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Remote Biomedical Engineering Jobs in Toronto, ON

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

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 ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

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 ...

Derivative Path

Senior .NET Engineer

Toronto, ON · Remote

CA$110K - CA$150K/yr

The Opportunity Interested in being a part of a remote first team disrupting the financial world ... What You Will Do We are seeking an Full Stack Engineer to work along side our stream aligned teams.

Uptalent.io

O-Calc or SPIDACalc Engineer

Toronto, ON · On-site +1

This is a great opportunity for a motivated individual looking to make a difference in the civil engineering industry. As an O-Calc or SPIDACalc Engineer, you will be responsible for providing ...

Uptalent.io

O-Calc or SPIDACalc Engineer

Toronto, ON · Remote

This is a great opportunity for a motivated individual looking to make a difference in the civil engineering industry. As an O-Calc or SPIDACalc Engineer, you will be responsible for providing ...

Tetra Tech

Senior P&C Engineer

Mississauga, ON · On-site +1

Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world. For over 50 years, we have been at the forefront of innovation and ...

EvenUp

Senior Machine Learning Engineer

Toronto, ON · Remote

$196K - $265K/yr

Strong software engineering fundamentals - Python, distributed systems, API design. * Experience owning the full ML lifecycle, not just model training in isolation. * A track record of turning ...

Td

Quality Engineer III

Toronto, ON · Remote

CA$96K - CA$136K/yr

The QA III would be a senior role responsible for leading end-to-end quality engineering strategy and execution across the platform. The role requires developing and leading test governance ...

Td

Quality Engineer II

Toronto, ON · Remote

CA$81K - CA$115K/yr

Adhere to enterprise frameworks or methodologies that relate to quality engineering activities * Ensure respective programs/ policies/practices are well managed, meets business needs, complies with ...

YuJa

AI Engineer

Toronto, ON · On-site +1

CA$90K - CA$100K/yr

Collaborate with product, design, and engineering to integrate AI models into customer-facing applications * Conduct experiments, analyze data, and iterate models for performance improvement

Equinix

Machine Learning Engineer

Toronto, ON · Remote

Responsibilities Engineering Expectations (Core Capabilities) * Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data * Translate business requirements into ...

Equinix

Senior Staff API Engineer

Toronto, ON · Remote

You'll lead technically across teams, improve developer experience, and raise reliability through automation (including AI‑assisted checks) Qualifications * Strong coding skills in Go or Python or ...

Stripe

Machine Learning Engineer

Toronto, ON · Remote

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to ...

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All JobsBiomedical Engineering JobsRemote Biomedical Engineering JobsRemote Biomedical Engineering Jobs in Toronto, ON

Remote Biomedical Engineering information

See Toronto, ON salary details

$12

$36

$73

How much do remote biomedical engineering jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote biomedical engineering in Toronto, ON is $36.56, according to ZipRecruiter salary data. Most workers in this role earn between $22.94 and $45.88 per hour, depending on experience, location, and employer.

What is the difference between Remote Biomedical Engineering vs Remote Clinical Engineering?

AspectRemote Biomedical EngineeringRemote Clinical Engineering
CredentialsBiomedical Engineering degree, certifications like CBETBiomedical Engineering or Clinical Engineering degree, certifications like CBET
Work EnvironmentDesign, research, and development remotely; some on-site for testingEquipment maintenance, troubleshooting, often remote support with some on-site visits
Employer & IndustryMedical device companies, research institutionsHospitals, healthcare facilities, medical equipment vendors
Search & Comparison IntentUnderstanding roles in medical device design and R&DSupporting and maintaining medical equipment remotely

Remote Biomedical Engineering focuses on designing and developing medical devices, often working remotely in research or development roles. In contrast, Remote Clinical Engineering involves supporting, maintaining, and troubleshooting medical equipment, typically with some on-site presence. Both roles require biomedical engineering credentials but differ in daily tasks and work environments.

What is remote biomedical engineering?

Remote biomedical engineering refers to the practice of designing, developing, and maintaining medical devices, software, and technologies from a location outside of a traditional healthcare or research facility. Professionals in this role often collaborate virtually with teams, use digital tools for diagnostics and analysis, and may provide remote support for medical equipment. This setup allows for greater flexibility and access to a wider range of expertise while still ensuring patient safety and device effectiveness.

Is there a high demand for remote biomedical engineers?

Remote biomedical engineering is experiencing increasing demand due to advancements in telehealth, medical device development, and digital health technologies. Employers seek professionals with skills in software, electronics, and regulatory compliance, making remote work opportunities more available in this field.

What are some unique challenges of working as a remote biomedical engineer, and how can they be managed?

Remote biomedical engineers often face challenges such as limited hands-on access to medical devices and equipment, which can make troubleshooting and testing more complex. To manage these challenges, many professionals rely on virtual collaboration tools, remote monitoring software, and detailed documentation to communicate with on-site teams. Regular video conferences and clear communication protocols help ensure that remote engineers remain aligned with project goals and timelines. Building strong relationships with local staff and staying proactive in seeking updates can also help overcome the distance barrier.

What are the key skills and qualifications needed to thrive as a remote biomedical engineer?

To thrive as a Remote Biomedical Engineer, a solid background in biomedical engineering principles, mathematics, and physiology, often supported by a relevant degree, is essential. Familiarity with technical tools such as CAD software, medical device regulations, telecommunication platforms, and possibly certifications like CBET are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating virtually and managing projects independently. These abilities ensure the successful design, implementation, and support of medical devices and solutions while maintaining regulatory compliance and effective teamwork in a remote setting.

Can you work remotely as a biomedical engineer?

Remote biomedical engineering jobs are available, especially in roles involving software development, data analysis, or remote diagnostics. However, many positions require on-site work for equipment installation, maintenance, or clinical collaboration. The availability of remote work depends on the specific employer and job responsibilities.
What are the most commonly searched types of Biomedical Engineering jobs in Toronto, ON? The most popular types of Biomedical Engineering jobs in Toronto, ON are:
What are popular job titles related to Remote Biomedical Engineering jobs in Toronto, ON? For Remote Biomedical Engineering jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Engineering jobs in Toronto, ON look for? The top searched job categories for Remote Biomedical Engineering jobs in Toronto, ON are:
Remote Biomedical Engineering jobs near you
Infographic showing various Remote Biomedical Engineering job openings in Toronto, ON as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,035 per year, or $36.6 per hour.

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 17 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.