Jobs
From: NS
Date: 31 Aug 2006
Subject: San Francisco, CA: Exceptional Web Search, Extraction & ML Engineers at Radar
About Radar Networks Radar Networks is building technology
for enriching content that will catalyze the evolution of a new
dimension of the Web. This new dimension is the next frontier in
search, advertising, content distribution and commerce. The company is
presently in stealth-mode and anticipates releasing its first
commercial products in 2007.
Radar Networks was founded in 2003, by Web visionary Nova Spivack who
co-founded EarthWeb (IPO: 1998). The company has worked for several
years on a proprietary new core technology for the next-evolution of
the Web.
The Company is backed by Paul Allen�s Vulcan Capital and Leapfrog Ventures as well as leading angel investors, and is headquartered in San Francisco.
Required Skills
- Java development: Exceptional skills with Java � at least 3 � 5 years of professional (or significant academic) coding experience in Java.
- Search engines for the Web: Crawling, resource discovery, indexing, harvesting, extraction, using tools such as Lucene, Nutch, Hadoop etc. Experience in scaling search engines to handle massive amounts of data. Experience in using ontologies/taxonomies in search is desired, graph search and social network analysis are also of interest.
- Experience with modern software engineering practices and paradigms - we want you to develop beautiful code which is a pleasure to look at and is easy to maintain.
Optional Specialized Skills
- Data Extraction and Harvesting: Harvesting knowledge from unstructured and structured datasets. Entity detection, topic detection, document segmentation and classification. Familiarity with products such as InXight, GATE, UIMA, MinorThird, Mallet, WEKA, and/or other text mining technologies. Natural language processing skills are also a plus.
- Machine Learning for Search and Classification. Machine learning algorithms to assist with search, classification, clustering, personalization, optimization and data extraction. Supervised, unsupervised, Bayesian learning, SVM, HMMs, graph theory and graph search and vector search algorithms.
- Semantic Web: Experience the Semantic Web, RDF, OWL, reasoning over semantic data and ontologies.
Contact:
Send your resume and coverletter explaining why you are right for this position to jobs@radarnetworks.com.
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