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Remote Computer Vision Engineer Jobs in Toronto, ON

Research Engineer, World Models

Toronto, ON ยท 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 ...

Video Data Reviewer - Egocentric

Toronto, ON ยท Remote

CA$20 - CA$25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

New

Software Engineer Job Type: Contract Location: Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software ...

Senior / Staff Graphics Software Engineer

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

You will... - Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and ...

Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Graduate degree in Computer Science with a strong background in machine learning required. * Strong ...

Senior Backend Engineer

Toronto, ON ยท Remote

CA$145K - CA$155K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical ...

Senior Backend Engineer

Toronto, ON ยท Remote

CA$145K - CA$155K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical ...

Senior Server Engineer

Toronto, ON ยท Remote

CA$124K - CA$186K/yr

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent ... Ability to travel occasionally, both domestically and internationally #LI-REMOTE #LI-PROMOTE This ...

Showing results 21-40

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 Aug 16, 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?

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 as a remote computer vision engineer?

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:

Infographic showing various Remote Computer Vision Engineer job openings in Toronto, ON as of August 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.

Research Engineer, World Models

Waabi

Toronto, ON โ€ข On-site, Remote

CA$155K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago


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

Waabi's autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World's ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.

You will...

- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems:

  • Video generation and prediction

  • Latent diffusion / autoregressive / flow-matching models

  • multimodal foundation models for driving scenes

  • LLM / VLM / VLA methods for scene understanding, reasoning, and control

  • Generative scenario modeling and controllable simulation

  • Model distillation

- Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.

- Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets.

- Build large scale data pipelines to build high quality datasets for training

- Ensure the quality, stability, and maintainability of the world model codebase and infrastructure.

- Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.

Qualifications:

- Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.

- Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.

- Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.

- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment.ย 

Bonus:

- Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).

- Experience with efficient model serving and deployment (e.g., ONNX, TensorRT).

- Publications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US 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 locations.ย  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
ย 

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!ย 

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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