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Computer Vision Research Intern Jobs in Waterloo, ON

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Computer Vision Research Intern information

What does a computer vision research intern do?

A Computer Vision Research Intern assists in developing and testing algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition, supporting senior researchers in implementing and optimizing machine learning models. Interns may also be involved in collecting datasets, analyzing experiment results, and preparing research documentation. This role is ideal for students or recent graduates with a strong interest in artificial intelligence, programming, and visual data analysis.

What skills and qualifications are needed to thrive as a computer vision research intern?

To thrive as a Computer Vision Research Intern, you need a solid background in computer science, mathematics, and machine learning fundamentals, often demonstrated by relevant coursework or a degree in a related field. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and proficiency in using computer vision libraries like OpenCV are typically required. Strong analytical thinking, creativity, and effective communication skills help you solve complex problems and present research findings clearly. These skills and qualities are essential for developing innovative solutions and contributing meaningfully to research projects in a fast-evolving field.

What types of projects and collaborations can a computer vision research intern expect during their internship?

As a Computer Vision Research Intern, you will typically work on projects involving image recognition, object detection, or video analysis, often using deep learning frameworks like TensorFlow or PyTorch. Interns usually collaborate closely with senior researchers and software engineers, contributing to model development, data annotation, and experimental analysis. You may participate in regular team meetings, present your findings, and integrate your work into larger research initiatives. This environment provides exposure to cutting-edge technologies and valuable mentorship, laying a strong foundation for future advancement in AI research.

What cities near Waterloo, ON are hiring for Computer Vision Research Intern jobs?

Cities near Waterloo, ON with the most Computer Vision Research Intern job openings:

Infographic showing various Computer Vision Research Intern job openings in Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Unreal Engine C++ XR Developer II

Mawari Technologies

Waterloo, ON • On-site

CA$100K - CA$150K/yr

Full-time

Medical, Dental, PTO

Re-posted 8 days ago


Job description

About The Mawari Network
Vision

At Mawari we believe the next iteration of the internet will be delivered to XR devices. It represents a fundamental and pivotal change on how we work, socialize and learn today. To power the next generation of the internet and drive mainstream adoption, we need to meet or surpass the scale and quality of service we have in today's internet. In order to achieve this, a new infrastructure and technology stack needs to be built and integrated. To make this a reality we are building The Mawari Network. We also believe this new infrastructure should be a public good.

What we are building

The Mawari Network is a decentralized 3D & XR content delivery platform that breaks the bottlenecks of infrastructure supply for real-time rendering, and the lack of local compute power on XR Devices. We do this by orchestrating a decentralized network of GPU-powered nodes that run the Mawari Engine, a proprietary technology stack that allows to render interactive 3D content and stream it efficiently in real-time to mobile XR devices at scale. We believe Web3 principles in conjunction with our core technology will accelerate the scalability of the Mawari Network.

Why work with us

Mawari is a pioneer in Cloud Rendering and Streaming technologies. Our core technology has been validated in the market through repeated success in the XR industry with over 40+ deployments to date worldwide. We have strong world-class partnerships with the most influential companies in the XR/Metaverse industry. Mawari's founding team is visionary, seasoned, and balanced. We have kept the company self-funded and post-revenue since 2017. Mawari has recently completed a successful funding round from world-class investors for the expansion of its core technology team. Come join us to make a difference by building a public good and defining the future of the internet.

About The Role

Mawari is seeking a C++ / Unreal Engine developer to help in building custom Unreal Engine based applications that can stream interactive experiences via peer to peer networks.

In this role you will work hand to hand with our Lead engineer in defining and creating components for delivering content to the end user devices.

Key Responsibilities:
  • Develop and support robust server and p2p Unreal Engine streaming app
  • UE4/5 plugin development and maintenance of SDK features
  • Integrate and support 3rd party SDK to the streaming app
Key skills:
  • Strong, proven skills with Unreal Engine and C++
  • Knowledge of how peer to peer network connections work
  • Experience with WebRTC or similar technologies
  • Understanding how Unreal Engine is rendering the scene
  • Familiar with rendering engine development, plug-in design
  • Understanding and ability to write a good quality code
  • Ability to balance pragmatic and ideal engineering practices
  • Experience with git or similar version control systems
Good to have skills:
  • Knowledge of how leading video codecs work
  • Implemented projects using Unreal Engine Pixel Streaming or similar technologies
  • Experience with client-server architectures
  • Experience with building AR/VR applications
  • Experience with NVIDIA CloudXR
Education and Experience

We are most interested in what you have accomplished and your demonstrated ability to succeed in this role. You may have some or all of the following:

  • A degree in engineering or computer science
  • 3 or more years of experience in a similar position
  • Experience working with local and remote teams, including experience working internationally
Compensation and Benefits

We offer a competitive salary, stock option plan, extended health benefits (Medical, dental, prescription and more).


Perks and Work-Life Balance

We're establishing our office at the Waterloo Accelerator Centre - a modern and vibrant facility adjacent to the University of Waterloo campus. It's conveniently located on the Ion electric light rail system running North-South here in Waterloo Region. The Waterloo Accelerator is a modern work environment with plenty of natural light, open space and flexible meeting areas as well as free coffee/tea/beverages. We offer Flex-time work schedules, and vacation time.

Other
  • We will consider a fully remote position in some instances.
  • Contract or full-time employment may also be considered.
  • This is an opportunity to work in a dynamic team of successful serial entrepreneurs, software developers, researchers, and graphics engineers, and an extraordinary opportunity to build technologies that will enable the next iteration of the internet for billions of people.
Hiring Policy

Mawari Technologies Inc. is an equal opportunity employer. We are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. We are building a team with a variety of backgrounds, perspectives, and skills. We believe that this benefits our employees, our customers, our products, and our community.

In accordance with the Accessibility for Ontarians with Disabilities Act, accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require special accommodation to complete any portion of the application or interview process, please contact us.