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Virtual Remote Digital Pathology Jobs in Toronto, ON

Dutch

Virtual Care Veterinarian (Remote)

Toronto, ON · Remote

... remote opportunity ideal for veterinarians looking to pick up additional work, explore virtual care ... Review medical history, symptoms, and treatment concerns shared through Dutch's digital platform

Inizio Engage

Virtual Engagement Associate

Ajax, ON · Remote

Business Manager, Commercial Services Location: 100% remote Contract length: 4-months Key ... Excellent customer service and patient centric focused. * Tech and digital savvy, proficient in ...

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Virtual Remote Digital Pathology information

What is the difference between Virtual Remote Digital Pathology vs Digital Pathologist?

AspectVirtual Remote Digital PathologyDigital Pathologist
CredentialsMedical degree, pathology certification, training in digital imagingMedical degree, pathology certification, specialized training in digital pathology
Work EnvironmentRemote, digital platforms, home or telepathology labsRemote or hospital-based, analyzing digital slides
Industry UsageHealthcare, telemedicine, pathology labsHealthcare, pathology departments, research

Virtual Remote Digital Pathology involves using digital imaging technology to analyze pathology slides remotely, often through telepathology platforms. Digital Pathologists are trained medical professionals who interpret these digital slides, making the roles closely related but with the Digital Pathologist being the certified expert. Both roles require similar credentials and work environments, but the term 'Digital Pathologist' emphasizes the professional qualification and diagnostic expertise.

What are popular job titles related to Virtual Remote Digital Pathology jobs in Toronto, ON?

For Virtual Remote Digital Pathology jobs in Toronto, ON, the most frequently searched job titles are:

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Virtual Remote Digital Pathology jobs near you
Infographic showing various Virtual Remote Digital Pathology job openings in Toronto, ON as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Machine Learning Engineer

Toronto, ON • Remote

Career Renew
See more jobs at Career Renewexternal

Full-time

Re-posted 8 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.