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Remote Amazon Electrical Engineering Jobs in Ontario

Senior Machine Learning Engineer

Toronto, ON ยท Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Electrical Engineering, or a related field Deep expertise in computer vision and deep learning ...

Senior Machine Learning Engineer

Toronto, ON ยท Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Electrical Engineering, or a related field Deep expertise in computer vision and deep learning ...

Degree or diploma in Electrical Engineering, Quantity Surveying, Construction Management, or a ... and remote work for focused tasks. Inclusivity & Accessibility Altus Group is committed to ...

Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby ... a world-class remote engineering team spread across 20+ countries. * 5+ years of backend ...

Traction Power Engineer, Rail and Transit

Thornhill, ON ยท On-site +1

CA$98K - CA$130K/yr

Bachelor's degree in Electrical Engineering or related discipline; master's an asset. * Licensed P ... such as remote or isolated areas, working alone, and in inclement weather (within safe and ...

Traction Power Engineer, Rail and Transit

Thornhill, ON ยท On-site +1

CA$98K - CA$130K/yr

Bachelor's degree in Electrical Engineering or related discipline; master's an asset. * Licensed P ... such as remote or isolated areas, working alone, and in inclement weather (within safe and ...

Vancouver, BC preferred, considering the rest of Canada (Remote-friendly) Industry: Web3 ... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ...

Vancouver, BC preferred, considering the rest of Canada (Remote-friendly) Industry: Web3 ... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ...

Vancouver, BC preferred, considering the rest of Canada (Remote-friendly) Industry: Web3 ... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ...

Vancouver, BC preferred, considering the rest of Canada (Remote-friendly) Industry: Web3 ... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ...

Vancouver, BC preferred, considering the rest of Canada (Remote-friendly) Industry: Web3 ... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ...

Vancouver, BC preferred, considering the rest of Canada (Remote-friendly) Industry: Web3 ... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ...

Vancouver, BC preferred, considering the rest of Canada (Remote-friendly) Industry: Web3 ... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ...

Vancouver, BC preferred, considering the rest of Canada (Remote-friendly) Industry: Web3 ... and Amazon. Using account abstraction and AI-powered financial copilots, the platform makes ...

Showing results 41-60

Remote Amazon Electrical Engineering information

What is the difference between Remote Amazon Electrical Engineering vs Remote Amazon Electrical Technician?

AspectRemote Amazon Electrical EngineeringRemote Amazon Electrical Technician
Required CredentialsBachelor's degree in Electrical Engineering or related field, professional engineering license often preferredTechnical diploma or associate degree in electrical technology, relevant certifications
Work EnvironmentDesign, development, and troubleshooting of electrical systems, often involving software toolsInstallation, maintenance, and repair of electrical equipment, often on-site or remotely
Employer & Industry UsageUsed in engineering departments, product development, and system design within AmazonUsed in maintenance, repair, and operational support roles within Amazon facilities

Remote Amazon Electrical Engineering focuses on designing and developing electrical systems, requiring a degree and engineering expertise. In contrast, Remote Amazon Electrical Technicians handle installation and repairs, typically needing technical certifications. Both roles are essential in Amazon's operations but differ in responsibilities and qualifications.

Can I work remotely as a remote amazon electrical engineering?

Remote electrical engineering roles at Amazon are available, allowing employees to work from home depending on the specific position and team requirements. These roles typically require strong technical skills, familiarity with tools like CAD and simulation software, and may involve collaboration via virtual platforms. Availability of remote work varies by team and job function.

Does Amazon allow fully remote work?

Amazon offers fully remote positions for certain roles, including some in electrical engineering, depending on the team and job requirements. Remote work policies vary by department and location, and candidates should review specific job postings for remote work options and eligibility criteria.

What are the most commonly searched types of Amazon Electrical Engineering jobs in Ontario?

The most popular types of Amazon Electrical Engineering jobs in Ontario are:

What are popular job titles related to Remote Amazon Electrical Engineering jobs in Ontario?

For Remote Amazon Electrical Engineering jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Electrical Engineering jobs in Ontario look for?

The top searched job categories for Remote Amazon Electrical Engineering jobs in Ontario are:

What cities in Ontario are hiring for Remote Amazon Electrical Engineering jobs?

Cities in Ontario with the most Remote Amazon Electrical Engineering job openings:

Senior Machine Learning Engineer

Career Renew

Toronto, ON โ€ข Remote

$165K - $225K/yr

Full-time

Re-posted 25 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.