Job title: FY24 Intern – Deep Learning Research Internship – Canada (4 months)

Company: Qualcomm

Job description: Job Description:

Company: Qualcomm Canada ULC

Job Area: Interns Group, Interns Group

Interim Engineering Intern – HW

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 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.

In the rapidly evolving field of 2D generative modeling, significant advancements are continually reshaping our capabilities in image synthesis and manipulation. This internship focuses on leveraging these advancements, particularly in 2D diffusion models [1], to explore efficient generative approaches, such as Consistency Models [2], and extend research into adjacent tasks like image editing, super-resolution, restoration, and outcropping [3, 4]. Another potential direction is the exploration of text-to-3D asset generation [5].

Responsibilities:

– Research and develop innovative approaches in 2D diffusion models for generative modeling.

– Extend research to adjacent tasks, such as super-resolution and image restoration, with a potential exploration into text-to-3D asset generation.

– Explore and implement more efficient techniques to enhance the performance of generative models, focusing on computational efficiency.

– Conduct implementation of baselines for comparative evaluation on benchmarks, along with thorough ablation studies.

The research conducted in this internship is aimed at advancing the field of 2D generative modeling, with the expectation of contributing to paper submissions at top-tier conferences in the field.

Programming Languages:

· Python

Minimum Qualification:

· Pytorch

· Neural network architecture development and evaluation

· Computer Vision

Educational Requirements:

· In study towards a Bachelors or Masters in the following:

Computer Science, Computer Engineering

· Looking for 1 Winter and 1 Summer Co-op: must be eligible for either Winter Co-op (January – April) or Summer Co-op (May – August)

[1] High-Resolution Image Synthesis with Latent Diffusion Models, ht

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

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 .

Expected salary:

Location: Markham, ON

Job date: Sat, 18 Nov 2023 23:57:56 GMT

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