Posted Jul 18, 2018 - Requisition No. 68177
News moves markets, and with an index of almost half a billion stories in dozens of languages, we face a huge task to surface the most important information to help our clients make the right decisions.
The News Search Experience team has built a system which uses machine learning to rank stories returned in millions of searches each day, in some of the Bloomberg Terminal's most used screens.
The competitive environment our clients work in mean we only have milliseconds to process each search, whether that be on a single company or a thousand-character long query covering a portfolio.
We rely heavily on open source technology including Solr/Lucene and the Hadoop stack, and we have co-authored the first machine learning based ranking platform for Solr which has been contributed back to the community.
Apply if you think we are a good match! We will get in touch with you to let you know what the next steps are. In the meantime, check us out at http://www.techatbloomberg.com/
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