This role is for an AI Researcher II (Intern) position at Cisco, focusing on frontier AI research. The team, Foundation AI, aims to advance the state of AI by developing purpose-built models, agentic systems, new algorithms, optimization methods, and scalable data processing techniques to solve real-world problems. The research areas include new model architectures, pre-training and post-training methods, inference optimization, evaluation techniques, and data pipelines. The goal is to advance AI within Cisco and contribute to the broader AI community. The intern will work on the research, development, and deployment of advanced AI systems, with a focus on large language models, agentic AI, multimodal learning, and enterprise-scale AI applications. They will translate frontier research into practical systems by designing experiments, developing new methods, and turning research insights into impactful, scalable AI solutions. Specific interests include algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. The role involves driving improvements to training algorithms, curating and optimizing data at scale, and designing infrastructure for purpose-built models. A strong emphasis is placed on publishing research and contributing to the AI community through scientific articles, technical blog posts, and open-source contributions.
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Job Type
Full-time
Career Level
Intern
Education Level
Associate degree