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Computer Vision Engineer Intern Jobs in Toronto, ON

Geotab

Senior Data Scientist

Oakville, ON

What you'll bring to this role: * 5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role. * Bachelors degree in Data Science, Mathematics, Computer Science ...

Marvell

Analog Engineer Intern - PhD

Toronto, ON

Participate in lab bring-up and debugging activities under guidance from senior engineers ... Expected Base Pay Range (CAD) 36 - 48, $ per hour. Additional Compensation and Benefit Elements ...

Gerdau

ENGINEERING INTERN

Whitby, ON

Gerdau's growth is based on our values and on a vision focused on excellence. Gerdau proudly offers ... The Engineering Intern Student will provide technical coordination and support in the operating and ...

Alstom

Engineering Intern

Toronto, ON · On-site

Could you be the full-time Engineering Intern (6 months internship) in Willowbrook we're looking ... Familiarity with CAD software (AutoCAD, CATIA V5) * Strong communication and interpersonal skills

Gtsgbu

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

Intern Orientation * Online Onboarding Curriculum * Buddy Program for mentorship and guidance Hands ... Computer Science, Software Engineering, or IT program (Bachelor's or Master's) or equivalent ...

indie

Perception Software Engineer

Toronto, ON

The ideal candidate is a self-driven engineer with strong problem-solving skills, deep expertise in computer vision and embedded software development, and a passion for delivering high-quality ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON · On-site

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 ...

HeyGen

Research Engineer

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 ...

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 ...

Vosyn

IT Developer - Master-Level Internship

Etobicoke, ON · On-site +1

$32/hr

Remuneration is equivalent to $32.00 CAD per hour payable in common shares of the Corporation at ... We are looking for a skilled and driven IT Developer Intern to join our team. This role is perfect ...

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All JobsComputer Vision Engineer Intern JobsComputer Vision Engineer Intern Jobs in Toronto, ON

Computer Vision Engineer Intern information

What does a Computer Vision Engineer Intern do?

A Computer Vision Engineer Intern assists in developing and implementing algorithms that enable computers to process and interpret visual information from the world, such as images or videos. They often work on projects involving object detection, image segmentation, and other tasks related to image analysis and machine learning. Interns usually collaborate with experienced engineers, contribute to codebases, and help test and optimize models for various applications. Their work supports industries like robotics, healthcare, automotive, and more.

What types of projects and tasks can a Computer Vision Engineer Intern typically expect to work on during their internship?

As a Computer Vision Engineer Intern, you can expect to be involved in a variety of hands-on projects such as developing image recognition algorithms, annotating datasets, and testing computer vision models for accuracy and performance. Interns often collaborate closely with senior engineers and data scientists, contributing to tasks like data preprocessing, model training, and performance benchmarking. This role offers a great opportunity to gain practical experience with popular frameworks such as OpenCV and TensorFlow, and to develop skills in both research and applied development within interdisciplinary teams.

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

To thrive as a Computer Vision Engineer Intern, you need a solid background in computer science, mathematics, and image processing, typically supported by coursework or experience in machine learning and programming (Python, C++). Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, and experience using annotation tools or version control systems is highly valuable. Strong problem-solving, analytical thinking, and the ability to collaborate effectively help interns stand out. These skills and qualities are crucial for developing, testing, and optimizing computer vision models in a fast-paced, team-oriented environment.
What are the most commonly searched types of Computer Vision Engineer jobs in Toronto, ON? The most popular types of Computer Vision Engineer jobs in Toronto, ON are:
What are popular job titles related to Computer Vision Engineer Intern jobs in Toronto, ON? For Computer Vision Engineer Intern jobs in Toronto, ON, the most frequently searched job titles are:
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What cities near Toronto, ON are hiring for Computer Vision Engineer Intern jobs? Cities near Toronto, ON with the most Computer Vision Engineer Intern job openings:
Computer Vision Engineer Intern jobs near you
Infographic showing various Computer Vision Engineer Intern job openings in Toronto, ON as of May 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Temporary. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution.

Senior Data Scientist

Geotab

Oakville, ON

Other

Medical, Dental, Retirement

Posted 23 days ago

Job description

Who you are

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist who will design and build production-ready analytics systems that extract actionable insights from video, image, and sensor data. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do

As a Senior Data Scientist, your key area of responsibility will be evaluating and integrating Vision Language Models (VLMs) into scalable cloud-based processing pipelines, developing robust evaluation frameworks to measure model quality across diverse product use cases, and optimizing end-to-end inference performance for cost, latency, and accuracy. You will need to work closely with Geotab's product and platform teams to deliver computer vision features across safety, compliance, and geospatial applications.

To be successful in this role, you will be a strong team-player with an adaptive mindset to stay current with the rapidly evolving multi-modal AI landscape and the ability to engage effectively at all organizational levels. In addition, the successful candidate will have strong project management and analytical skills, with the ability to identify needs, develop effective solutions, and manage projects from research through production deployment.

How you'll make an impact:
  • Lead the research, evaluation, and integration of Vision Language Models (VLMs) and foundation models to extract actionable insights from video, image, and telematics data.
  • Design experimentation frameworks to systematically benchmark model performance across accuracy, precision, recall, and domain-specific quality metrics.
  • Develop prompt engineering and fine-tuning strategies for multi-modal reasoning tasks, optimizing for visual understanding in real-world operational environments. Build scalable evaluation methodologies that replace manual labeling with automated, data-driven assessment approaches.
  • Combine video, image, and telematics data to develop contextual models that enrich visual insights with sensor telemetry, vehicle dynamics, and geospatial signals.
  • Collaborate with cross-functional product teams to translate business problems into well-scoped data science solutions, from hypothesis through production deployment.
  • Partner with engineering teams to ensure models are production-ready, balancing inference cost, latency, and accuracy at scale.
  • Stay current with advances in vision-language model research and drive adoption of emerging techniques into the product portfolio.
  • Mentor team members on best practices for vision model evaluation, prompt engineering, and pipeline development. Maintain comprehensive documentation of pipeline architectures, evaluation methodologies, and experimental results.
What you'll bring to this role:
  • 5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role.
  • Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset).
  • Proven experience building and deploying computer vision or video analytics pipelines in production environments using Python.
  • Hands-on experience with Vision Language Models (VLMs), large multi-modal models, and cloud-based inference infrastructure (e.g., Ray, Vertex AI, or Azure). Proficiency in writing SQL queries and working with large-scale data (BigQuery, Spark).
  • Experience with evaluation framework design, including ensemble voting approaches and ground truth management.
  • Excellent communication skills for effective collaboration across product, platform, and data science teams
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
This posting is for an existing vacancy.
 
Why job seekers choose Geotab:

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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