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Computer Vision Jobs in Ontario (NOW HIRING)

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

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/software engineering ...

Actalent

Embedded Software Engineer

Ottawa, ON · Hybrid

CA$50 - CA$68/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)

Ametek

Director of Engineering

Waterloo, ON

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 ...

Trillium Rail Partners

CAD Technician

Mississauga, ON · On-site

TRP has a current vacancy for a CAD Technician who will be responsible for developing and ... Medical, dental, and vision insurance * Employer Matching Retirement Program * Life insurance At ...

SiTime Corporation

CA$160K - CA$230K/yr

Job Summary The Principal Engineer, CAD will provide CAD Software support for Digital, Analog and ... Benefits offered : 401k plan, health and wellness that includes medical, dental, vision, life ...

indie

Embedded Systems Software Engineer

Toronto, ON · On-site

Integrate new image and video processing capabilities (e.g., warping, computer vision) from algorithm teams * Develop and maintain embedded applications on SoCs * Integrate indie's camera processor ...

Parsons

CAD Manager & CDE Admin

Markham, ON · On-site

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... The CAD manager /CDE administrator is required to possess strong computer CAD/BIM and technical ...

Parsons

CAD Manager & CDE Admin

Oakville, ON · On-site

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... The CAD manager /CDE administrator is required to possess strong computer CAD/BIM and technical ...

Parsons

CAD Manager & CDE Admin

Toronto, ON · On-site

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... The CAD manager /CDE administrator is required to possess strong computer CAD/BIM and technical ...

Parsons

CAD Manager & CDE Admin

London, ON · On-site

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... The CAD manager /CDE administrator is required to possess strong computer CAD/BIM and technical ...

BinSentry

Senior Embedded Software Developer

Kitchener, ON · On-site

CA$125K - CA$165K/yr

Computer vision experience a plus * Experience working with cellular modems a plus * Experience working with bootloaders a plus Benefits : * Company-paid group health and dental benefits plus your ...

BinSentry

Software Developer - HD

Kitchener, ON · On-site

CA$70K - CA$90K/yr

Computer vision , ML architecture & problem solving ability is a plus * 3D image capturing experience , particularly around accuracy is an asset Benefits: * Company-paid group health and dental ...

BinSentry

Software Developer - HD

Kitchener, ON

Computer vision, ML architecture & problem solving ability is a plus * 3D image capturing experience, particularly around accuracy is an asset Benefits: * Company-paid group health and dental ...

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Computer Vision information

What is a computer vision?

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 does a computer vision professional do?

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.

What are the key skills and qualifications needed to thrive in computer vision?

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.

Is computer vision a good career?

Computer vision is a growing field within artificial intelligence that involves developing algorithms to interpret visual data. It offers opportunities in industries such as healthcare, automotive, and security, often requiring skills in programming, machine learning, and image processing. Job prospects are strong, with demand for specialists who can work with tools like OpenCV and deep learning frameworks.

What are computer vision jobs?

Computer vision jobs involve developing algorithms and systems that enable computers to interpret and analyze visual data such as images and videos. Roles often require skills in machine learning, programming languages like Python or C++, and familiarity with tools like OpenCV or deep learning frameworks. These jobs are common in industries like robotics, healthcare, automotive, and security, and may require a background in computer science or engineering.

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:

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Ontario as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Research Internship/Co-op

Toronto, ON

Waabi
See more jobs at Waabiexternal

CA$45 - CA$60/hr

Full-time, Internship

Re-posted 25 days ago

Key responsibilities

  • Contribute to AI research projects related to autonomous vehicle technologies, including perception, prediction, motion planning, controls, simulation, mapping, and localization.

  • Design, implement, train, and optimize algorithms on self-driving vehicles and production systems.

  • Participate in publishing research work at top machine learning, computer vision, and robotics conferences, and share findings through company blog posts and open source projects.

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

 
You will...
  • Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
  • Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
  • Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
  • Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog, and release open source projects.
 
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/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
  • Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
  • Proficient in reading and coding in Python and/or C++..
  • Open-minded and collaborative team player with willingness to help others.
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Application Instructions:
  • To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
The US hourly range for this role is: $40- $55 USD and the Canada hourly range for this role is: $45-$60 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. 
 

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
  • Daily drinks, snacks and catered meals (when in office)
  • Regularly scheduled team building activities and social events
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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