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Job Information

Qualcomm Senior Machine Learning Research Engineer in Markham, Ontario

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

We are searching for a Machine Learning Research Engineer to be part of Qualcomm AI Processor systems team responsible for developing AI applications for Qualcomm Snapdragon processors. The candidate will work on new cutting-edge machine learning algorithms in the areas of computer vision, video, and generative AI.

The responsibilities include reviewing and understanding the latest developments in the field of artificial intelligence related to vision, language and multimodal processing; developing new real-time, low power video processing and computer vision algorithms that run on Qualcomm Snapdragon processors; leveraging the latest developments in the field of artificial intelligence to develop low power, fast solutions for mobile applications; work closely with the hardware and software teams and support implementation and commercialization of our algorithms on Qualcomm Snapdragon devices.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field.

Minimum Qualifications:

  • Bachelor or master’s degree in electrical or computer engineering or related fields;

  • Solid understanding of machine learning algorithms;

  • Solid understanding of video processing and computer vision algorithms;

  • 2+ years of experience with machine learning frameworks like TensorFlow, PyTorch;

  • Excellent programming skills in Python, C/C++, Linux and Windows;

  • Strong motivation and capabilities in learning new subjects especially in the field of video processing, computer vision and artificial intelligence;

  • Strong problem-solving skills;

  • Effective interpersonal communications skill (written and verbal);

  • Analytical, thorough, resourceful and detail-oriented;

  • Self-motivated, hardworking, and flexible.

Preferred Qualifications:

  • Master’s or PhD degree with 2+ years of relevant work experience or publications in the areas of machine learning, computer vision, video/image processing algorithms, NLP or audio/speech processing.

Preferred Disciplines:

  • Electrical Engineering, Computer Science, Computer Engineering

Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

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