
FY26 Intern - AI Processor Solutions Machine learning Intern - Canada (16 months)
- Markham, ON
- Training
- Full-time
Interim Engineering Intern - SystemsQualcomm Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.General Summary:We are searching for a Machine Learning engineering intern to be part of the Qualcomm AI Processor Solutions team responsible for developing machine learning based applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on new cutting-edge algorithms in the areas of artificial intelligence, machine learning, computer vision and video processing and contribute to research and development of new applications that bring artificial intelligence to mobile and edge devices. The responsibilities include reviewing and understanding the latest developments in the field of artificial intelligence/machine learning, training neural networks to learn new tasks, generating datasets to train AI models and automating the process of dataset generation, optimizing neural networks to run on Qualcomm Snapdragon processors in real time at low power, quality assessment, testing, competitive analysis and customer support. Successful candidates will work very closely with AI engineers and support them in completing their research and development work.Minimum Qualifications:
- Strong academic records (GPA 3.0 or 72% and better);
- Excellent programming skills in Python, C/C++, Linux and Windows;
- Outstanding marks in math and statistics courses;
- Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence;
- Strong problem-solving skills;
- Effective interpersonal communications skill (written and verbal);
- Analytical, thorough, resourceful and detail-oriented;
- Self-motivated, hardworking, and flexible.
- Basic understanding of machine learning, computer vision, video/image processing algorithms and applications is a bonus
- Master's or PhD students are welcome to apply.
- In study towards a bachelor's degree in one of the following: Electrical Engineering, Computer Engineering, Engineering Science, Computer Science, or related field
- Eligible candidates must have a graduation date in December 2027 or later, including May or June 2028.
- For 16-month internships: must be available May 2026 - August 2027