Sr. Machine Learning Engineer

Shaping the Future of Intelligent Observability

In this role, you will join the engineering team responsible for the analytical backbone of the Splunk Observability Cloud. Your primary focus will be designing and deploying sophisticated machine learning components that handle petabyte-scale data to provide real-time answers. You will work on the front lines of streaming anomaly detection and predictive intelligence, ensuring enterprise systems remain resilient through automated root-cause analysis.

A Modern, AI-Driven Development Culture

Cisco is looking for engineers who have evolved their workflow beyond traditional manual typing. This position requires deep expertise in 'vibe coding' tools like Claude Code, Copilot, and Cursor. You will apply these AI-assisted methods to develop production-grade Agentic AI and RAG (Retrieval-Augmented Generation) features. The tech stack is cutting-edge, involving Kubernetes, Docker, and diverse API designs like GraphQL and gRPC within an AWS cloud-native environment.

Scale, Impact, and Innovation

As a Senior ML Engineer, you won't just be building models; you'll be establishing the frameworks for AI trustworthiness and resilience. This is an opportunity to work at a global scale where your contributions directly impact how organizations protect and connect their digital infrastructure. You will collaborate with a worldwide network of experts to turn complex telemetry data into the predictive power that defines the next era of technology.