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Entry Level Computer Vision Engineer Jobs in Toronto, ON

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 ...

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 ...

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 • ...

Konrad

Software Developer (Entry Level)

Toronto, ON · Hybrid

CA$85K - CA$95K/yr

About The Role As an entry level Software Developer you'll be tasked with working on both mobile ... Graduated from a Computer Science, Software Engineering, or similar program in a University or ...

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 ...

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 ...

Thundersoft

Embedded Software Test Engineer

Toronto, ON · Remote

CA$70K - CA$110K/yr

Test development for Computer Vision / Machine Learning (CVML) applications for the Edge * Work with Developers in developing unit tests and QA specific test apps * Write detailed test plans for new ...

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 ...

Konrad

Mobile Developer (Entry Level)

Toronto, ON · Hybrid

CA$85K - CA$95K/yr

About The Role As an entry level Mobile Developer you'll be tasked with working on either iOS or ... A strong command of important programming and computer science concepts. * Ability to understand a ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

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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Entry Level Computer Vision Engineer information

See Toronto, ON salary details

$20K

$85.8K

$188K

How much do entry level computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level computer vision engineer in Toronto, ON is $85,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,401.00 and $138,856.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What are popular job titles related to Entry Level Computer Vision Engineer jobs in Toronto, ON? For Entry Level Computer Vision Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Toronto, ON look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Toronto, ON are:
Entry Level Computer Vision Engineer jobs near you
Infographic showing various Entry Level Computer Vision Engineer job openings in Toronto, ON as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $85,787 per year, or $41.2 per hour.

Software Engineer - Computer Vision

Ecopia Tech

Toronto, ON • On-site

Full-time

Posted 11 days ago

Job description

Salary:

Ecopia AIs mission is to create a digital twin of the Earth. Billions of geospatial images are captured every day by satellites, airplanes, vehicles, and personal devices. Ecopia leverages AI to convert high-resolution images of our earth into high-definition (HD) Vector Maps. These maps form a digital representation of reality and are embedded into critical decision-making applications, offering unique insight at scale. Ecopias HD Vector Maps empower a wide range of applications such as smart cities, insurance, real estate, retail, manufacturing, utilities, logistics, autonomous driving, and augmented reality (AR).


Were seeking a passionate, talented engineer to join us at our Toronto office. You will have the incredible experience of working alongside our computer vision and engineering experts. Your work will have a direct impact on our end products, which empower various real-world applications on a scale never thought possible. The position is permanent, full-time and will have a highly competitive salary, annual salary increases and bonuses.


We are looking for talented self-starting engineers who enjoy diving into a subject and getting their hands dirty. With Ecopias flexible hybrid remote working environment, it's your choice to work from home and/or our office, located in the beautiful MaRS Discovery District building at 101 College Street in Toronto. Come join us on the journey to map the world!


KEY RESPONSIBILITIES

  • Develop deep learning algorithms and build software systems to automatically reconstruct 3D built environments, interpret and understand 3D contents from geospatial image data captured by satellites, airplanes, drones, vehicles, and smartphones at a country-scale
  • Collaborate with the product team to transfer research into products that empower various real-world business applications

QUALIFICATIONS

  • Master's or Ph.D. in Computer Science or related field, or equivalent experience
  • Strong programming experience in C / C++ / Python
  • Deep understanding of algorithms and data structures
  • Research experience in machine learning and/or computer vision and/or 3D applications
  • Deep understanding of multiview geometry and 3D computer vision
  • Hands-on experience with semantic segmentation, and/or 3d reconstruction and generation, and/or simultaneous localization and mapping (SLAM)
  • Publications at top venues, e.g. CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, are a plus


OPTIONAL: CODING PUZZLE CHALLENGE

Want to stand out from other applicants? Play with our Tiny Classifier challenge:https://puzzle2026.ecopiatech.com.

Successful submissions will receive a unique code to include in your application, which will improve your priority in our review process.


COMMITMENT TO DIVERSITY AND INCLUSION

Ecopia is committed to fostering a diverse and inclusive working environment. We welcome applications from qualified candidates of all backgrounds, regardless of age, physical ability, gender, race, religion, or sexual orientation. We will provide any requested accommodation to candidates with disabilities throughout the recruitment process.