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Computer Vision Jobs in Toronto, ON (NOW HIRING)

Parsons

Intermediate Bridge CAD Designer

Markham, ON · On-site

CA$29.66 - CA$53.70/hr

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... Parsons is looking for an amazingly talented Intermediate Bridge CAD Designer to join our team! In ...

Parsons

Intermediate Bridge CAD Designer

Toronto, ON · On-site

CA$29.66 - CA$53.70/hr

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... Parsons is looking for an amazingly talented Intermediate Bridge CAD Designer to join our team! In ...

Parsons

Intermediate Bridge CAD Designer

Oakville, ON · On-site

CA$29.66 - CA$53.70/hr

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... Parsons is looking for an amazingly talented Intermediate Bridge CAD Designer to join our team! In ...

Sage Recruiting

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

Computer vision and feature detection * Machine learning or signal analysis * Predictive diagnostics * Data analysis and sensor readout interpretation We're industry-agnostic. Strong candidates from ...

Thundersoft

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 ...

Waabi

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to ...

Palona AI

AI Software Engineer, Product

Toronto, ON · On-site

Experience building with LLMs, speech models, computer vision, or agent systems beyond a toy prototype. * Product judgment: you can simplify scope, identify the highest-leverage user problem, and ...

Palona AI

AI Software Engineer, Product

Toronto, ON

Experience building with LLMs, speech models, computer vision, or agent systems beyond a toy prototype. * Product judgment: you can simplify scope, identify the highest-leverage user problem, and ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · On-site

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract 2D and 3D features from remotely sensed high-resolution imagery (i.e. satellite, aerial, drone ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract 2D and 3D features from remotely sensed high-resolution imagery (i.e. satellite, aerial, drone ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Familiarity with advanced ML and AI techniques, including LLMs, geospatial or graph ML, computer vision, and GPS data analysis. * Solid understanding of knowledge retrieval patterns including RAG ...

Charger Logistics Inc

Data Scientist

Brampton, ON

Familiarity with advanced ML and AI techniques, including LLMs, geospatial or graph ML, computer vision, and GPS data analysis. * Solid understanding of knowledge retrieval patterns including RAG ...

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Showing results 41-60

All JobsComputer Vision JobsComputer Vision Jobs in Toronto, ON

Computer Vision information

See Toronto, ON salary details

$23.9K

$118.7K

$197.1K

How much do computer vision jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer vision in Toronto, ON is $118,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,778.00 and $156,988.00 per year, depending on experience, location, and employer.

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 Toronto, ON?

The most popular types of Computer Vision jobs in Toronto, ON are:

What are popular job titles related to Computer Vision jobs in Toronto, ON?

For Computer Vision jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Computer Vision jobs in Toronto, ON look for?

The top searched job categories for Computer Vision jobs in Toronto, ON are:

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $118,703 per year, or $57.1 per hour.

Software Engineer, ML Infrastructure

Serve Robotics

Toronto, ON • Remote

$155K - $190K/yr

Full-time

Re-posted 22 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.

As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.

Responsibilities

  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.

  • Build data discovery features for the platform.

  • Create and maintain search features such as natural language querying

  • Develop and maintain our orchestration and scheduling systems.

  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management

  • Build integrations with annotation providers to efficiently review large scale data preannotations

  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications

  • BS or MS in computer science with focus in data engineering and/or machine learning

  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows

  • Experience building data mining and search capabilities

  • Experience with both Python and SQL is required

  • Solid understanding of data distributions and their impact on ML Models

  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases

  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out

  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)

  • Experience working with Multi Modal data (Lidar, Camera, etc)

  • Experience with robotics systems

  • Experience optimizing large scale vector databases

Compensation Range: $155K - $190K