Senior Staff 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. If you thrive on the challenge of building enterprise-grade, scalable ML systems and applying sophisticated techniques to complex, high-impact problems, you will be instrumental in delivering the full-stack, real-time answers and automation required for our customers to achieve true digital resilience across any cloud-native or hybrid environment. Your Impact Lead the design, development, and evolution of Agentic platforms and machine learning algorithms for anomaly detection, prediction 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. Provide technical leadership and mentorship within the team, establishing leading practices for development, testing, and artifact management. Minimum Qualifications Master's degree in computer science or related field and 10+ years of software engineering experience, or bachelor's degree with 15+ years of experience. Experience designing and building scalable cloud-based systems (AWS, Azure, or GCP), including container orchestration (e.g., Kubernetes, Docker). Proven experience in technical leadership, architecture design, and end-to-end feature ownership in AI/ML or platform domains. Experience with API design and frameworks (e.g. OpenAPI, GraphQL, 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 Up To Date knowledge on the latest Agentic and Generative AI industry trend and framework Preferred Qualifications 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 Why Cisco? At Cisco, 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. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $210,600.00 to $305,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. 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 m ... (truncated, view full listing at source)