Multimodal AI & AI Systems Research Intern

**About The Team** We are a research team based in Europe, working at the intersection of **Generative AI, Video, Efficient AI, and Distributed Systems** . We collaborate closely with leading universities and research institutions, as well as engineering teams, to explore and build the **next generation of efficient multimodal AI systems** . We are looking for highly motivated **Master’s and PhD students** who are excited about multimodal intelligence and interested in working on challenging research problems with real-world, large-scale AI systems. **What You Will Work On** Depending on your background, research interests, and experience, you may contribute to one or more of the following areas: **Multimodal & Generative AI** * Vision-Language Models (VLMs) * Video generation and understanding * World Models * Multimodal agents * Diffusion and generative models **Efficient AI** * Model compression and quantization * Sparsity and efficient attention mechanisms * Inference optimization and acceleration * Efficient execution of large multimodal models **Long-Context & Memory** * Long-context modeling * KV Cache optimization * Memory systems for large AI models * Efficient information retrieval and context management **AI Systems & Infrastructure** * Distributed inference and parallel computing * Scheduling and resource optimization * GPU/NPU memory optimization * Hardware-software co-design * Scalable AI infrastructure **AI for Real-World Applications** * Explore how large multimodal and generative models can be efficiently deployed in practical, large-scale scenarios * Develop and evaluate solutions that improve model performance, scalability, and efficiency You will have the opportunity to **identify interesting research problems, prototype new ideas, design and conduct experiments, and evaluate solutions at scale** . Depending on the project and research outcomes, there may also be opportunities to **publish research papers or contribute to open-source projects** . **What We Are Looking For** * Currently pursuing a Master’s or PhD degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field * Strong interest in Multimodal AI, Generative AI, LLMs, Computer Vision, Video, or AI Systems * Solid programming skills in Python and/or C++ * Familiarity with PyTorch and modern deep learning frameworks * Strong analytical, problem-solving, and research skills * Ability and motivation to independently explore and prototype new ideas Experience in one or more of the following areas would be an advantage: * Vision-Language Models, Video Generation, or Diffusion Models * LLM inference and optimization * CUDA, GPU, or NPU programming * Distributed training or inference * Quantization, sparsity, or efficient attention * Large-scale AI systems * Open-source AI projects * Academic research and publications **What We Offer** * The opportunity to work on cutting-edge Multimodal AI, Video Generation, World Models, and AI Systems research * Close collaboration with researchers and engineers from leading universities, research institutions, and industry teams * Access to large-scale AI models and advanced AI computing platforms * Opportunities to publish research and contribute to open-source projects * A highly international research environment in Europe * Potential opportunities for continued collaboration, thesis projects, or future positions **Who We Are Looking For** We are particularly interested in students who are not only excited about **making AI models smarter** , but who also want to explore: **How can we make large multimodal models faster, more scalable, and more efficient?** If you are excited about the future of **Multimodal AI, Video Generation, World Models, and large-scale AI Systems** , we would love to hear from you.