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Remote Validation Engineer Jobs in Ontario (NOW HIRING)

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... validate research hypotheses, and drive iterative improvements Develop and advance ML models ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... validate research hypotheses, and drive iterative improvements Develop and advance ML models ...

We are looking for an experienced Quality Engineer for our client ... This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg

We are looking for an experienced Quality Engineer for our client ... This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg

We are looking for an experienced Quality Engineer for our client ... This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg

We are looking for an experienced Quality Engineer for our client ... This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg

We are looking for an experienced Quality Engineer for our client ... This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg

We are looking for an experienced Quality Engineer for our client ... This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ... Define and enforce standards for data quality, validation, reconciliation, lineage, schema ...

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Help move workloads from our legacy stack to the modern data platform, including validation ...

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... Help move workloads from our legacy stack to the modern data platform, including validation ...

Decision Engineer Remote | Cardiff | London The role We're looking for a Decision Engineer to join our decisioning team here at Capital on Tap. This is a flexible role - you can work remotely, from ...

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ... Implement data quality checks, validation rules, reconciliation processes, and monitoring to ensure ...

Mississauga, Ontario (Hybrid). 3x per week in office, 2x per week remote Function: Engineering ... Support IQ/OQ/PQ validation activities and maintain traceability between requirements and code

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Design and implement checkers for competitive programming problems with multiple valid outputs ...

Showing results 41-60

Remote Validation Engineer information

See Ontario salary details

$16

$56

$96

How much do remote validation engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote validation engineer in Ontario is $56.53, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $68.03 per hour, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of a remote validation engineer?

Remote Validation Engineers are responsible for developing and executing test plans, analyzing results, and documenting findings to ensure products meet required standards and specifications. They often collaborate virtually with design, development, and quality teams to identify issues and recommend improvements. Daily tasks may include running automated tests, preparing validation reports, participating in team meetings, and troubleshooting system behaviors. Adapting to shifting project requirements and effectively communicating in a remote setting are also integral parts of the role.

What are the key skills and qualifications needed to thrive as a remote validation engineer, and why are they important?

To thrive as a Remote Validation Engineer, you need a strong background in engineering or computer science, expertise in validation protocols, and experience with testing methodologies. Familiarity with validation tools such as simulation software, automated test platforms, and knowledge of industry compliance standards (e.g., ISO, FDA, or automotive standards) is typically required, and certifications like ISTQB can be beneficial. Excellent problem-solving skills, attention to detail, and strong written and verbal communication are important for collaborating across distributed teams. These skills ensure the effectiveness and reliability of complex products or systems while supporting seamless teamwork in a remote work environment.

What is a remote validation engineer?

A Remote Validation Engineer is responsible for testing and verifying that products, systems, or software meet required specifications and function correctly. They develop test plans, run simulations, analyze data, and document results—all while working remotely. This role is common in industries like automotive, semiconductor, and software development, ensuring quality and compliance with standards. Strong technical skills, attention to detail, and proficiency with validation tools are essential.

What are the most commonly searched types of Validation Engineer jobs in Ontario? The most popular types of Validation Engineer jobs in Ontario are:
What are popular job titles related to Remote Validation Engineer jobs in Ontario? For Remote Validation Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Validation Engineer jobs in Ontario look for? The top searched job categories for Remote Validation Engineer jobs in Ontario are:
Infographic showing various Remote Validation Engineer job openings in Ontario as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,591 per year, or $56.5 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.