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Computer Vision Jobs in Toronto, ON (NOW HIRING)

Research Internship/Co-op

Toronto, ON ยท On-site

CA$45 - CA$60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision. * Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud.

Integrate new image and video processing capabilities (e.g., warping, computer vision) from algorithm teams * Develop and maintain embedded applications on SoCs * Integrate indie's camera processor ...

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... The CAD manager /CDE administrator is required to possess strong computer CAD/BIM and technical ...

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... The CAD manager /CDE administrator is required to possess strong computer CAD/BIM and technical ...

Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we ... The CAD manager /CDE administrator is required to possess strong computer CAD/BIM and technical ...

Embedded Engineer

Toronto, ON ยท 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 ...

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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 Jul 6, 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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What is a Computer Vision job?

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 are some typical projects or tasks a Computer Vision professional might work on?

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.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Demand for skilled professionals with expertise in deep learning, image processing, and relevant tools remains strong, making it a viable career choice.

What engineer makes $500,000 a year?

Senior computer vision engineers working in high-paying industries such as technology, autonomous vehicles, or defense can earn salaries approaching or exceeding $500,000 annually, especially with extensive experience, specialized skills in deep learning and image processing, and often including bonuses or stock options. Such compensation typically requires advanced degrees, strong technical expertise, and leadership responsibilities.

What jobs are there in computer vision?

Jobs in computer vision include roles such as computer vision engineer, research scientist, machine learning engineer, and data scientist. These positions typically require skills in programming, image processing, and deep learning frameworks like TensorFlow or PyTorch, and may involve developing algorithms for object detection, facial recognition, or autonomous systems.

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

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.

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:
Infographic showing various Computer Vision job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 59% Full Time, 31% Part Time, and 9% 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.

Product Director - Major Accounts Product Operations & Capture Technology

PAVE by Discovery Loft Inc.

Toronto, ON โ€ข On-site

Full-time

Posted 12 days ago


Job description

Salary: $150k-$175k

PAVE is on a mission to use AI to revolutionize digital vehicle inspections. We leverage stateoftheart computer vision to power thousands of inspections daily, helping businesses complete faster, more accurate, and more sustainable assessments. Our globally distributed team (Canada, Vietnam, USA, and UK) includes AI researchers, ML engineers, product specialists, and software engineers building the next generation of capture and automation tools. We partner with some of the largest enterprise clients in logistics, fleet management, and automotive marketplacesand were just getting started.


Were looking for a Product Director to lead Enterprise Product Operations while owning the evolution of our photo capture technologythe foundation of our platform.


This role sits at the intersection of:

  • Enterprise client delivery
  • Product strategy
  • Mobile capture technology
  • Operational excellence


You will ensure our largest clients are successful at scale while driving innovation in how vehicle data is captured, validated, and processed.


Responsibilities

Major Account Product Operations:

  • Own product outcomes for key enterprise accounts (fleet, auction, marketplace clients)
  • Partner closely with Sales, Customer Success, and Engineering to deliver high-impact solutions
  • Translate client needs into scalable product capabilities (not one-offs)
  • Establish structured intake, prioritization, and delivery processes for enterprise requests
  • Monitor and improve operational KPIs (adoption, throughput, data quality, SLA performance)
  • Lead cross-functional execution from discovery delivery post-launch optimization


Photo Capture Technology Ownership:

  • Define and execute the roadmap for Native and web-based photo capture systems
  • Improve capture quality, speed, and consistency across diverse environments
  • Drive innovation in:
    • Image validation (angle, clarity, lighting)
    • Guided capture workflows
    • Real-time feedback and automation
  • Partner with AI/ML teams to improve downstream inspection accuracy
  • Optimize performance across devices (iOS, Android, rugged hardware)


Product Strategy & Execution:

  • Balance client-driven needs with long-term platform scalability
  • Identify opportunities to standardize and productize workflows across accounts
  • Collaborate with engineering on system architecture and deployment considerations
  • Define success metrics (precision, recall, capture time, completion rates)
  • Communicate roadmap and progress to internal and external stakeholders


What You Bring

Experience:

  • 710+ years in Product Management, including leadership roles
  • Experience in B2B SaaS, ideally with API-driven platforms
  • Proven success working with enterprise clients and complex deployments
  • Experience with mobile applications, camera workflows, or computer vision is a strong plus

Skills:

  • Strong product judgmentability to separate signal from noise in client requests
  • Deep empathy for users in operational environments (field workers, inspectors, drivers)
  • Experience building scalable systems, not custom solutions
  • Comfortable working across technical and non-technical teams
  • Data-driven mindset with strong analytical capabilities

Skills:

  • Experience with image capture systems, computer vision, or inspection workflows
  • Familiarity with cloud platforms, data pipelines, or analytics tools
  • Background in automotive, fleet, or logistics industries


Why join us?

  • Build category-defining technology in a rapidly evolving space
  • Work with high-scale enterprise clients solving real-world problems
  • Own a critical part of the product that directly impacts data quality and AI performance
  • Join a high-impact, fast-moving team with strong growth trajectory


This posting is for an existing vacancy. We are committed to building a diverse work environment and are proud to be an equal opportunity employer and as such do not discriminate on the basis of a persons race, colour, religion, age, place of origin, ethnic origin, gender, gender identity, gender expression, sexual orientation, marital status, family status, disability, or any other characteristic protected by applicable laws, whether actual or perceived. All qualified applicants will receive consideration for employment. If you require accommodation during the interview process, please let us know when contacted for an interview. Please note that PAVE does not use AI at any point of the hiring process.


We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.