Generative AI Algorithms Student

Join the cutting-edge team at Samsung R&D Center as we embark on shaping the future of technology today. Beyond merely envisioning the horizon, we are actively pushing boundaries in various key areas of innovation. Samsung is committed to pioneering continuous advancements, delivering value to society, and fostering an environment where our employees can fully unleash their talents, creativity, and passion. Join us in building the tomorrow we envision,

The Group

Samsung Israel Research Center (SIRC) is a product-oriented innovation center of Samsung Semiconductor business. The IAMAI team in SIRC is responsible for research, development, and in-depth analysis of algorithms in the field of image and video processing. Our goal is to make reliable algorithms, which improve the quality of images and videos taken by Samsung’s smartphone cameras, even at highly challenging conditions, such as extreme low-light. We leverage cutting-edge tools, including state-of-the-art deep neural networks and generative AI models. If you're passionate about research and aspire to directly influence real-world products, your search for the ideal opportunity ends here!

What will you do?

Work on the next generation of Samsung’s smartphone cameras to make its images and videos look better than ever before. Research and develop cutting edge algorithms in the field of Generative AI targeted for image/video generation.

Your responsibilities will include:

• In-depth exploration of both academic and industry-based solutions
• Define, implement, test, train, and evaluate Generative AI schemes
• Identification of the right figures of merits

Requirements:

• PhD Student in Math / CS / EE / Physics or related fields
• Experience in Generative models (Diffusion Models, Flow Matching, etc.)
• Experience with Python, PyTorch
• >50% position expected, with high flexibility

Advantages

• Experience in Computer Vision and Image Processing
• Experience with Linux
• Experience in scientific writing

*Applicants are asked to take special care to avoid sharing, using, or disclosing any trade secrets or confidential information belonging to their current or former employers, from the time they apply and throughout the entire recruitment process.