FY26 Intern - Deep Learning Research Internship - Canada (4 months)
at Qualcomm
Posted 11 hours ago
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- Compensation
- Not specified CAD
- City
- Not specified
- Country
- Canada
Currency: $ (CAD)
This 4-month internship in Qualcomm Canada's Deep Learning Research team focuses on video diffusion for generative modeling. You will investigate novel architectures and training strategies to improve video generation quality and efficiency, explore conditioning mechanisms for downstream applications, and curate or generate use-case datasets. You will implement and benchmark baseline models, conduct thorough ablation studies, and optimize performance for scalability, with the goal of contributing to research papers at top-tier conferences. The role is onsite in Markham, Ontario, Canada, May–August 2026.
Company:
Qualcomm Canada ULCJob Area:
Interns Group, Interns Group > Interim Engineering Intern - SWQualcomm 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:
Before there were smartphones or smart cities, before autonomous cars or 360° virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, from IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality.
The field of generative modeling is evolving rapidly, with video diffusion emerging as a powerful paradigm for high-quality, temporally consistent video synthesis. This internship offers an exciting opportunity to explore the applicability of video diffusion models [1, 2, 3] to various downstream applications, such as image editing [6, 7] or facial reenactment [4, 5].
Responsibilities:
· Investigate novel architectures and training strategies to improve video generation quality and efficiency.
· Explore conditioning mechanisms to extend existing video diffusion models to downstream applications.
· Generate or curate use-case specific datasets to support model development and evaluation.
· Implement and benchmark baseline models for comparative analysis, including thorough ablation studies.
· Optimize model performance with a focus on computational efficiency and scalability.
The research conducted in this internship is aimed at advancing the field of generative modeling using video diffusion, with the expectation of contributing to paper submissions at top-tier conferences in the field.
[1] LTXVideo: Realtime video latent diffusion, https://arxiv.org/abs/2501.00103
[2] HunyuanVideo: A Systematic Framework For Large Video Generative Models, https://arxiv.org/abs/2412.03603
[3] Wan: Open and Advanced Large-Scale Video Generative Models, https://arxiv.org/abs/2503.20314
[4] LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control, https://arxiv.org/abs/2407.03168
[5] Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control, https://arxiv.org/abs/2405.12970
[6] FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space, https://arxiv.org/abs/2506.15742
[7] InstructPix2Pix: Learning to Follow Image Editing Instructions, https://arxiv.org/abs/2211.09800
Programming Languages:
· Python
Minimum Qualification:
· Pytorch
· Neural network architecture development and evaluation
· Computer Vision
Educational Requirements:
- In study towards a Bachelors. Masters or PHD degree in one of the following: Electrical Engineering, Computer Engineering, Computer Science
- Eligible candidates must have a graduation date in December 2026 or later, including May or June 2027.
- For 4-month internships: must be available May 2026 - August 2026
Work Location: This is a full-time, onsite position based in Markham. The role requires working from our office five days a week. Hybrid or remote work arrangements are not available.
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 myhr.support@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.
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.
Pay range and Other Compensation & Benefits:
$0.00 - $0.00The 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.
