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Entry Level Computer Vision Engineer Jobs in Toronto, ON

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 ...

Research Engineer

Toronto, ON ยท 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 ...

Senior Machine Learning Engineer

Toronto, ON ยท 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 ...

Senior Machine Learning Engineer

Toronto, ON ยท 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 ...

Software Developer (Entry Level)

Toronto, ON ยท 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 ...

We are the leading provider of sustainable Engineering, Architecture, Construction and Consulting solutions to the global life sciences and food and beverage industries. Our employees provide best-in ...

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 ...

Embedded Software Test Engineer

Toronto, ON ยท 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 ...

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 ...

Tasks will include utilizing software for building information modeling, computer-aided drafting ... This individual may also delegate basic and fundamental tasks to entry-level engineers and ...

Research Scientist, Learnable Planner

Toronto, ON ยท 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 ...

Mobile Developer (Entry Level)

Toronto, ON ยท 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 ...

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

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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 Aug 7, 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 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 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 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 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:
Infographic showing various Entry Level Computer Vision Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $85,787 per year, or $41.2 per hour.

Software Design Engineering (Artificial Intelligence) Co-op Student

Alabama Industrial Development Training

Woodbridge, ON โ€ข On-site

Other

Vision

Posted 10 days ago


Job description

Martinrea
Martinrea is a diversified global automotive supplier engaged in the design, development and manufacturing of highly engineered, value-added Lightweight Structure and Propulsion Systems.
Job Summary
As a Software Design Engineering Co-op you will be joining the process innovation team focused on building the factory of the future. We are a young and ambitious team developing high-tech cutting-edge products for improving the quality & efficiency of our automated production while improving the lives of our staff/colleagues.
Your role will be part of our Computer Vision team where you will be developing products to improve the quality of the parts we make and modernize common manufacturing processes.
Topics may include: camera hardware interfacing, vision analysis pipelines, machine learning, GPU computing, etc.
The broader team is also responsible for building autonomous vehicles, web apps, and a broad all-encompassing development framework/platform for building, developing, and deploying our solutions. This is a fully in-person role.

Required Skills
Hard Minimum Qualifications

  • Proficient with Python, data structures, and algorithms
  • Experience working with Linux-based operating systems (such as: Debian, Ubuntu)

Expected Qualifications

  • Currently enrolled in and returning to a post-secondary Engineering, Computer Science, Software Engineering, Mechatronics, Robotics, or related program.
  • Strong proficiency in Python, data structures, and algorithms.
  • Experience developing software projects beyond academic coursework.
  • Experience with Linux and Git-based development workflows.
  • Comfortable applying mathematical concepts such as linear algebra in code.
  • Experience with at least one of: Computer Vision, Machine Learning, Robotics, or Embedded Systems.
  • Ability to independently debug and solve complex technical problems.ย 

Bonus Points

  • Developed computer vision applications using OpenCV.
  • Experience with C++, CUDA, Raspberry Pi, NVIDIA Jetson, or similar technologies.
  • Experience working with cameras, sensors, robots, or industrial hardware.
  • Completed courses such as Computer Vision, Machine Learning, Linear Algebra II, or advanced Algorithms/Data Structures.
  • Participated in robotics teams, engineering design teams, research projects, hackathons, open-source projects, or technical competitions.
  • Demonstrated leadership through technical projects, student organizations, or engineering teamsย 

Tools and Skills You May Develop

  • Advanced software development in Python and C++.
  • GPU computing and optimization using CUDA.
  • Industrial computer vision system design and deployment.
  • Camera hardware, optics, and image sensor technologies.
  • Machine learning and deep learning for image analysis.
  • OpenCV and custom vision algorithm development.
  • Embedded and edge-computing deployment.
  • Real-world application of mathematics to engineering problems

What Success Looks Like

  • Develop production-quality software used in automotive manufacturing.
  • Design, test, and deploy computer vision systems on production equipment.
  • Troubleshoot complex software, hardware, and vision-system issues.
  • Take ownership of projects from concept through deployment.
  • Collaborate effectively with engineers, technicians, and plant personnel.

MUST BE AVAILABLE FOR 8 MONTH OR 12 MONTH CO-OP.ย 

Artificial intelligence may be used during the recruitment process to screen, assess, or select applicants