|Category||Other Computer Related Services||Job type||Full Time|
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
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
Preferred Technical and Professional Expertise