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Research Scientist, Artificial Intelligence


Headquarters: Cambridge, MA,%20Artificial%20Intelligence
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IBM Research is the innovation engine of IBM. Nearly every game-changing breakthrough in the information technology industry has its roots in an IBM Research lab. It has been a home for creative scientific minds since 1945, when Thomas J. Watson Sr. established the first corporate pure science research lab in the U.S. We are primed to define the future of technology for many years to come specifically around the world of Artificial Intelligence. We believe AI will transform the world in dramatic ways in the coming years – and our Research AI group is advancing the field through our portfolio of research and through collaboration with like-minded institutions including MIT (MIT-IBM Watson Lab - ) and individuals to push the boundaries of AI faster – for the benefit of industry and society.

The mission of the IBM Research AI Interaction group is to design, create and evaluate platforms, tools and technologies that make it easy to build end-to-end AI systems at speed and scale. These systems are designed to create new partnerships between people and machines to augment and scale human expertise in every industry, from healthcare to financial services to education.

We are searching for a Research Scientist to join our AI Composition Lab in Cambridge, MA to lead research agendas and to communicate results to internal executive audiences and the academic community. We are specifically interested in scientists with interest and expertise in creating intelligent systems leveraging: traditional machine learning, deep learning (especially generative networks), reinforcement learning, natural language processing and understanding (NLP & NLU), and Q&A systems.

Required Technical and Professional Expertise

Expertise and experience in programming in one or more of these languages: Python, Java, C, C++, Go, Julia
Advanced skill level in solving analytical problems using rigorous and quantitative approaches
Advanced skill level in creating and applying a broad range of machine learning techniques in domains such as natural language processing or dialog
Experience with standard machine learning techniques and frameworks including but not limited to Theano, Tensorflow, Caffe, PyTorch
Experience communicating your research in technical communities, such as publications in NIPS, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, or similar

Preferred Tech and Prof Experience

PhD in Machine Learning, Artificial Intelligence, Computer Science, Applied Mathematics or related technical fields
Experience analyzing large scale data from a variety of sources
Design, validation, and characterization of algorithms and/or systems
Contributing to open source projects

EO Statement
IBM 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, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.