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Senior Embedded Machine Learning Jobs in Toronto, ON

Geotab

Senior Embedded Developer

Oakville, ON · On-site

Geotab is seeking a Senior Embedded Developer who will be responsible for designing, developing ... Online learning and networking opportunities Electric vehicle purchase incentive program ...

Generac

Senior Embedded Engineer

Toronto, ON · Hybrid

They aim to bring their Embedded experience to the cross-functional squads that they are a part of, with a focus on collaboration, learning, and development. As a Senior Embedded Engineer, you will ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$84K - CA$128K/yr

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

BDO Canada

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

Your Opportunity BDO Digital is seeking an experienced and technically proficient Senior ML ... Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions.

Td

Machine Learning Engineer

Toronto, ON

CA$120K - CA$250K/yr

... senior levels, and will evaluate your application in its entirety. Layer 6 is the AI center of ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

Priceline

Senior Machine Learning Developer

Toronto, ON · Hybrid

CA$155K - CA$180K/yr

Machine Learning Developer The Search Platform at Priceline is the intelligence layer behind how millions of travelers discover and book hotels, flights, rental cars, and packages every day. It ...

TheAppLabb

Sr. Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/yr

Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and ...

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 ...

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Senior Embedded Machine Learning information

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are some common challenges faced by Senior Embedded Machine Learning Engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What does a Senior Embedded Machine Learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.
What are the most commonly searched types of Embedded Machine Learning jobs in Toronto, ON? The most popular types of Embedded Machine Learning jobs in Toronto, ON are:
Senior Embedded Machine Learning jobs near you
Infographic showing various Senior Embedded Machine Learning job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Senior Embedded Developer

Geotab

Oakville, ON • On-site

Other

Medical, Dental, Retirement

Posted yesterday

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Embedded Developer who will be responsible for designing, developing, and testing firmware for our IoT telematics devices - hardware that powers over 6 million subscriptions globally. If you love low-level systems programming, embedded firmware architecture, and building software that runs in connected vehicles around the world, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Senior Embedded Developer, your key area of responsibility will be firmware development for Geotab's IoT device portfolio, including GOAnywhere, extensible products, and asset trackers. You will design, write, and test embedded firmware in C and C++, contributing to both application-layer development and low-level driver work - with a particular focus on Controller Area Network (CAN) protocol driver development. You will be responsible for performing firmware development with architectural input in areas such as modem, GPS, vehicle data, and security; writing unit tests; and conducting integration and system-level testing in both real and simulated vehicles. You will conduct comprehensive code reviews to ensure industry coding standards are followed, debug firmware issues, identify areas for code improvement, and maintain up-to-date documentation for all areas of responsibility.

To be successful in this role, you will be a collaborative, detail-oriented engineer with deep expertise in embedded systems and a passion for building reliable, high-impact software. In addition, the successful candidate will have strong verbal and written communication skills and the ability to work cross-functionally with embedded developers, hardware engineers, and internal technical teams to define system architecture and constraints.

How you'll make an impact:

  • Develop an in-depth understanding of Geotab IoT devices (such as GOAnywhere, extensible product, and asset trackers) and how various firmware modules work

  • Perform firmware development, including architectural input, in required areas of expertise (modem, GPS, vehicle data, security) using C and other standards required by the RTOS, in accordance with Geotab's development standards

  • Write unit tests and perform integration and system-level testing in both real and simulated vehicles to demonstrate that new features meet design requirements

  • Conduct comprehensive testing and code reviews to ensure industry coding standards are followed

  • Debug firmware issues and identify areas for code improvement

  • Keep up-to-date documentation for all areas of responsibility

What you'll bring to the role:

  • Diploma or degree in Computer Science, Electrical Engineering, Software Engineering, or a related field (or equivalent combination of education and relevant experience)

  • 5+ years of experience in embedded firmware and hardware (systems) development

  • Proficiency in embedded C and C++, with hands-on experience in Controller Area Network (CAN) protocol driver development - ideally from working with vehicle manufacturers, Tier 1 automotive suppliers, or telematics companies

  • Experience with embedded RTOS, microcontroller design, firmware build chains, and CI/CD practices for embedded products

  • Familiarity with wireless products including cellular and Bluetooth, and experience with modem and GPS firmware modules

  • Ability to read schematics and data sheets for electronic components, with understanding of underlying electronics sufficient to influence firmware development and debugging

  • Strong verbal and written communication skills; ability to document complex technical systems and decisions clearly

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
This posting is for an existing vacancy.
 
Why job seekers choose Geotab:

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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