Automated Candidate Sourcing

Amazon.com Computer Science, 2012-13

Liaison(s): Charles Swan, Sabreen Lakhani ’11, Colin Bodell
Advisor(s): Melissa O’Neill
Students(s): Zachary Purdy (PM), Rai Feren, Joseph Dearden, Josh Oratz

Amazon.com needs to hire talented software engineers to maintain and develop their online software services. The industry-standard processes for finding candidates miss many strong developers and are time-consuming for Amazon’s recruiters. The goal of this project is to create a tool that improves the efficiency and breadth of Amazon’s candidate search by intelligently mining online resources.