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Remote Embedded Controls Engineer Jobs in Toronto, ON

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... controls, model registry, has experience dealing with ML lifecycles Experience with feature search ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$92 - $100/hr

CHQ (Hybrid - 3 days remote), 1908 Colonel Sam Drive, Oshawa Job Overview As an Azure and ... Clean, prepare and optimize datasets for performance, ensuring lineage and quality controls are ...

JBT Marel Corporation

Field Service Technician

Guelph, ON · Remote

CA$25 - CA$35/hr

As a Field Service Engineer at JBT Marel your most important responsibility is to provide customer ... You will work with electrical/pneumatic/embedded controllers/servo systems (dependent on experience ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Clean, prepare and optimize datasets for performance, ensuring lineage and quality controls are ...

Adastra

Data Solutions Engineer

Thornhill, ON · Remote

Fully Remote Employment Type: Contractor Vacancy Status: New RESPONSIBILITIES * Collaborate with ... controls into all solutions * Lead proof-of-concepts (POCs) and support vendor/tool evaluations

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Remote Embedded Controls Engineer information

What is the difference between Remote Embedded Controls Engineer vs Remote Firmware Engineer?

AspectRemote Embedded Controls EngineerRemote Firmware Engineer
CredentialsBachelor's in Electrical, Mechanical, or Computer Engineering; experience with embedded systemsBachelor's in Computer Engineering, Electrical Engineering, or related; proficiency in embedded programming
Work EnvironmentDesigning and testing embedded control systems for machinery and automationDeveloping low-level firmware for devices and hardware components
Industry UsageManufacturing, robotics, industrial automationConsumer electronics, IoT devices, hardware startups

While both roles involve embedded systems, the Remote Embedded Controls Engineer focuses on designing and integrating control systems for machinery, whereas the Remote Firmware Engineer specializes in developing firmware that runs directly on hardware components. The roles often overlap but differ mainly in scope and application.

What are Remote Embedded Controls Engineers?

Remote Embedded Controls Engineers are professionals who design, develop, and maintain embedded control systems for various devices or machinery, while working from a remote location. They work with both hardware and software to ensure systems like automotive controls, industrial machines, or IoT devices function as intended. Their responsibilities include writing firmware, debugging control systems, integrating sensors and actuators, and ensuring real-time performance. Remote positions allow them to collaborate with teams and manage projects using online tools, making this role accessible from anywhere with an internet connection.

How do Remote Embedded Controls Engineers typically collaborate with cross-functional teams given the remote work setting?

Remote Embedded Controls Engineers regularly collaborate with hardware, software, and testing teams through virtual meetings, version control platforms, and collaborative documentation tools. Clear communication and proactive status updates are essential, as team members may be distributed across different time zones. Engineers often participate in code reviews, design discussions, and troubleshooting sessions via video calls or messaging platforms, ensuring alignment on project goals and integration timelines. While remote, they are still expected to contribute actively to problem-solving and continuous improvement initiatives.

What are the key skills and qualifications needed to thrive as a Remote Embedded Controls Engineer, and why are they important?

To thrive as a Remote Embedded Controls Engineer, you need expertise in embedded systems design, control theory, and proficiency with programming languages such as C/C++, along with a relevant engineering degree. Familiarity with microcontrollers, real-time operating systems (RTOS), hardware-in-the-loop (HIL) simulation tools, and often certifications like Certified Embedded Systems Engineer (CESE) are highly valuable. Strong problem-solving abilities, self-motivation, and excellent remote communication skills distinguish top performers in this role. These skills are crucial for developing reliable embedded control solutions and collaborating effectively within distributed engineering teams.
What are the most commonly searched types of Embedded Controls Engineer jobs in Toronto, ON? The most popular types of Embedded Controls Engineer jobs in Toronto, ON are:
Remote Embedded Controls Engineer jobs near you

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Posted 9 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.