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Senior Machine Learning Engineer Jobs in Ontario

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an extensive track record. * Architect scalable machine learning and Gen AI systems that integrate with ...

Stripe

Machine Learning Engineer

Toronto, ON · Remote

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to ...

Adobe

Machine Learning Engineer

Toronto, ON · On-site

We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring ... Experience fine-tuning LLMs for specific learning tasks Experience deploying full-stack features to ...

onsemi

Machine Learning Engineer, Edge AI

Waterloo, ON

CA$120K - CA$170K/yr

We are looking for a Machine Learning Engineer, Edge AI to lead the integration and control of our next-generation AI accelerators. As our products evolve to include dedicated neural network hardware ...

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Senior Machine Learning Engineer information

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Ontario?

The most popular types of Machine Learning Engineer jobs in Ontario are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Ontario?

For Senior Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Ontario look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Ontario are:

What cities in Ontario are hiring for Senior Machine Learning Engineer jobs?

Cities in Ontario with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Ontario as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer, AI Processors (Sr to Staff)

The Institute for Performance and Learning

Markham, ON • On-site

$131 - $181/hr

Other

Posted 10 days ago

Job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary: We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon platforms. In this role, you will work on cutting‑edge machine learning algorithms and technologies spanning computer vision, multimodal AI, and agentic AI systems, and contribute to research and development of AI applications optimized for accuracy, efficiency, and real‑world performance on Snapdragon‑powered devices. Replacement Position

Responsibilities
  • Stay current with the latest advances in artificial intelligence, machine learning, and foundation models.
  • Research, develop, and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms.
  • Design and build innovative reference applications showcasing Snapdragon AI capabilities across mobile, edge, XR, and IoT devices.
  • Evaluate and balance hardware and software trade‑offs to achieve optimal performance, power efficiency, and user experience.
  • Support the implementation, optimization, and commercialization of AI algorithms and applications on Snapdragon devices.
Qualifications
  • Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or related fields.
  • Proficiency with modern machine learning frameworks such as PyTorch or TensorFlow.
  • Passion for innovation and for building efficient AI solutions on edge devices.
  • Strong software development skills in Python and/or C++.
  • Strong problem‑solving skills and the ability to work effectively in a cross‑functional environment.
  • Familiarity with embedded development, operating systems concepts and software development principles.
Preferred Qualifications
  • Master’s or PhD degree with 3+ years of relevant work experience or publications in the areas of machine learning, agentic AI, computer vision, video/image processing algorithms, NLP or audio/speech processing.
  • Experience developing and deploying AI solutions in real‑world applications.
  • Experience translating AI/ML algorithms into software applications running on edge devices.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Applicants

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability-accomodations@qualcomm.com or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$131,200.00 - $181,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

If you would like more information about this role, please contact Qualcomm Careers.

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