scrappy, entrepreneurial approach to meeting tight time or budget constraints.
  • Experience deploying ML models on edge devices or resource-constrained platforms
  • Familiarity with reinforcement learning, planning, or decision systems
  • Knowledge of computer vision or sensor fusion techniques
  • Experience with MLOps, model monitoring, and continuous training pipelines
  • Understanding of spacecraft operations or autonomous systems
  • Excellent verbal and written communication skills, collaborative team player, and detail-oriented with a focus on quality.
Additional Requirements
  • Extended hours and weekend work may be required to support critical project and mission milestones.
  • This role requires a physical presence at the Ottawa facility.
Compensation
  • Salary: $75,000 - $110,000 CAD per year
  • Equity: 0.1% -0.5%

If you're excited about shaping the future of space systems, we'd love to hear from you.

Please submit any projects that you have worked on.ย