2027 Summer Intern, Generative AI based Imaging and Video R&D

Samsung Research America Internship•Plano, TX

6d•$44 - $59•Onsite

About The Position

The Mobile Processor Innovation (MPI) Team at Samsung Research America conducts research and development for Samsung Electronics, including the Mobile eXperience business. The team develops next-generation visual technologies for smartphones and other mobile devices in collaboration with teams around the world. The summer intern will conduct advanced research in generative AI for smartphone camera and visual technologies. The role involves developing and evaluating algorithms that create new visual experiences and improve existing ones, including generative approaches to low-light enhancement, super-resolution, and fast-motion capture. The intern will work alongside industry experts, learn how flagship camera systems operate, and explore emerging camera technologies. The research may contribute to future Samsung mobile products. The position is performed in an office setting. It requires sitting and standing at a desk, communicating in person and by telephone, and frequently operating standard office equipment such as telephones and computers. Applicants must be legally authorized to work in the United States and must not disclose trade secrets belonging to current or previous employers during the application and recruitment process.

Requirements

Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Computer Engineering, or an equivalent combination of education, training, and experience.
Hands-on experience with deep learning and computational photography.
Coursework in AI/deep learning, embedded systems, and imaging/computer vision algorithms.
Strong communication skills for effective interactions with team members.
Legally authorized to work in the United States.

Nice To Haves

Publications or open-source projects in generative imaging, video synthesis, or image restoration, such as work involving diffusion models, GANs, or transformer-based approaches.
Experience deploying models on mobile or edge hardware, or familiarity with model optimization techniques such as quantization and pruning.

Responsibilities

Develop generative AI algorithms for computational photography and video, including low-light imaging, super-resolution, and fast-motion capture.
Design neural network architectures and processing pipelines for advanced imaging and video applications.
Prototype and evaluate image and video quality using quantitative metrics and perceptual assessment.
Design algorithms that respect mobile system constraints, including power consumption, memory, and runtime performance.
Build demonstrations showing the feasibility and usability of new technologies.