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Remote Computer Vision Engineer Jobs in Toronto, ON

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

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 ...

VP Corporate Development

Toronto, ON · On-site +1

CA$180K - CA$220K/yr

We are offering this role Remote CAD, Remote US, or Hybrid Toronto, ON (2 Days/Week at St. Clair ... Pipeline Engineering: Move beyond "networking" to "mechanics". You will break down capital ...

You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We ...

Research Engineer, Calibration

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... computer vision, machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly ...

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...

Embedded Software Test Engineer

Toronto, ON · Remote

CA$70K - CA$110K/yr

Test development for Computer Vision / Machine Learning (CVML) applications for the Edge * Work with Developers in developing unit tests and QA specific test apps * Write detailed test plans for new ...

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON ... Bachelors in Computer Science or equivalent work experience Nice to Have; (But not a must) • ...

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON ... Bachelors in Computer Science or equivalent work experience Nice to Have; (But not a must) Project ...

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at top ...

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

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Remote Computer Vision Engineer information

See Toronto, ON salary details

$27.7K

$145.4K

$200.9K

How much do remote computer vision engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote computer vision engineer in Toronto, ON is $145,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,724.00 and $177,984.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

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

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in Toronto, ON? The most popular types of Computer Vision Engineer jobs in Toronto, ON are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Toronto, ON? For Remote Computer Vision Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Computer Vision Engineer jobs in Toronto, ON are:
Infographic showing various Remote Computer Vision Engineer job openings in Toronto, ON as of May 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $145,436 per year, or $69.9 per hour.

Product Manager - Computer Vision & Data Products (Remote, Canada)

Zesty.ai

Toronto, ON • Remote

Other

Posted 23 days ago


Job description

Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

  • Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
  • Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
  • Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
  • Work closely with data scientists and software engineers as a key member of the product development team
  • Act as the model owner and subject matter expert when interfacing with Regulators and Customers
  • Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
  • Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

  • 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

  • Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
  • Outstanding communication skills, well-versed in building executive-style presentations
  • Ability to manage multiple/competing priorities and deliver on time
  • Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
  • Proficient in SQL, Excel, Python
  • Must be legally eligible to work in Canada

Nice to Have:

  • Exposure to insurance, real estate, and risk modeling
  • Experience working with computer vision models

Why ZestyAI:

  • Be a part of a well-funded growth-stage start-up
  • Work with a high-performance product team and cutting-edge development team
  • Market competitive comp and equity incentives to give you a stake in our future
  • Remote-first policy
  • Flexible Time Off
  • Comprehensive benefits package
  • Home office setup stipend
  • Annual Learning and Development allowance
  • An upbeat and collaborative work culture
  • Company-sponsored outings and offsites