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Internship Computer Vision Engineer Jobs in Ontario

Waabi

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

... learning, computer vision, and self-driving technologies. - Champion engineering excellence ... internships, work experience, research projects, and papers at top conferences. - Strong ...

fgf brands

You will build the infrastructure that powers real-time computer vision and autonomous agentic ... Bridge Engineering & Data Science: Collaborate directly with the data science team to ...

Amazon

Applied Scientist III, RBKS AI

Toronto, ON

We are working in the intersection of computer vision, generative AI (GenAI), and ambient ... Collaborate with scientists, engineers, product/program managers and other cross-functional teams

Vosyn

WordPress Developer - Internship

Etobicoke, ON · On-site +1

$32/hr

WordPress Developer - Master-Level Internship Level: Master's Level Internship Status: Full-time ... Hourly (paid in equity compensation equivalent to CAD $32-35/hour) The Vosyn internship is unique.

Spaceium

AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

As an AI Engineer, you will develop intelligent systems that enable autonomous decision-making ... Knowledge of computer vision or sensor fusion techniques * Experience with MLOps, model monitoring ...

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 ... internships, work experience, research projects, and papers at top conferences. - Strong ...

GuruLink

Head of Engineering

Toronto, ON · On-site

$120 - $180/hr

... core, computer vision-heavy automation platform for the industrial design and spatial planning ... Core Mission As the Head of Engineering, you will assume full ownership of the technology ...

NuPort Robotics Inc.

Director of Engineering

Toronto, ON · On-site

$180 - $260/hr

PhD in Computer Science, Electrical engineering, Mechanical Engineering or other technical field with 7+ years of Industry Experience in a computer vision / Sensors / Robotics / Hardware for the ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · On-site

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... engineering vertical, and this internship will support revenue growth through prospecting, calls ...

New

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... engineering vertical, and this internship will support revenue growth through prospecting, calls ...

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Showing results 21-40

All JobsComputer Vision Engineer JobsInternship Computer Vision Engineer JobsInternship Computer Vision Engineer Jobs in Ontario

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:
Internship Computer Vision Engineer jobs near you
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.

Applied Science Manager III, RBKS AI

Amazon

Toronto, ON • On-site

Full-time

Re-posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,079 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The RBKS AI team is responsible for innovating AI features for Ring and Blink cameras, with a mission to make our neighborhoods safer. We are working at the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking Applied Science Manager to lead initiatives that combine advanced computer vision and multimodal GenAI capabilities.

This role offers a unique opportunity to lead a world-class team while shaping next-generation home security technology and advancing the field of AI algorithms and systems.
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 multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience.
Key job responsibilities
- Lead and guide a team of applied scientists in designing and developing advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding
- Drive technical strategy and roadmap for privacy-preserving CV and GenAI models and systems, ensuring the team delivers efficient fine-tuning and on-device and in-cloud inference solutions
- Partner with product and engineering leadership to translate business objectives into technical roadmaps, and ensure delivery of high-quality science artifacts that ship to products
- Build and maintain strategic partnerships with science, engineering, product, and program management teams across the organization
- Recruit, mentor, and develop top-tier applied science talent; provide technical and career guidance to team members while fostering a culture of innovation and excellence
- Set technical direction and establish best practices for AI products/features across multiple projects and initiatives

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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