Sr. Machine Learning Engineer

Meet the team

Join the engineering team building the intelligent backbone of Splunk Observability Cloud. We are committed to leveraging the latest advancements in data science and machine learning to unlock unprecedented value from massive volumes of telemetry—metrics, traces, and logs—at petabyte scale. This role involves researching, developing, and deploying core analytical components focused on streaming anomaly detection, predictive intelligence, and automated root‑cause analysis.

• Apply the latest Generative AI and Agentic AI to enable AI features in Splunk Observability
• Collaborate across engineering and product teams to establish robust frameworks for evaluating AI systems’ trustworthiness and resilience.

• Master’s degree in computer science or related field and 4+ years of software engineering experience, or bachelor’s degree with 7+ years of experience.
• Experience designing and building scalable cloud‑based systems (AWS, Azure, or GCP), including container orchestration (e.g., Kubernetes, Docker).
• Experience with API design and frameworks (e.g. OpenAPI, Graph
  
  QL, gRPC, REST, etc.)
• Prior working experience in delivering RAG and Agentic products into production
• Expert at using vibe coding tools (Claude Code, Codex, Copilot, Windsurf, Cursor) is a must

• Exceptional problem‑solving skills, with the ability to analyze complex requirements and propose effective solutions.
• Experience developing, deploying, and maintaining applications in AWS environment with cloud native solutions.
• Experience monitoring and analyzing metrics, trace, span, and log content
• Background in observability, generative AI, or model robustness

We’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Cisco is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.