Research Intern - Multimodal Language Models

• Prototype implementations
• designing experiments
• analyzing results
• contributing to research that pushes the boundaries of efficiency in AI systems

• Accepted or currently enrolled in a PhD program in Computer Science or related STEM field
• Foundation in machine learning and deep learning, with expertise in areas such as multimodal language models, transformer architecture, efficient model design, compression, and quantization
• Proficiency in modern deep learning frameworks (e.g., PyTorch, DeepSpeed) for scalable model development and optimization
• Proven ability to define and execute original research agendas, demonstrating creativity and technical rigor
• Motivation to publish in top-tier academic venues, showcasing impactful contributions to the research community.

Familiarity with multimodal architectures and low-bit quantization