Network Quantitative Engineer

Meta is seeking a Network Quantitative Engineer to join their network infrastructure team, offering a unique opportunity to shape the future of one of the world's largest and most complex networks. This role sits at the intersection of quantitative analysis, systems engineering, and infrastructure development.

The position combines deep analytical work with practical engineering applications, requiring expertise in statistical analysis, data exploration, and networking fundamentals. You'll be working with cutting-edge platforms and technologies, helping Meta accommodate its hyper-exponential growth while meeting internal product requirements.

As a Network Quantitative Engineer, you'll be responsible for analyzing large-scale data sets, developing automated pipelines, and producing crucial visualizations that drive decision-making. The role requires strong technical skills in statistical analysis, using tools like R, SciPy, and NumPy, combined with a solid understanding of networking principles.

The ideal candidate should have at least a Bachelor's degree in Computer Science or related field, with 1+ years of experience in quantitative analysis and coding. Advanced degree holders with experience in operations research, stochastic optimization, or machine learning will have an advantage. You'll be working closely with Network Planners, Software Engineers, and Network Engineers, making this an excellent opportunity for someone who enjoys cross-functional collaboration.

Meta offers a competitive compensation package ranging from $117,000 to $173,000 annually, plus bonus and equity opportunities. The position is based in Menlo Park, CA, where you'll be working with some of the industry's brightest minds on challenges that impact billions of users worldwide. This role offers excellent growth potential and the chance to work on infrastructure that powers Facebook, Instagram, WhatsApp, and Meta's future AR/VR initiatives.