AI Researcher

Responsibilities

• We place a strong emphasis on publishing research and contributing meaningfully to the AI community. In this role, you will write scientific articles for top-tier machine learning and AI conferences, publish technical blog posts, and contribute to the open-source AI community!
• In this role, you will:
• Develop scalable data curation and processing methods that improve model training and task-specific performance.
• Build production-ready AI systems using strong software engineering practices.
• Optimize large language models and agentic systems for enterprise and security-focused use cases.

Requirements

• Bachelors + 2 years of related experience, or Masters + 0 years of related experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Strong experience with Python, PyTorch , production-grade software engineering practices, and common AI/ML libraries
• Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization
• Strong understanding of data pipelines, model experimentation, and scalable AI system design
• Strong communication skills, with the ability to explain complex research and engineering concepts to cross-functional partners
• Experience designing scalable data curation methods and building reliable infrastructure for large-scale model training, evaluation, inference, and deployment
• Experience deploying high-performance inference engines such as vLLM , NVIDIA Triton, or TorchServe , and working with cloud-native deployment, Docker, Kubernetes, MLOps pipelines, and major cloud platforms such as AWS, GCP, or Azure
• Demonstrated history of publishing research in top-tier AI/ML conferences such as NeurIPS , ICML, ICLR, or ACL, or contributing to significant open-source AI projects
• Experience designing and scaling agentic AI workflows, multi-agent frameworks, and autonomous AI systems
• Familiarity with cybersecurity principles, AI systems for security-focused use cases, safety, and robust machine learning
• Why Cisco?
• We are Cisco, and our power starts with you.
• Message to applicants applying to work in the U.S. and/or Canada:
• Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share

Additional Information

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team At Foundation AI, we are leading frontier AI research across Cisco. Our mission is to advance the state of AI. We translate that research into purpose-built models, agentic systems, new algorithms, optimization methods, and scalable data processing techniques that solve real-world problems at scale. We explore new model architectures, pre-training and post-training methods, inference optimization, evaluation techniques, and data pipelines. Together, we are advancing AI at Cisco and for the broader AI community!

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