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IBM

Watson Research Staff Member-Natural Language Processing

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What they do

A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.

$141,067 / year median in New York

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Job Description

Watson Research Staff Member-Natural Language Processing Full Time Yorktown Heights, NY, United States Posted 11 years ago IBM Category Researchers/Scientists Tags Bachelor's Degree Industry Machine Translation NLP Text Mining Text Summarization United States Share This Click to share on LinkedIn (Opens in new window) Click to share on Facebook (Opens in new window) Click to share on Twitter (Opens in new window) More Click to share on Reddit (Opens in new window) Click to share on Pinterest (Opens in new window) Click to share on Tumblr (Opens in new window) Click to share on Pocket (Opens in new window) Company Details Website Twitter LinkedIn Login to bookmark this Job Overview IBM Watson is looking for Research Staff Member in the area of Natural Language Processing (NLP).
Specific areas of interest include:
Information Extraction, Machine Translation, Machine Learning, Question Answering, Text Summarization, NLP Infrastructure and Tools Development, Text Understanding and Generation, Cross-Lingual Search, and Text Categorization. Candidates with a PhD in Computer Science, Engineering or related areas are preferred. Candidates will be expected to have research experience in the specific areas of interest mentioned above. Additionally, they are expected to have published novel theoretical approaches to these areas or to have applied them in innovative ways to commercially interesting problems as diverse as large-scale text mining and search systems, language translation systems, trans-lingual interactions, and analytics in the health care and life sciences and contact centers. Candidates must have demonstrated research expertise in NLP, electrical engineering, physics, math, or computer science. Prefer candidates with experience working for research labs.
Company:
IBM Qualifications:
Required Bachelor's Degree At least 2 years experience in Natural Language Processing (NLP) Readiness to travel 10% travel annually
English:
Intermediate Preferred Doctorate Degree At least 5 years experience in Natural Language Processing (NLP) Educational level: Bachelor's Degree Level of experience (years): Mid Career (2+ years of experience) How to apply: Please mention NLP People as a source when applying https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=
WAT-0758059
Tagged as: Bachelor's Degree , Industry , Machine Translation , NLP , Text Mining , Text Summarization , United States About IBM IBM is a global technology and innovation company headquartered in Armonk, NY. It is the largest technology and consulting employer in the world, with more than 400,000 employees serving clients in 170 countries. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame. The company was behind the inventions of the PC; SABRE tra Related Jobs Applied AI ML Lead - DocAI JPMC Candidate Experience page London, United Kingdom, United Kingdom Full Time Posted 2 weeks ago
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