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Internship Computer Vision Engineer Jobs in Ontario

Come see what all the fuss is about.✨ Brief summary of role: We're looking for an experienced Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D ...

... Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

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 ...

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 · 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 / Staff Perception Engineer

Toronto, ON · On-site

CA$158K - CA$269K/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 ...

... Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships, work ...

Hands-on experience with camera technologies, image/video processing pipelines, image sensors, and computer vision applications * Strong skills in embedded SW engineering with hands-on experience ...

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 ...

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 ...

... computer vision and Vision Language models algorithms. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring ...

... computer vision and Vision Language models algorithms. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring ...

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Internship Computer Vision Engineer information

What does an internship computer vision engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship computer vision engineer?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.
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 Internship Computer Vision Engineer jobs in Ontario? For Internship Computer Vision Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Internship Computer Vision Engineer jobs in Ontario look for? The top searched job categories for Internship Computer Vision Engineer jobs in Ontario are:
Infographic showing various Internship Computer Vision Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Sr. Computer Vision Engineer

OpenSpace

Toronto, ON

CA$168K - CA$220K/yr

Full-time

Posted 14 days ago


Job description

At OpenSpace, we're redefining how the world's most complex projects are built. Our AI-powered Visual Intelligence Platform uses computer vision and spatial AI to give construction teams a real-time view of what's happening on-site, helping them build faster, safer, and with greater confidence.

But what truly sets us apart is our people. We hire curious, driven teammates who love solving hard problems, taking ownership, and making a real-world impact. Great people build great culture—and apparently it shows. Forbes has named OpenSpace one of America's Best Startup Employers five years in a row. Come see what all the fuss is about.✨

Brief summary of role:

We're looking for an experienced Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data. This role centers on advanced computer vision but integrates modern machine learning methodologies to optimize performance on real-world construction site data. You will leverage classical CV, deep learning (transformers, multi-modal models), and probabilistic modeling to provide meaningful insights to our customers.

What you'll be doing:

  • Design and architect complex, multi-component computer vision and machine learning systems.
  • Develop and optimize image localization, SLAM, SfM, and 3D reconstruction techniques.
  • Implement deep learning models for visual perception, leveraging modern techniques (LLMs, VLLMs, transformers, and generative AI).
  • Prototype and rigorously test algorithms on real-world construction site data.
  • Collaborate with platform engineers to transition research prototypes into production-ready implementations.
  • Oversee dataset creation, curation, and annotation to ensure high-quality training and validation data.
  • Monitor system performance in production, ensuring scalability and robustness.

What we are looking for:

  • M.S./Ph.D. in related field or equivalent industry experience.
  • 5+ years of industry experience developing computer vision and machine learning models for image processing.
  • Strong expertise in camera models, calibration, and 3D pose representations/transforms.
  • Experience with SLAM, SfM, 3D reconstruction, photogrammetry, or VIO.
  • Proficiency in deep learning frameworks (e.g., PyTorch).
  • Experience working with multi-modal models combining images and language.
  • Deep understanding of fundamental CV: feature detection/matching, probabilistic modeling, computational geometry, and numerical optimization.
  • Experience with 3D visualizations and debug interfaces (OpenGL/PyQt).

Why join us:

  • Be part of a high-growth company shaping the future of ConTech
  • Work alongside a talented and collaborative team
  • Competitive compensation package, including base salary, commission, and benefits
  • Opportunities for professional development and career growth

Base Salary: $168,000 - $220,000 CAD

OpenSpace welcomes employees from varied backgrounds and walks of life, and it's reflected in our diverse community. OpenSpace is proud to be an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.