Lead Machine Learning Engineer – Meraki Assurance

Company: Cisco Meraki
Location: Remote (U.S. Only)
Job Type: Full-Time
Department: Engineering / Artificial Intelligence & Machine Learning

Cisco Meraki is transforming the networking industry by creating intuitive and powerful solutions that help organizations everywhere simplify their IT. As part of Cisco, Meraki’s Assurance team is focused on delivering reliable, intelligent network experiences through cutting-edge AI/ML technologies.

We are looking for a Lead ML Engineer to join the Meraki Assurance team, where you’ll play a pivotal role in shaping the future of intelligent networking. You will lead the design and deployment of machine learning models that improve performance, reliability, and visibility across large-scale network infrastructures.

This is a remote position available anywhere in the U.S., offering the flexibility to work from wherever you thrive.

• Design, develop, and deploy scalable machine learning models focused on network diagnostics, anomaly detection, and predictive analytics
• Lead architectural decisions and guide junior engineers on ML best practices
• Collaborate with cross-functional teams (data engineering, product, UX, and network engineers)
• Implement A/B testing, model monitoring, and CI/CD pipelines for ML workflows
• Leverage large-scale telemetry data to generate insights and optimize user experiences
• Stay current with ML research, tools, and technologies; evaluate and integrate new approaches

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
• 6+ years of industry experience in building and deploying ML systems
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Strong understanding of statistical modeling, time series forecasting, and anomaly detection
• Proven track record of leading complex technical projects
• Excellent communication skills and ability to work in a collaborative environment

• Experience in network systems or infrastructure monitoring
• Familiarity with data engineering pipelines (e.g., Airflow, Spark, BigQuery)
• Exposure to reinforcement learning or deep learning applications
• Contributions to open-source ML/AI projects

• Work with a passionate, mission-driven team at the cutting edge of network intelligence
• Competitive salary and comprehensive benefits
• Remote-first culture with flexible schedules
• Access to Cisco’s world-class learning and development programs
• The opportunity to work on real-world problems that impact millions of users globally

Apply directly via Cisco Meraki’s careers page or submit your resume and portfolio (if applicable) to [Insert Cisco Meraki Application URL].