2026 Intern, Computer Vision/AI (Spring/Summer)
About The Position
Lab Summary: Samsung Research’s AI Center (AIC) located in Mountain View, California, is currently recruiting outstanding research interns for the Vision Intelligence lab. Our goal is to perform long-term research with potential for direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art in multimodal understanding, generation, editing, long-term planning and tool use. Our team is dedicated to developing state-of-the-art generative AI models with a focus on diffusion models and multimodal content generation. We aim to advance foundational AI research and achieve groundbreaking results in image generation, video generation, and 3D generation. Position Summary: We are looking for students for full time internships for both the Spring and Summer sessions (12-14 weeks in length). Interns will work on user-controllable video generation, creating algorithms to ensure temporal and spatial coherence in generated videos, with interactive user controls. This will involve coming up with architectures and algorithms that ensures plausible physics being correctly represented by generative models. Interns will have the opportunity to propose ideas for the projects and lead the research that at least roughly follow the topics mentioned above.
Requirements
- Currently pursuing a PhD or Master’s degree in Computer Science, AI, Machine Learning, or a related field
- Strong background in deep learning, diffusion models, and generative AI
- Experience with PyTorch, and familiarity with large-scale model training
- Passion for pushing the boundaries of AI research and solving complex challenges
Nice To Haves
- Strong publication record in top AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ICLR, SIGGRAPH) is a plus
Responsibilities
- Conduct research in deep learning and generative AI, focusing on foundational models for image, video, and 3D generation
- Develop novel architectures and optimization techniques for diffusion models and related generative approaches
- Implement and experiment with scalable AI models on large-scale datasets using high-performance computing resources
- Collaborate with a world-class team of researchers and engineers, with opportunities to publish in top AI conferences.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
