This vacancy is for the EC2 Placement Quality Research Team, which is responsible with adopting machine learning and novel optimization techniques to optimize the placement of customer instances on physical hosts.
This problem-space is particularly interesting, as it requires us to build systems which solve multi-axis optimization problems.
Given EC2's massive scale, there are significant customer and business benefits that we can unlock. The team is also responsible for ensuring that our systems have good measurability and predictability.
The successful engineer will have knowledge and interest of Machine Learning or optimization techniques, and will work closely with our research-scientists to innovate for EC2 and its customers.