Editor for this issue: Naomi Ogasawara <naomi
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Rank of Job: Applied Research Scientist Areas Required: NLP/Computational Linguistics Other Desired Areas: machine learning, data mining University or Organization: Kanisa, Inc. Department: Advanced Tachnology Group State or Province: California Country: USA Final Date of Application: n/a Contact: Max Copperman max.coppermanMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issuekanisa.com Address for Applications: 10351 Bubb Road Cupertino CA 95014 USA Staff Scientist Position Available at Kanisa Inc. (Silicon Valley) Kanisa Inc. (http://www.kanisa.com), a well-funded pre-IPO startup offering a platform for customer service on the Web, is seeking an Applied Research Scientist to join our Advanced Technology Group in Cupertino, California. The Kanisa Advanced Technology Group defines and executes projects in the realm of dialog-style interaction to reduce cool ideas and marketing notions to mere engineering problems, and then guides chosen solutions through the engineering process into our product offering. It's a multidisciplinary applied research group that identifies technological approaches to desired product and system enhancements, prototypes the approaches, and guides chosen solutions through the engineering design and implementation process. Our projects typically include a mix of domain and problem analysis, concept generation, defining and building software prototypes, the evaluation of generated solutions, the design of production-quality software implementing chosen solutions, and involvement to varying degrees in the implementation of such software. The group as a whole deals with the domains of Human/Computer Interaction, Natural Language Processing, Machine Learning, and Data Mining and Visualization. Kanisa has interesting NLP problems in document classification, corpus analysis, domain representation, and information extraction. We recognize that some NLP tasks are within computers' current capabilities while others require human knowledge or judgement. We build tools that elicit needed knowledge and judgement from people at appropriate points in the knowledge engineering process and combine it with knowledge derived from the data. Personal Qualifications Background: MA/MSc/PhD or equivalent in Natural Language Processing, Computational Linguistics or Computer Science; several years experience in NLP; strong in some of: information extraction, NLP for information retrieval, shallow parsing, text classification, statistical NLP. About Kanisa, Inc. Want to change how people use the web? Kanisa's products employ a combination of cutting-edge techniques to provide a dynamic, multiple-step, dialog-style interaction with end users. Rather than searching endlessly through masses of content, users on a Kanisa-empowered site engage in an intelligent dialog to drill down to just the information that meets their e-support or e-sales needs. Kanisa's applications allow a company to create a satisfying customer experience and get the right solutions to the customer. With this model, the company Web site can legitimately become the first point of service for customers. Kanisa works with the largest and most advanced e-Businesses in the world, from top financial service firms to hot .coms to leading high-technology manufacturers. Kanisa offers pre-IPO stock options, and outstanding salary, benefits, and work environment. Please send your resume along with req# 20-524 to: Kanisa Inc. 10351 Bubb Road Cupertino, CA 95014 Fax: 408-863-5777 max.copperman
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