FYIntern - Deep Learning Research Internship

Qualcomm 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 5G’s potential into world‑changing technologies and products. This is the Invention Age—and this is where you come in.

Qualcomm Canada ULC

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Interim Engineering Intern - SW

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 to various downstream applications, such as image editing or facial reenactment.

• 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, (Use the "Apply for this Job" box below)./
• [2] Hunyuan Video: A Systematic Framework For Large Video Generative Models, /
• [3] Wan:
  Open and Advanced Large-Scale Video Generative Models, /
• [4] Live Portrait:
  Efficient Portrait Animation with Stitching and Retargeting Control, /
• [5] Face Adapter for Pre‑Trained Diffusion Models with Fine‑Grained  Attribute Control, /
• [6] FLUX.
  1 Kontext:
  Flow Matching for In‑Context Image Generation and Editing in Latent Space, /
• [7] Instruct Pix2
  
  Pix:
  Learning to Follow Image Editing Instructions, /

• Python

• Pytorch
• Neural network architecture development and evaluation
• Computer Vision

• In study towards a Bachelor’s, Master’s or Ph.D. degree in Electrical Engineering, Computer Engineering or 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

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.

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  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…