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Virtual Math Jobs in Toronto, ON (NOW HIRING)

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

We are the leading virtual staining company revolutionizing digital pathology adoption worldwide ... mathematical foundation in linear algebra, probability, and optimization Experience with large ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

We are the leading virtual staining company revolutionizing digital pathology adoption worldwide ... mathematical foundation in linear algebra, probability, and optimization Experience with large ...

ABL Employment

Industrial Cutter

Markham, ON

CA$19/hr

Requirements: -Proficiency in reading and writing in English. -Strong basic math skills, including ... After submitting your resume, you will receive a reach out from our virtual recruiter. This reach ...

hireVouch

Senior Network Engineer

Toronto, ON

Provides technical support for hardware (virtual and physical), software, operating systems and ... A university degree in mathematics or computer science or other related discipline. * 8+ years of ...

Sysco

General Labour - Summer Student

Toronto, ON · On-site

CA$20.76/hr

Basic Math skills * Good communication skills, both oral and written * Ability to do heavy lifting ... Virtual Care Unlimited on-line learning Sysco product discounts Preferred vendor discounts ...

Sysco

General Labour

Toronto, ON

CA$20.76/hr

Basic Math skills * Good communication skills, both oral and written * Ability to do heavy lifting ... Virtual Care Unlimited on-line learning Sysco product discounts Preferred vendor discounts ...

Crawford and Company

Litigation Adjuster

Toronto, ON · On-site

CA$50K - CA$70K/yr

... virtual or in person) and correspondence. Settling losses within delegated authority or reporting ... Strong analytical and mathematical ability * Able to manage multiple priorities * Strong PC skills ...

ASSA ABLOY

Service Technician

Mississauga, ON

Basic math skills. Working Conditions: * Must be able to work in any weather conditions (indoors ... Our innovations make all sorts of spaces - physical and virtual - safer, more secure, and easier to ...

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All JobsMath JobsVirtual Math JobsVirtual Math Jobs in Toronto, ON

Virtual Math information

See Toronto, ON salary details

$9

$21

$41

How much do virtual math jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for virtual math in Toronto, ON is $21.85, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $23.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Virtual Math Teacher, and why are they important?

To thrive as a Virtual Math Teacher, you need a solid understanding of math concepts, teaching credentials (such as state certification), and experience in curriculum development. Familiarity with online learning platforms, virtual whiteboards, and educational software like Zoom or Google Classroom is typically required. Strong communication, patience, and the ability to engage students remotely are standout soft skills in this role. These skills are crucial for effectively delivering math instruction, maintaining student engagement, and supporting diverse learners in a virtual environment.

What is the difference between Virtual Math vs Virtual Math Tutor?

AspectVirtual Math
CredentialsTypically requires a degree in mathematics, education, or related field
Work EnvironmentRemote, online platform, often flexible hours
Industry UsageUsed by educational institutions, tutoring companies, and online learning platforms
Job FocusDeveloping math content, curriculum, or providing online math instruction

Virtual Math generally refers to roles involving online math content creation, curriculum development, or instructional design. Virtual Math Tutor specifically focuses on providing one-on-one or group online tutoring sessions to students. While both roles require math expertise and often similar credentials, Virtual Math tutors are more directly involved in personalized student instruction, whereas Virtual Math roles may include broader content development and educational support.

What is a Virtual Math Teacher?

A Virtual Math Teacher is an educator who teaches math courses online rather than in a traditional classroom setting. They use various digital platforms to deliver lessons, assign homework, and communicate with students. Virtual Math Teachers may work for online schools, tutoring services, or as independent contractors, and often use video calls, interactive whiteboards, and educational software to support learning. The role requires strong math knowledge, excellent communication skills, and proficiency with technology.

What are some common challenges faced by Virtual Math Teachers and how can they be overcome?

Virtual Math Teachers often encounter challenges such as maintaining student engagement, managing diverse learning paces, and ensuring clear communication in an online environment. To address these, teachers can use interactive tools, varied instructional methods, and frequent check-ins to keep students involved. Additionally, leveraging online resources and regular feedback helps tailor instruction to individual needs, while collaborating with colleagues and parents supports student success. Staying flexible and proactive with technology also plays a key role in overcoming these challenges.
What are the most commonly searched types of Math jobs in Toronto, ON? The most popular types of Math jobs in Toronto, ON are:
What are popular job titles related to Virtual Math jobs in Toronto, ON? For Virtual Math jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Virtual Math jobs in Toronto, ON look for? The top searched job categories for Virtual Math jobs in Toronto, ON are:
Virtual Math jobs near you

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 24 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.