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Your Role and Responsibilities
We are currently looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Scalable Knowledge Intelligence Department. We are actively building the next-generation knowledge engineering platform for the creation, maintenance and consumption of "industry-specific" knowledge bases from a large number of unstructured or semi-structured content sources in the public or enterprise domain. Industry-specific knowledge bases are the foundation of many emerging AI services and applications.
The candidate is expected to conduct innovative research on a number of components related to building next-generation enterprise-scale technologies spanning the AI lifecycle of knowledge representation, creation and refinement with data-driven and human-in-the-loop approaches, including:
Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including document conversion, text analytics, entity resolution and integration, cleansing, data transformations and machine learning
Domain adaptability and easy-to-use interfaces for key user personas for the individual analytic stages,
Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries.
Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces,
We are looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in natural language processing (NLP) and machine learning. You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.
Required Technical and Professional Expertise
PhD degree in computer science, electrical engineering, statistics, or related technical field.
Deep knowledge in NLP and machine learning - including semantic parsing, deep learning, and scalable analysis of large knowledge graphs.
Experience with one or more general purpose programming languages and machine learning packages.
Publication record in top-tier journals or conferences such as NIPS, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, or similar
Preferred Technical and Professional Expertise
About Business UnitWith more than 3,000 researchers in 12 labs located across six continents, IBM Research brings together hundreds of researchers who possess unparalleled industry expertise to address some of the world's most challenging problems.
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About IBMThe IBM Research Division conducts scientific research and develops technologies and processes for use with IBM products and customer applications. IBM Research has produced leading contributions to the technology underlying IBM's product portfolio, as well as to the world of science and the entire IT industry. For more information please visit www.research.ibm.com.
The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
IBM intends this job to be performed entirely outside of Colorado.
Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.