Cisco is looking to build next-generation AI/ML solutions and revolutionize how data and infrastructure connect and protect organizations in the AI era.
Requirements
- Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go, including the use of common AI libraries, in an academic, project, or professional capacity.
- Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms.
- Knowledge of data pipeline design, tools, and maintenance.
- Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail).
- Familiarity with MCP/Agent workflows or supply chain processes.
- Experience contributing to AI-focused platforms or open tools (e.g., AI Defense Open Tools Portal, AI-SPM), data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn, and an understanding of Natural Language Processing (NLP) concepts.
Responsibilities
- Dive into the development and implementation of innovative generative AI applications using the latest large language models—think GPT-4, Claude, Llama, and beyond!
- Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs).
- Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment.
- Work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment.
- Experimentation with new technologies and ongoing learning are always encouraged.
- Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life.
Other
- Currently enrolled in an undergraduate degree program in a relevant field, such as Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related discipline.
- Able to legally live and work in the country for which you’re applying, without visa support or sponsorship.
- Collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation.
- Collaboration is at the heart of this role—work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment.
- What an exciting place to grow and make an impact!
