About the role#
As a Deep Learning Research Intern, you will join an interdisciplinary team to develop, prototype, and implement new methods in artificial intelligence. You will have the opportunity to advance the state of the art in research areas such as sequential and multimodal reasoning, generalization, data efficiency, interaction models, and embodied AI. This program encourages you to contribute to scientific publications while working alongside experienced researchers and engineers.
What you'll do#
- Develop and implement fundamental research methods.
- Advance current artificial intelligence technologies.
- Collaborate with a team of researchers and engineers.
- Prepare and publish findings at scientific conferences.
What you'll need#
- Current enrollment in a Bachelor’s, Master’s, or PhD program in Electrical Engineering, Computer Engineering, Engineering Science, Computer Science, or a related field.
- Expected graduation date of November 2027 or later.
- Strong foundation in deep learning fundamentals, including modern architectures, optimization, and training methodologies.
- Experience developing deep learning models for text, image, or video applications.
- Proficiency in Python and PyTorch.
- At least 1 year of academic experience with programming languages like C, C++, or Python.
- Prior experience with research and publications at academic conferences is a plus.
Location & details#
- Location: Markham, Ontario, Canada.
- Term: 4 months, available May or June 2027 through August or September 2027.
- Work Modality: On-site.
- This is a full-time, paid internship.
About Qualcomm
Qualcomm manufactures semiconductors and develops computing technologies. Founded in 1985, the company maintains its headquarters in San Diego. It serves markets including mobile, automotive, and the internet of things. The organization employs more than 10,000 people and operates as a public company.
How to get in at Qualcomm
Applying to Qualcomm early provides a distinct advantage because recruiters review applications before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first. This timing ensures your materials are seen while the team is still actively building their shortlist. Reaching out to the right people often yields better results than submitting through a general portal. Intern Insider surfaces the recruiters behind Qualcomm roles so you can contact them directly to ask about the position or a referral. This approach materially improves your response rates compared to waiting in a queue.
