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Computer Vision Research Assistant Jobs in Toronto, ON

Computer Vision Engineering Co-op

Toronto, ON ยท On-site

CA$24.50 - CA$28.50/hr

This role requires a basic understanding of computer vision and machine learning technologies ... to assist in the initial screening of applications submitted through our Workday system. These ...

The Rotman Research Institute at Baycrest has an exciting opportunity for a RESEARCH ASSISTANT ... computer skills and working knowledge of Microsoft Office applications โ€ข Experience using ...

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at ... We are in search of passionate Research Scientists with a specialization in Computer Vision to ...

Research Engineer

Toronto, ON ยท On-site +1

CA$122K - CA$215K/yr

... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

... computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Scientist, Learnable Planner

Toronto, ON ยท On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

... computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications. - Research and implement the ...

Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications. - Research and implement the ...

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 ...

... research insights, leveraging your expertise in deep learning, computer vision, and self-driving ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Scientist, Neural Reconstruction

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Scientist, World Models

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Computer Vision Research Assistant information

What are the key skills and qualifications needed to thrive as a Computer Vision Research Assistant, and why are they important?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What are Computer Vision Research Assistants?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What are the typical projects and daily tasks for a Computer Vision Research Assistant?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.
What are popular job titles related to Computer Vision Research Assistant jobs in Toronto, ON? For Computer Vision Research Assistant jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Computer Vision Research Assistant jobs in Toronto, ON look for? The top searched job categories for Computer Vision Research Assistant jobs in Toronto, ON are:
Infographic showing various Computer Vision Research Assistant job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Computer Vision Engineering Co-op

Computer Vision Engineering Co-op

Magna

Toronto, ON โ€ข On-site

CA$24.50 - CA$28.50/hr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

Position Overview
We are seeking a motivated Computer Vision Engineering Co Op Student to join our team. This role requires a basic understanding of computer vision and machine learning technologies, especially for industrial applications such as defect detection, 3D reconstruction, quality assurance, and process optimization. Strong Python programming skills are required. Additionally, knowledge of relevant mathematics, statistics, machine learning techniques, data pipelines, and software development workflows is essential.

Position Term


This position will commence on September 1, 2026, and conclude on August 27, 2027.


Essential Duties and Responsibilities

  • Perform and present data analysis results based on requests from supervisors.

  • Create data and machine learning pipelines on one of the leading cloud platforms.

  • Participate in the development and improvement of software solutions.

  • Test and evaluate developed solutions.


Qualifications

  • PEY/co-op student in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or an equivalent engineering, mathematics, or science discipline.

  • Strong Python programming experience is required.

  • Familiarity with deep learning frameworks (TensorFlow or PyTorch) is required.

  • Familiarity with cloud platforms is preferred.

  • Experience with software development processes is preferred.

  • Experience in computer vision tasks such as image classification, object detection, semantic segmentation, or 3D reconstruction is considered an asset.

  • Experience with ROS2 is preferred.


Education / Experience

  • Currently attending university (minimum 3rd year) and seeking a PEY/co-op term.

Compensation

  • The compensation range for this position is $24.50 to $28.50 per hour.

Special Knowledge / Skills

  • Strong technical and analytical skills.

  • Ability to work on complex engineering systems using creative approaches.

  • Proficient in Microsoft Office products (Excel, Word, and PowerPoint).

  • Strong professional communication skills, both written and verbal.


Physical Demands / Work Environment

  • Normal amounts of sitting or standing, with average mobility required to move throughout an office environment.

  • Ability to perform a normal amount of computer-based work.

  • The candidate may be exposed to an automotive manufacturing environment.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:
Fixed Term (Fixed Term)
Group:
Magna Corporate