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Digital Image Processing Jobs in Ontario (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... 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 ...

Teledyne

Reliability Engineer

Waterloo, ON

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

Teledyne

Senior Technical Leader

Waterloo, ON

CA$114K - CA$152K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multi ...

Teledyne

Analog Mixed -Signal IC Designer

Waterloo, ON

CA$93K - CA$124K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

dbrand

dbrand Photo Editor

Mississauga, ON

Perform image processing, retouching, and asset delivery to the Creative and Marketing teams ... of digital assets. * Expertise in Illustrator, with focus on editing and manipulating vector ...

Teledyne

Technical Leader (II)

Waterloo, ON

CA$76K - CA$102K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

Teledyne

Senior Project Manager

Waterloo, ON

CA$93K - CA$124K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

Teledyne

Senior Electronics Designer

Waterloo, ON

CA$102K - CA$136K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

Teledyne

Senior Financial Analyst

Waterloo, ON

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

Teledyne

Principal Electronics Designer

Waterloo, ON

CA$124K - CA$165K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

Teledyne

Design Specialist - Test (III)

Waterloo, ON

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

Teledyne

Test Specialist (III)

Waterloo, ON

CA$46K - CA$62K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

Intercept

AI Motion Designer/ Editor

Toronto, ON · On-site +1

Intercept is an award-winning B2B marketing agency specializing in creating impactful digital ... Our team is supported by custom-built AI teammates that act as thinking partners, process ...

Teledyne

Senior Electronics Designer

Waterloo, ON

CA$93K - CA$124K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image capture, surveillance, process monitoring, manufacturing inspection, medical imaging, and multimedia.

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Showing results 21-40

All JobsDigital Image Processing JobsDigital Image Processing Jobs in Ontario

Digital Image Processing information

What is digital image processing?

A Digital Image Processing job involves utilizing algorithms and software to enhance, analyze, and manipulate images for various applications, such as medical imaging, computer vision, and remote sensing. Professionals in this field work with techniques like filtering, segmentation, object recognition, and machine learning to improve image quality and extract meaningful information. They often use programming languages like Python, MATLAB, or C++ and work in industries such as healthcare, robotics, and surveillance.

What does a digital image processing professional do?

Professionals in Digital Image Processing are often responsible for designing, testing, and implementing algorithms to enhance, analyze, or extract meaningful information from digital images. Daily tasks may include coding new solutions, pre-processing large image datasets, collaborating with cross-functional teams like data scientists or engineers, and optimizing existing pipelines for improved performance. They may also document their results, experiment with new imaging techniques, and troubleshoot technical issues as they arise. This role blends technical innovation with hands-on problem-solving, and frequently involves working in fast-paced, collaborative environments.

What are the key skills and qualifications needed for digital image processing?

To thrive in Digital Image Processing, a strong background in mathematics, computer science, and image analysis is typically required, often with a bachelor's or advanced degree in a related field. Expertise with programming languages such as Python or MATLAB, experience using image processing libraries (like OpenCV or scikit-image), and familiarity with machine learning tools are important assets. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals excel in collaborative and dynamic settings. These competencies are crucial for developing accurate, efficient solutions to real-world image-related challenges in industries like healthcare, robotics, or multimedia.

Digital Image Processing jobs near you
Infographic showing various Digital Image Processing job openings in Ontario as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 16 days ago

Key responsibilities

  • 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.

  • Collaborate with ML engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements.

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.