Network Quantitative Engineer

Meta's global network powers products for billions of people and is continually evolving to support the demands of next-generation applications. As part of the Network Infrastructure team, you'll help design and operate one of the world's largest, most complex networks-scaling infrastructure to meet the needs of emerging technologies and rapidly growing workloads.As a Network Quantitative Engineer, you will play a pivotal role in shaping the future of Meta's network to accommodate significant growth across broad applications. You'll build production-grade forecasting and optimization models, develop robust data foundations for decision-making, and collaborate with engineers and planners to ensure our infrastructure delivers the scale, performance, and reliability required for Meta's products and services.This is a unique opportunity to work at the intersection of quantitative analysis, systems engineering, and network infrastructure-where your contributions will help Meta deliver products and services to billions of users worldwide.

Network Quantitative Engineer Responsibilities:

• Build and productionize models for network forecasting, capacity planning, and performance risk, including uncertainty and sensitivity analysis
• Design and maintain scalable datasets, feature pipelines, and monitoring systems to support modeling and decision workflows
• Develop and apply algorithms, analytical tooling, and approaches-including what-if analysis, optimization, anomaly/change detection, causal inference, prescriptive analytics, and simulation etc.-to support infrastructure planning and drive improvements across Meta's global network
• Communicate results and recommendations through clear narratives, dashboards, and decision support tools
• Partner cross-functionally to translate network infrastructure needs into measurable metrics, model requirements, and shipped solutions

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• 2+ years of experience applying statistical, machine learning, or optimization methods to real-world problems
• Programming skills in Python (or similar) and SQL, experience with large-scale data
• Experience delivering production-quality analytics/models including testing, code review, and scheduled pipelines or services

• Master's or PhD in a quantitative field
• Experience with time-series forecasting for large-scale systems and uncertainty quantification
• Familiarity with networking fundamentals, or equivalent experience in large-scale infrastructure domains
• Proven track record in algorithm design and implementation for large-scale data, optimization, anomaly detection, or network infrastructure challenges