Posted Mar 31, 2017 - Requisition No. 57865
News stories move the financial markets. In addition to being the second largest producer of news, Bloomberg ingests more than 70,000 different news feeds to help our clients stay in the know. This data would be unmanageable without our help.
Who are we? Bloomberg's Natural Language Processing (NLP) group - a group of specialists, researchers and software engineers who have a passion for solving complex NLP problems. Our main task? To extract relevant, meaningful, tradable information (pricings, earnings, major events) from news articles in real-time. Since customers rely on this information to make swift financial decisions, we need to guarantee precision, accuracy and latency beyond most academic and industry demands.
We are building new NLP models for name entity recognition, disambiguation and syntactic parsing of social media and other difficult news sources. The infrastructure and algorithms we develop are used across the company by data scientists. For example, our ML team leverages our work to extract sentiment analysis from social media (http://www.bloomberg.com/company/announcements/trending-on-twitter-social-sentiment-analytics/). We are also building LibNLP (http://videolectures.net/anju_kambadur/), a platform for all NLP tasks which we hope to eventually open source.
Who are you? A strong software engineer who wants to work in the area of statistical language processing with a focus on building and enhancing low-latency distributed systems that perform information extraction.
You can also check out our Bloomberg Labs Website (http://www.bloomberglabs.com/data-science/) to learn how our data scientists apply methods from machine learning, natural language processing and search to complex problems across the company.