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Remote Computer Vision Engineer Jobs in Toronto, ON

Morson Talent

25-183 - Kubernetes Engineer

Oshawa, ON · On-site +1

$60 - $85/hr

CHQ (Hybrid - 3 Days Remote) Job Overview Design and implement cloud-native infrastructure using ... Qualifications Bachelor's degree in computer science, Engineering, or related field. Proven ...

Okta

Solutions Engineer

Toronto, ON · Remote

Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred. #LI-remote #LI-LSS1 P20489_3423141

Levio

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

The role will be remote. Why Join Levio? * Work on complex,high impactdigital transformation ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field * 6+ ...

Agilent

Adobe Target Lead Engineer

Mississauga, ON · On-site +1

CA$116K - CA$182K/yr

This is a hybrid role: 2 days remote, 3 days in the office Key Responsibilities: * Own the design ... Bachelor's or Master's degree in Computer Science, Human Computer Interaction (HCI), or related ...

Bayview Asset Management

Software Engineer

Toronto, ON · On-site +1

CA$160K - CA$200K/yr

This role will be remote with occassional travel into Toronto office. * The compensation available ... 000 CAD, depending on experience level. * There is also a performance-based bonus structure ...

Electric Power Engineers

Principal Engineer

Toronto, ON · On-site +1

Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium ... This position will be remote US or Canada Travel : Occasional travel may be needed (10% or less ...

Banyan Software

Forward Deployed Engineer

Toronto, ON · On-site +1

Overview We are looking for an exceptional full-stack software engineer who will act as a Forward ... Job Location - Remote (USA & Canada) The expected base salary for this position is: CAD 145000/ USD ...

Electric Power Engineers

Principal Engineer

Toronto, ON · On-site +1

Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium ... This position will be remote US or Canada Travel : Occasional travel may be needed (10% or less ...

Serve Robotics

IT Project Manager

Toronto, ON · Remote

$104K - $135K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Work in concert with one or more Engineers to establish and maintain project templates and lessons ...

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All JobsComputer Vision Engineer JobsRemote Computer Vision Engineer JobsRemote Computer Vision Engineer Jobs in Toronto, ON

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:
Remote Computer Vision Engineer jobs near you
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.
Director of Product , Data Flywheel

Director of Product , Data Flywheel

Serve Robotics

Toronto, ON • Remote

$221K - $275K/yr

Full-time

Posted 5 days ago

Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

Data is an integral part of Serve’s autonomy stack. As of EOY 2025, Serve has 2000 actively deployed robots making real world deliveries across numerous US cities. ‘Autonomy Data Flywheel’ is an internal Data product initiative that leverages on this large scale of real world robots and super-charges our End-End AI model development. It covers the entire data lifecycle starting with the data offloading infrastructure on edge, depots, and meeting the engineering needs of training, testing & validation.

Responsibilities

  • Build and drive roadmap for the Autonomy Data Flywheel

  • Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.

  • Work with engineering teams to set and achieve targets for both quality and quantity KPIs

  • Define and maintain Data Diversity metrics for maximizing scenario coverage on Sidewalk ODD(Operational Design Domain)

  • Cross functional initiatives with Operations and IT teams to drive depot and cloud infrastructure work.

  • Support Data pipelines so that we are retaining the right data without impacting safety and day to day operations

Qualifications

  • Product/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industries

  • Experience building production level ML Ops pipelines

  • Fluent with training datasets and evals for AI models

  • Preferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud

  • Experience with ML Ops, targeted and active learning approaches

*Please note: The listed base salary range applies to candidates based in the San Francisco Bay Area. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely within the United States and Canada

  • USA - ALL: $200k - $245k USD

  • Canada - ALL: $175k - $215k CAD

Compensation Range: $221K - $275K