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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 ...

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 ...

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 ...

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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 Jul 27, 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $145,436 per year, or $69.9 per hour.
Senior Data Scientist - Computer Vision

Senior Data Scientist - Computer Vision

Zesty.ai

Toronto, ON • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Senior Data Scientist - Computer Vision

Remote, Canada

Events in recent years have made us all too familiar with the havoc natural disasters can wreak and the increasing frequency and intensity with which they occur. Despite record losses, conventional risk modeling methods continue to paint, at best, an incomplete picture of these threats.

ZestyAI uses novel data-gathering and data science methods to produce higher-quality information about the risks to property from catastrophes such as storms and wildfires. While AI alone may not be able to thwart these disasters, it can help us become better prepared for them, and ultimately lead to better outcomes.

As a Senior Data Scientist specializing in deep learning for computer vision, you will play a pivotal role in our Data Science and Machine Learning team. You will be responsible for training, deploying, and optimizing state-of-the-art deep learning models to tackle challenging computer vision problems. You will scale the development of top-tier models by leveraging diverse data sources, generating valuable insights, and maximizing the impact of our products. You thrive in a collaborative, innovative environment that moves fast and are comfortable establishing structures and processes that drive the company's success.

The Opportunity:

  • Explore data sources and develop new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
  • Research, design, and implement deep learning algorithms and architectures that extract insights from imagery sources such as aerial imagery and geospatial data.
  • Lead the development of high-quality datasets for robust model training and evaluation.
  • Collaborate closely with cross-functional teams to understand requirements and translate product, engineering, and business constraints and questions into actionable data science problems.
  • Coach and provide feedback to members of the Data Science and Machine Learning team, fostering skill development and knowledge sharing.

What You Bring to the ZestyAI Team:

  • At least 5 years of experience applying machine learning techniques to computer vision applications.
  • BA/BS/BEng degree in Math, Physics, Computer Science, Engineering, Economics, or other related fields. MS or PhD is a plus.
  • Strong understanding of image processing, machine learning, deep learning, and AI principles.
  • Extensive hands-on experience designing and implementing deep learning models.
  • Experience deploying deep learning models in production environments.
  • Proficiency in Python, with experience using deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., OpenCV, Pillow, Matplotlib, Plotly).
  • Understanding of data preprocessing and augmentation techniques for large-scale image datasets (bonus if experienced with aerial or satellite imagery).
  • Experience working with cloud computing platforms (e.g., Google Cloud Platform, AWS) and containerization/orchestration tools (e.g., Kubernetes, Docker).
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows.
  • Experience working with BigQuery and SQL.
  • Experience using generative AI coding tools such as Claude Code and Cursor.
  • Excellent problem-solving skills and ability to work independently or as part of a team in a dynamic environment.
  • Strong organizational and management skills, with experience implementing best practices and processes.
  • Proven ability to mentor and guide junior team members, fostering a collaborative and supportive environment.
  • Strong communication skills.
  • Must be legally eligible to work in Canada. 

Why ZestyAI:

  • Be part of a well-funded, growth-stage start-up.
  • Market-competitive compensation and equity incentives, giving you a stake in our future.
  • Comprehensive healthcare plan.
  • Flexible time off and fully remote work.
  • An upbeat and collaborative work culture.
  • Professional development opportunities and support for continued learning and growth.
  • Company-sponsored outings and offsites.

All of your personal information will be kept confidential according to EEO guidelines.