Machine Learning Engineer

**The application window is expected to close on:** 07/31/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This is a hybrid role based out of Cisco's San Jose or Seattle office. Meet the Team The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. Your Impact We are seeking a Machine Learning Engineer to build dynamic troubleshooting agents that don’t just monitor networks—they understand them. Our team is solving for the massive complexity of unstructured production log data, optimizing hardware utilization for data collection, and automating the creation of synthetic datasets that push the boundaries of what LLMs can achieve in network configuration and remediation. You won't just be maintaining pipelines, you will be architecting the data infrastructure that allows our models to reason through real\-world network failures in real\-time. * Design and scale automated pipelines that transform raw, high\-velocity production logs into high\-quality insights. * Develop systems that generate synthetic data, enabling our models to learn from edge cases that rarely occur in the wild. * Solve network complexity problems by tackling the unique challenges of time and network state dependencies to improve the accuracy of our agents. * Optimize at scale through efficient data collection and hardware utilization, ensuring our ML infrastructure remains per