Are you interested in building models and creating algorithms to power the world’s largest public cloud? EC2 is Amazon's virtual machine compute platform. Many other services are built on top of it—EC2 Spot, Lambda, the Amazon Retail website, and Netflix, to name a few. The EC2 fleet comprises millions of machines in multiple locations, and its management involves complex trade-offs between utilization and capacity availability. Many of the business problems the EC2 Capacity Research team tackles are either concerned with matching supply and demand in the short- to medium term or the detection of anomalous behavior. In a typical project, we analyze large volumes of data, and then develop a predictive machine learning, or a prescriptive optimization model, or a hybrid approach that is frequently validated in simulations. We deliver actionable business information and drive the automated processes of other teams. A Research Scientist on this team must be comfortable working with large volumes
· MS or PhD in computer science, engineering, statistics, machine learning, operations research, mathematics, or in another highly quantitative field · Depth and breadth in state-of-the-art approaches in forecasting, planning, machine learning, or optimization · 2+ years of relevant academic research or industry experience in developing algorithms · Scientific mindset and the ability to invent · Excellent creative problem solving skills · Ability to design and develop system prototypes in simulation · Fluency in at least one statistical software package such as R, Matlab · Some experience in optimization