Meta · 14 hours ago
Network Quantitative Engineer
Menlo Park, CA
Full-time
Onsite
Entry, Mid Level
$122/hr - $181/hr
2+ years expMeta is a technology company that builds platforms for social connection and community growth. As a Network Quantitative Engineer, you will design and operate complex networks, develop forecasting and optimization models, and collaborate with teams to enhance network performance and reliability.
Computer Software
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
Qualification
Required
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
Preferred
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
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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