Meta's network infrastructure team is responsible for designing, operating, and evolving one of the world's largest and most complex global networks. As a Network Quantitative Engineer, you will sit at the intersection of quantitative analysis, systems engineering, and network infrastructure to help shape how Meta's network scales to meet hyper-exponential demand. You will build analytical frameworks, develop data pipelines, and produce models that directly inform network planning, capacity decisions, and performance optimization across Meta's global backbone and edge infrastructure.

Qualifications:

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 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies