Cisco's AI Research team is looking to produce research advances in Generative AI to improve capabilities in networking automation, human-computer interaction, model safety, and other strategic gen-AI powered networking areas.
Requirements
- Experience working with Machine Learning Models (MLMs) and familiarity with associated frameworks, such as TensorFlow, PyTorch, Hugging Face, or equivalent platforms
- Experience in building, fine-tuning foundation models including LLMs and multi-modal models or domain specific models
- Ability to maintain cutting-edge knowledge in generative AI, Large Language Models (LLMs), and multi-modal models and apply these technologies innovatively to emerging business problems, use cases, and scenarios
Responsibilities
- Produce research advances in the field of Generative AI that improve the capabilities of models or agents for networking automation, human-computer interaction, model safety, or other strategic gen-AI powered networking areas.
- Research building domain-specific foundational representations relevant to networking, etc. that provide differentiative value across diverse sets of applications.
- Be a thought leader in the global research community via publishing papers, giving technical talks, organizing workshops etc.
Other
- PhD in Computer Science or a relevant technical field and experience within an industry or academic research lab or a Masters Degree with strong LLM pre-training and post training experience within an industry or academic research lab and a minimum of 3 publications within top AI Venues such as ACL, EMNLP, ICLR, ICML, NAACL, NeurIPS
- Experience driving research projects within an industry or university lab
- Interest in combining representation learning and problem-specific properties
- Outstanding communication, interpersonal, relationship building skills conducive to collaboration
- Experience working in an industrial research lab (full-time, internship, etc.)
