Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
RESPONSIBILITIES
- Work with various teams to understand Facebook's network, user base, performance constraints, and growth requirements
- Create modeling framework for various networking problems such as cross-layer optimization under constraints such as latency/availability, demand uncertainty, risk assessment, and data center optimization
- Data analysis from a large number of data sources to create a network strategy for capacities, location and facilities
- Work with procurement and other teams to devise strategies on hardware and network acquisitions around the globe
- Own the design, development, testing, and tuning of future capacity and topology models
MINIMUM QUALIFICATIONS
- Experience using concepts of operations research, stochastic optimization, machine learning, queuing theory, probability theory to construct models for solving network optimization problems
- Experience creating formulation using commercial mathematical optimization software like: Xpress, Gurobi, CPLEX, etc.
- Knowledge of Python, C++ or other programming languages coupled with experience creating models for network optimization
PREFERRED QUALIFICATIONS
- Experience with large data sets and distributed computing (Hive/Hadoop)
- Understanding of statistical analysis, experience with packages, such as R, SciPy, NumPy etc.