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Remote Robotics Engineer Jobs in Toronto, ON (NOW HIRING)

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 ...

TOPOLIO

Software Engineer, CTO (Remote)

Toronto, ON · Remote

We are looking for a talented full stack software engineer to build SaaS application. You are an energetic and driven leader with a proven track record of taking new ideas from concept to market. You ...

Mercor

Software Engineering Expert - AI/ML

Toronto, ON · Remote

CA$60 - CA$75/hr

Remote Commitment: 15-20 hours/week Role Responsibilities * Author tasks to test AI reasoning over technical documentation. * Evaluate AI ability to follow precise instructions and produce accurate ...

Scotiabank

Software Engineer

Toronto, ON · On-site +1

We're looking for an Software Engineer to join our Automotive Finance Engineering team. You will play a key role in developing cloudready backend services, APIs, and frontend components that support ...

Uptalent.io

O-Calc or SPIDACalc Engineer

Toronto, ON · Remote

As an O-Calc or SPIDACalc Engineer, you will be responsible for providing accurate engineering calculations and designs to our clients worldwide. Our company is dedicated to matching global top-tier ...

Uptalent.io

O-Calc or SPIDACalc Engineer

Toronto, ON · On-site +1

As an O-Calc or SPIDACalc Engineer, you will be responsible for providing accurate engineering calculations and designs to our clients worldwide. Our company is dedicated to matching global top-tier ...

Sanofi EU

Software Engineer

Brampton, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto, ON (Hybrid) About the job Ready to push the limits of what's possible? Join Sanofi in one of our ...

Sanofi EU

Software Engineer

Maple, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto, ON (Hybrid) About the job Ready to push the limits of what's possible? Join Sanofi in one of our ...

Sanofi EU

Software Engineer

Unionville, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto, ON (Hybrid) Posting date: Closing date: About the job Ready to push the limits of what's possible?

Sanofi EU

Software Engineer

Toronto, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto, ON (Hybrid) About the job Ready to push the limits of what's possible? Join Sanofi in one of our ...

Sanofi EU

Software Engineer

Mississauga, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto, ON (Hybrid) About the job Ready to push the limits of what's possible? Join Sanofi in one of our ...

Sanofi EU

Software Engineer

Toronto, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto, ON (Hybrid) Posting date: Closing date: About the job Ready to push the limits of what's possible?

Sanofi EU

Software Engineer

Mississauga, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto, ON (Hybrid) Posting date: Closing date: About the job Ready to push the limits of what's possible?

Sanofi EU

Software Engineer

Unionville, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto, ON (Hybrid) About the job Ready to push the limits of what's possible? Join Sanofi in one of our ...

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Showing results 41-60

All JobsRobotics Engineer JobsRemote Robotics Engineer JobsRemote Robotics Engineer Jobs in Toronto, ON

Remote Robotics Engineer information

What is a remote robotics engineer?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

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

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

What are some typical challenges a remote robotics engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the most commonly searched types of Robotics Engineer jobs in Toronto, ON? The most popular types of Robotics Engineer jobs in Toronto, ON are:
What are popular job titles related to Remote Robotics Engineer jobs in Toronto, ON? For Remote Robotics Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Robotics Engineer jobs in Toronto, ON are:
Remote Robotics Engineer jobs near you
Infographic showing various Remote Robotics Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 16 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.