Research Staff Member, Interpretable Machine Learning

Job description

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 – http://mitibmwatsonailab.edu/ ) and individuals to push the boundaries of AI faster – for the benefit of industry and society.

Description

Our Research AI Lab is looking for researchers who are as passionate as we are about Artificial Intelligence, advancing science, and crafting interpretable algorithms and visual interfaces to help invent the next generation of AI. We have an ambitious AI research agenda, and we are looking for a researcher experienced and passionate about the areas of Interpretable Machine Learning, Deep Neural Networks, Explainable AI and Visualization / Visual Analytics.

At IBM Research, we diligently craft a work environment that encourages forward-thinking and thoughtful work. Our environment blends the areas of academia (publishing and speaking at leading academic conferences and journals, collaborations with academic peers) as well as industry (vast computing resources, little emphasis on writing grants). As an IBM Researcher, you get to work on the most state of the art and exciting projects and will partner with some of the brightest minds. We want to bring out the best in you and expect you to do the same to us. Your dedicated approach to creative problem solving will be essential to the success of our team and the company.

Responsibilities
·  Conduct world-class research that combines deep learning, visualization and interpretability of AI
·  Make machine Learning models and their decisions interpretable
·  Craft explanation mechanisms that will describe the internals of a system in a way that is understandable to humans by conducting research in interpretability
·  Collaborate with other researchers, engineers and team members on theoretical and practical projects
·  Publish in credible conferences and journals and file patent disclosures when appropriate

081583
Auto req ID

188098BR
Required Education

Doctorate Degree
Role ( Job Role )

Research Scientist
State / Province

MASSACHUSETTS
Primary job category

Research
Company

(0147) International Business Machines Corporation
Contract type

Regular
Employment Type

Full-Time
Is this role a commissionable/sales incentive based position?

No
Travel Required

Up to 10% or 1 day a week
IBM Business Group

Research
Preferred Education

None
City / Township / Village

CAMBRIDGE
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.
Required Technical and Professional Expertise

·  Conduct world-class research that combines deep learning, visualization and interpretability of AI
·  Make machine Learning models and their decisions interpretable
·  Craft explanation mechanisms that will describe the internals of a system in a way that is understandable to humans by conducting research in interpretability
·  Collaborate with other researchers, engineers and team members on theoretical and practical projects
·  Publish in credible conferences and journals and file patent disclosures when appropriate
Country/Region

United States
Preferred Technical and Professional Experience

·  Experience analyzing large scale data from a variety of sources
·  Design, validation, and characterization of algorithms and/or systems
·  Contributing to open source projects
Secondary Job Category

Research Staff
Eligibility Requirements

·  None
Position Type

Early Professional
Early Professional Track

Industry Early Professional