Machine Learning Engineer

Location: New York, NY
Position Overview
We are looking for experienced software engineers and researchers for our client, a world-leading information and media company. You will join and contribute to a variety of projects at the intersection of machine learning, natural language processing and computational linguistics. This group develops applications such as sentiment analysis of financial news, market impact indicators, social media analytics, topic clustering and classification, question answering, recommendation systems, risk analysis and predictive models of market behavior.

The ideal candidate would have a background in mathematics and statistics as well as machine learning and natural language processing and would be able to contribute immediately to the group's projects. The team members play a major role in the design and implementation of some of the most innovative and critical applications in the product.

Qualifications:
  • Strong C++ and/or Java experience
  • Strong Computer Science fundamentals (algorithms, data structures)
  • Background in natural language processing and/or machine learning
  • Mathematical background (probability & statistics) a strong plus
  • Industry experience developing multithreaded applications
  • Strong communications and interpersonal skills a must
  • Knowledge of SQL and standard RDBMSs a plus
  • Knowledge of Boost or similar libraries a plus
 
About MGRS Group
MGRS Group specializes in the placement of information technologists, with a very specific focus on object-oriented programmers. We effectively recruit for C/C++, C# and Java Software Engineers as well as Ruby on Rails, PHP, Python and Perl Developers. We work with the most talented developers in this business, at all levels in their career and within various areas such as Research and Development (R&D), Market Data, Trading Systems, HFT, Low Latency, Data Science, Machine Learning, Natural Language Processing (NLP), Artificial Intelligence (AI), Business Intelligence (BI), Big Data Analytics, Cloud Computing, Mobile Development, Websphere Portal and Business Integration.
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