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Computer Vision Jobs in Ontario (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance ...

Waabi

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Spaceium

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

Develop perception pipelines (computer vision, sensor fusion) for pose estimation, object/target detection, and scene understanding * Build reinforcement learning, planning, and decision-making ...

NTT Ltd.

Senior AI Solution Architect

Toronto, ON

Computer Vision * Multimodal AI * Liquid Foundation Models (LFMs) * Sensor Intelligence * Robotic Perception Apply advanced expertise in: * Transformer architectures * Self-attention and cross ...

fgf brands

You will build the infrastructure that powers real-time computer vision and autonomous agentic applications, all while leveraging modern AI-augmented development tools. What FGF Offers: * FGF ...

GuruLink

Head of Engineering

Toronto, ON · On-site

$120 - $180/hr

Company Profile We are a pioneering, venture-backed, early-stage technology company developing a core, computer vision-heavy automation platform for the industrial design and spatial planning sectors.

NuPort Robotics Inc.

Director of Engineering

Toronto, ON · On-site

$180 - $260/hr

PhD in Computer Science, Electrical engineering, Mechanical Engineering or other technical field with 7+ years of Industry Experience in a computer vision / Sensors / Robotics / Hardware for the ...

Nttlimited

Senior AI Solution Architect

Toronto, ON · On-site

Computer Vision * Multimodal AI * Liquid Foundation Models (LFMs) * Sensor Intelligence * Robotic Perception Apply advanced expertise in: * Transformer architectures * Self-attention and cross ...

Mercor

Video Data Reviewer - Egocentric

Toronto, ON · Remote

CA$20 - CA$25/hr

Experience with video annotation, data labeling, computer vision datasets, or egocentric video. Start Date * Monday morning 17th August (PST) Application Process (Takes 20-30 mins to complete)

New

Waabi

Research Internship/Co-op

Toronto, ON

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 ...

Johnson & Johnson

Lead Data Scientist

Toronto, ON · On-site

As a Lead Data Scientist with a strong foundation in data science and expertise in Agentic AI, classical machine learning, and computer vision, you will collaborate across teams to shape a cohesive ...

Jj

Lead Data Scientist

Toronto, ON · On-site

As a Lead Data Scientist with a strong foundation in data science and expertise in Agentic AI, classical machine learning, and computer vision, you will collaborate across teams to shape a cohesive ...

Ametek

Director of Engineering

Waterloo, ON

CA$225K - CA$275K/yr

Background in AI, computer vision/robotics or calibration algorithms is beneficial. * Proven leadership of multi-disciplinary engineering organizations * Strong systems thinking across complex ...

Trillium Rail Partners

CAD Technician

Mississauga, ON · On-site

TRP has a current vacancy for a CAD Technician who will be responsible for developing and ... Medical, dental, and vision insurance * Employer Matching Retirement Program * Life insurance At ...

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Showing results 21-40

All JobsComputer Vision JobsComputer Vision Jobs in Ontario

Computer Vision information

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 Ontario?

The most popular types of Computer Vision jobs in Ontario are:

What are popular job titles related to Computer Vision jobs in Ontario?

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

What job categories do people searching Computer Vision jobs in Ontario look for?

The top searched job categories for Computer Vision jobs in Ontario are:

What cities in Ontario are hiring for Computer Vision jobs?

Cities in Ontario with the most Computer Vision job openings:

Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 26 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.