dMetrics develops machine learning and natural language processing techniques
to meet both high-precision and high-recall information needs. Staffed with three
research scientists, and supported by software engineers, we offer opportunities
for applied research on a variety of projects related to language understanding
ranging from solving classiﬁcation and structure prediction problems for ﬁne-
grained information extraction to building robust natural language processing
(NLP) architectures integrating syntactic and semantic components for
processing very large noisy data sets to mining and validating information
extracted from natural language data as well as annotating and curating text
Successful candidates will initiate and execute applied research projects,
develop innovative algorithms to analyze noisy data, coauthor patents, and stay
current with the academic state-of-the-art.
The candidates should have a strong background in machine learning, data mining,
and/or NLP. A solid research publication record in these areas is a plus. Experience
in processing very large noisy data sets and strong hands-on Java development skills
are both desirable.
Applicants to the Research Scientist position: please include a resume, a short
summary of research lines of interest, and a description of the contributions you
can make to these lines of research.
Note: If you are an NLP, ML, or data mining researcher interested
in joining our team and your proﬁle does not perfectly ﬁt the positions listed below,
don't hesitate to contact us anyway. We have tons of extraordinary challenges! We look
forward to hearing from you!