Network Modeling Engineer

Network Modeling Engineer
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Menlo Park, CA
Meta's global network comprised of cutting-edge platforms, is looking for a Network Modeling Engineer to join the Backbone and Edge Engineering planning team. This team is responsible for modeling, designing and supporting one of the world’s largest and most complex networks. As a Network Modeling Engineer, you will have a unique opportunity to work with key stakeholders and lead strategic analysis to shape the future of our data center and backbone networks to accommodate hyper-exponential growth as well as internal product requirements.
Network Modeling Engineer Responsibilities
  • Build network models that help influence and shape the long-term strategy across Facebook’s data center and backbone networks
  • Provide analysis to aid data-driven decisions to support our hyper-growth AI infrastructure
  • Collaborate with core teams to understand Facebook’s network, services, performance constraints and growth requirements
  • Conduct large data analysis from a number of data sources to help create a long term strategy across all network layers
  • Build and validate the hypothesis of various types of future network growth based on compute and storage demands
  • Own the design, development, and testing of pipelines and systems of such models in production
Minimum Qualifications
  • 2+ years of experience with concepts such as probability theory and analytical modeling of network problems
  • 2+ years of experience in statistical analysis, analyzing trends and patterns in data
  • 2+ years of coding experience in at least one programming language (e.g. Python, R, C++, or Java), and experience with SQL
  • Knowledge of computer networking, computer architecture and network resource bottlenecks
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
  • Experience with large data sets and distributed computing (e.g. Hive/Hadoop)
  • Experience with prediction methods and network simulations
  • Experience in data science and use of packages such as SciPy, NumPy, Pandas, Statsmodels, and/or SciKit-Learn
  • Understanding of GPU and machine learning infrastructure
  • Understanding of network fabrics and trade-offs in engineering designs
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.