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Computer Vision Engineer Jobs in Ontario (NOW HIRING)

Mercor

Machine Learning Engineer - Expert

Toronto, ON · On-site +1

CA$90/hr

Machine Learning Engineer Expert Type: Contract Compensation: $90/hour Location: Remote Role ... computer vision, recommendation systems, ranking systems, time-series forecasting. * Ability to ...

Sage Recruiting

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 ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON

CA$60/hr

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 ...

Ametek

Director of Engineering

Waterloo, ON

CA$225K - CA$275K/yr

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

Waabi

Senior / Staff Software Engineer, Mapping

Toronto, ON · 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 ...

Waabi

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 ...

Waabi

Research Scientist

Toronto, ON

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 ...

BinSentry

Software Developer

Kitchener, ON

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 ...

BinSentry

Software Developer

Kitchener, ON · On-site

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 ...

Magna

Robotics Engineering Co-op

Toronto, ON

CA$24.50 - CA$28.50/hr

They have experience withROS(2), robotic programming and controls, and initial exposure to ... Familiarity with AI/ML methods, particularly for computer vision tasks and tactile sensing.

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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 Jun 27, 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.
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 June 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $130,783 per year, or $62.9 per hour.

Machine Learning Engineer - Expert

Mercor

Toronto, ON • On-site, Remote

CA$90/hr

Full-time

Posted 3 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Machine Learning Engineer Expert
Type: Contract
Compensation: $90/hour
Location: Remote

Role Responsibilities

  • Develop end-to-end machine learning solutions for challenging prediction and modeling problems.
  • Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.
  • Perform exploratory data analysis, feature engineering, and data preprocessing.
  • Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets.
  • Review and validate the technical quality of machine learning projects and deliverables.
  • Identify opportunities to improve model performance through systematic experimentation and iteration.

Qualifications

Must-Have

  • Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university.
  • 2+ years of professional experience in machine learning, applied AI, data science, or a closely related field.
  • Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).
  • Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation.
  • Strong understanding of model evaluation metrics, validation methodologies, and experimental design.
  • Experience with one or more of the following areas: tabular machine learning, natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting.
  • Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.

Preferred

  • PhD from a leading research university.
  • Experience at leading technology companies, AI labs, research institutions, or high-growth startups.
  • Participation in competitive machine learning or data science competitions.
  • Experience optimizing models against performance-based evaluation metrics.
  • Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning.
  • Publications, patents, or significant open-source contributions in machine learning or AI.
  • Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.