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Computer Vision Jobs in Ontario (NOW HIRING)

Learning-based Computer Vision Course Code: CSI5341F Section: F Supervisor name (if known): J. Lang Date Posted (YYYY/MM/DD): 2026/07/03 Applications must be received BEFORE (YYYY/MM/DD): 2026/07/17 ...

Senior Firmware Applications Engineer

Toronto, ON · On-site

CA$110K - CA$152K/yr

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 ...

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 ...

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 ...

Research Scientist

Toronto, ON · On-site

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance ...

Apply Early

Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance ...

Apply Early

CA$121K - CA$140K/yr

GEO's products feature advanced image signal processing, unique eWARP processing technology, and state of the art neural network-based computer vision solutions. GEO ships camera video processors in ...

You will build the infrastructure that powers real-time computer vision and autonomous agentic applications, all while leveraging modern AI-augmented development tools. What FGF Offers: * FGF ...

Summary Cerebro Technologies is a fast-growing tech startup that has built a world-class computer vision AI platform to modernize manufacturing operations. Our proprietary AI software--powered ...

Research Internship/Co-op

Toronto, ON · On-site

CA$45 - CA$60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

DSP Algorithm Engineer

Ottawa, ON · Hybrid

CA$60 - CA$80/hr

Implement machine learning, computer vision, or signal processing algorithms on embedded platforms. * Perform low-level performance optimization on embedded accelerators (e.g., ARM NEON, GPUs, DSPs)

Apply Early

Director of Engineering

Waterloo, ON · On-site

CA$225K - CA$275K/yr

Background in AI, computer vision/robotics or calibration algorithms is beneficial. * Proven leadership of multi-disciplinary engineering organizations * Strong systems thinking across complex ...

CAD Tools Specialist

Ottawa, ON · On-site

CA$87K - CA$139K/yr

As a Computer-Aided Design (CAD) Engineer, you will be responsible for developing, maintaining, and ... and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee ...

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Computer Vision information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Demand for skilled professionals with expertise in deep learning, image processing, and relevant tools remains strong, making it a viable career choice.

What engineer makes $500,000 a year?

Senior computer vision engineers working in high-paying industries such as technology, autonomous vehicles, or defense can earn salaries approaching or exceeding $500,000 annually, especially with extensive experience, specialized skills in deep learning and image processing, and often including bonuses or stock options. Such compensation typically requires advanced degrees, strong technical expertise, and leadership responsibilities.

What jobs are there in computer vision?

Jobs in computer vision include roles such as computer vision engineer, research scientist, machine learning engineer, and data scientist. These positions typically require skills in programming, image processing, and deep learning frameworks like TensorFlow or PyTorch, and may involve developing algorithms for object detection, facial recognition, or autonomous systems.

What are the key skills and qualifications needed to thrive in the Computer Vision position, and why are they important?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Ontario? The most popular types of Computer Vision jobs in Ontario are:
What are popular job titles related to Computer Vision jobs in Ontario? For Computer Vision jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in Ontario look for? The top searched job categories for Computer Vision jobs in Ontario are:
What cities in Ontario are hiring for Computer Vision jobs? Cities in Ontario with the most Computer Vision job openings:
Infographic showing various Computer Vision job openings in Ontario as of June 2026, with employment types broken down into 1% As Needed, 63% Full Time, 26% Part Time, and 10% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

CUPE-Automne/Fall 2026- CORR.-CSI5341F

Uottawa

Ottawa, ON

CA$30.53 - CA$36.63/hr

Part-time

PTO

Posted 3 days ago


Job description

Posting Reason:

New Position

Location where work is to be performed:

Main Campus

Session:

2026 Fall Semester | Trimestre d'automne

Faculty:

Faculte de genie / Faculty of Engineering

Unit:

EECS_ST

Job Classification:

Corrector (CUPE)

Posting Type:

Cours precis / Specific course

Course Title:

Learning-based Computer Vision

Course Code:

CSI5341F

Section:

F

Supervisor name (if known):

J. Lang

Date Posted (YYYY/MM/DD):

2026/07/03

Applications must be received BEFORE (YYYY/MM/DD):

2026/07/17

Description of tasks (hours):

Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.

Recherche / Research:0Preparation / Preparation:0Contact avec etudiants / Contact with Students:0Correction - Notation / Grading:0Surveillance / Proctoring:0Formation / Training:0Autre / Other:0

Number of positions:

1

Expected Enrolment:

35

Work Start Date:

September 01, 2026

Work End Date:

December 31, 2026

Total Work Hours:

65

Hourly Rate:

Correcteur / Corrector : $30.53 ou/or $36.63 (2024-2025)

The academic year starts on September 1 and ends on August 31.

Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Language of Work:

Anglais | English

Requirements and Nature of Work:

Introduction to learning-based computer vision; statistical learning background; image processing and filtering primer; convolutional neural networks (CNNs), network layers, computer vision data sets and competitions; computer vision problems, in particular, image classification, detection and recognition, semantic segmentation, image generation, multi-view problems and tracking. This course is equivalent to COMP 5341 at Carleton University.

NOTE: le nombre de postes et le nombre d'heures offertes sont tous deux assujettis aux inscriptions finales dans ce cours. Please note that the number of hours offered may varie due to enrolments in that course.

Additional Information and/or Comments:

All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.

The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.