We take pride in creating exceptional products, elegant architecture and clean, simple code.
We operate at scale. We serve a lot of traffic with consistently fast page speeds. We process massive quantities of images and data every day.
We believe in building tools and systems, gathering stats and monitoring. We automate everything so that we can spend time on more interesting projects.
We give engineers a lot of latitude because we trust in their ability to make an impact.
MySQL, memcached, nginx, Solr, RabbitMQ, Hive, AWS (EC2, Route53, S3), Splunk.
Over the past year, our engineering team has undertaken the task of creating a more personalized experience for our users. We already have an amazing community of designers, artists, and fashion enthusiasts who come to Polyvore to get inspired around shopping. However, we felt that with a little bit of machine learning we could help users discover and shop for even more products that they may not have found on their own.
Get to know the Polyvore team! As we approach the end of 2014, Andrea talks about how she analyzed Polyvore search queries to get a pulse on the community over the past year. To learn more about Andrea, check out her About Me set here. And to learn more about Polyvore’s end of year search data, check out our blog post here. What do you do every day? I have a fascinating job!