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Research Associate Machine Learning Jobs in Ontario

The Team The Security Machine Learning Engineer will play a key role in transforming our Security ... Research & Innovation * Stay current on advancements in security data science, adversarial ML, and ...

We are seeking a Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data ... Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into ...

Machine Learning Engineer - Enterprise

Toronto, ON ยท On-site

CA$150K - CA$400K/yr

Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large ... We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our ...

CA$140K - CA$225K/yr

Position Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

As a research scientist, you will invent new AI technologies that enable our launch of fully ... Submit and publish work externally at top machine learning, computer vision, and robotics ...

Reporting to the Associate Director, AI and ML, this role is hands-on across the full AI delivery ... Conducting applied research on emerging models, agent frameworks, and AI engineering patterns, and ...

CA$131K - CA$181K/yr

Research, develop, and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms ... Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or ...

Showing results 41-60

Research Associate Machine Learning information

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

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

Machine Learning Engineer, AI Processors (Sr to Staff)

Markham, ON โ€ข On-site

CA$131K - CA$181K/yr

Other

Re-posted 8 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 cuttingโ€‘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 realโ€‘world performance on Snapdragonโ€‘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 tradeโ€‘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 problemโ€‘solving skills and the ability to work effectively in a crossโ€‘functional environment.
  • Familiarity with embedded development, operating systems concepts and software development principles.
Preferred Qualifications
  • Masterโ€™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 realโ€‘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 eโ€‘mail disability-accomodations@qualcomm.com or call Qualcomm's tollโ€‘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 salesโ€‘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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