AI Research Scientist III (Full Time) – United States
Cisco - San Francisco, CA
Hiring: AI Research Scientist III (Full Time) – United States Company: Cisco Location: San Francisco, CA Job Posted Time: 2026-09-16 04:59:20 Employment Type: Full Time Target Skills & Keywords: AI Research, Large Language Models (LLMs), Agentic AI, Multimodal Learning, Pre-training, Post-training, Inference Optimization, Data Curation, Python, PyTorch, MLOps, vLLM, NVIDIA Triton, TorchServe, Docker, Kubernetes, AWS, GCP, Azure Experience: - Bachelors + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization. - Experience designing scalable data curation methods and building reliable infrastructure for large-scale model training, evaluation, inference, and deployment (preferred). - 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 (preferred). - Demonstrated history of publishing research in top-tier AI/ML conferences such as NeurIPS (preferred). Required Skills: - Strong experience with Python, PyTorch, production-grade software engineering practices, and common AI/ML libraries. - 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. - Ability to develop scalable data curation and processing methods that improve model training and task-specific performance. - Ability to build production-ready AI systems using strong software engineering practices. - Ability to optimize large language models and agentic systems for enterprise and security-focused use cases. Qualifications: - Bachelors + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Deep expertise in algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. - Strong background in research, development, and deployment of advanced AI systems spanning large language models, agentic AI, multimodal learning, and enterprise-scale AI applications. - Emphasis on publishing research and contributing meaningfully to the AI community through scientific articles, technical blog posts, and open-source contributions. Compensation: Not specified in the provided job text. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!